-
Notifications
You must be signed in to change notification settings - Fork 12
/
searchindex.js
1 lines (1 loc) · 691 KB
/
searchindex.js
1
Search.setIndex({"docnames": ["authors", "auto_examples/00_tutorials/index", "auto_examples/00_tutorials/plot_3d_and_4d_niimg", "auto_examples/00_tutorials/plot_decoding_tutorial", "auto_examples/00_tutorials/plot_nilearn_101", "auto_examples/00_tutorials/plot_python_101", "auto_examples/00_tutorials/plot_single_subject_single_run", "auto_examples/00_tutorials/sg_execution_times", "auto_examples/01_plotting/index", "auto_examples/01_plotting/plot_3d_map_to_surface_projection", "auto_examples/01_plotting/plot_atlas", "auto_examples/01_plotting/plot_carpet", "auto_examples/01_plotting/plot_colormaps", "auto_examples/01_plotting/plot_demo_glass_brain", "auto_examples/01_plotting/plot_demo_glass_brain_extensive", "auto_examples/01_plotting/plot_demo_more_plotting", "auto_examples/01_plotting/plot_demo_plotting", "auto_examples/01_plotting/plot_dim_plotting", "auto_examples/01_plotting/plot_haxby_masks", "auto_examples/01_plotting/plot_multiscale_parcellations", "auto_examples/01_plotting/plot_overlay", "auto_examples/01_plotting/plot_prob_atlas", "auto_examples/01_plotting/plot_surf_atlas", "auto_examples/01_plotting/plot_surf_stat_map", "auto_examples/01_plotting/plot_surface_projection_strategies", "auto_examples/01_plotting/plot_visualization", "auto_examples/01_plotting/plot_visualize_megatrawls_netmats", "auto_examples/01_plotting/sg_execution_times", "auto_examples/02_decoding/index", "auto_examples/02_decoding/plot_haxby_anova_svm", "auto_examples/02_decoding/plot_haxby_different_estimators", "auto_examples/02_decoding/plot_haxby_frem", "auto_examples/02_decoding/plot_haxby_full_analysis", "auto_examples/02_decoding/plot_haxby_glm_decoding", "auto_examples/02_decoding/plot_haxby_grid_search", "auto_examples/02_decoding/plot_haxby_multiclass", "auto_examples/02_decoding/plot_haxby_searchlight", "auto_examples/02_decoding/plot_haxby_searchlight_surface", "auto_examples/02_decoding/plot_haxby_stimuli", "auto_examples/02_decoding/plot_mixed_gambles_frem", "auto_examples/02_decoding/plot_miyawaki_encoding", "auto_examples/02_decoding/plot_miyawaki_reconstruction", "auto_examples/02_decoding/plot_oasis_vbm", "auto_examples/02_decoding/plot_oasis_vbm_space_net", "auto_examples/02_decoding/plot_simulated_data", "auto_examples/02_decoding/sg_execution_times", "auto_examples/03_connectivity/index", "auto_examples/03_connectivity/plot_atlas_comparison", "auto_examples/03_connectivity/plot_compare_decomposition", "auto_examples/03_connectivity/plot_data_driven_parcellations", "auto_examples/03_connectivity/plot_extract_regions_dictlearning_maps", "auto_examples/03_connectivity/plot_group_level_connectivity", "auto_examples/03_connectivity/plot_inverse_covariance_connectome", "auto_examples/03_connectivity/plot_multi_subject_connectome", "auto_examples/03_connectivity/plot_probabilistic_atlas_extraction", "auto_examples/03_connectivity/plot_seed_to_voxel_correlation", "auto_examples/03_connectivity/plot_signal_extraction", "auto_examples/03_connectivity/plot_simulated_connectome", "auto_examples/03_connectivity/plot_sphere_based_connectome", "auto_examples/03_connectivity/sg_execution_times", "auto_examples/04_glm_first_level/index", "auto_examples/04_glm_first_level/plot_adhd_dmn", "auto_examples/04_glm_first_level/plot_bids_features", "auto_examples/04_glm_first_level/plot_design_matrix", "auto_examples/04_glm_first_level/plot_fiac_analysis", "auto_examples/04_glm_first_level/plot_fir_model", "auto_examples/04_glm_first_level/plot_first_level_details", "auto_examples/04_glm_first_level/plot_fixed_effects", "auto_examples/04_glm_first_level/plot_hrf", "auto_examples/04_glm_first_level/plot_localizer_surface_analysis", "auto_examples/04_glm_first_level/plot_predictions_residuals", "auto_examples/04_glm_first_level/plot_spm_multimodal_faces", "auto_examples/04_glm_first_level/plot_write_events_file", "auto_examples/04_glm_first_level/sg_execution_times", "auto_examples/05_glm_second_level/index", "auto_examples/05_glm_second_level/plot_oasis", "auto_examples/05_glm_second_level/plot_proportion_activated_voxels", "auto_examples/05_glm_second_level/plot_second_level_association_test", "auto_examples/05_glm_second_level/plot_second_level_design_matrix", "auto_examples/05_glm_second_level/plot_second_level_one_sample_test", "auto_examples/05_glm_second_level/plot_second_level_two_sample_test", "auto_examples/05_glm_second_level/plot_thresholding", "auto_examples/05_glm_second_level/sg_execution_times", "auto_examples/06_manipulating_images/index", "auto_examples/06_manipulating_images/plot_affine_transformation", "auto_examples/06_manipulating_images/plot_compare_mean_image", "auto_examples/06_manipulating_images/plot_extract_regions_labels_image", "auto_examples/06_manipulating_images/plot_extract_rois_smith_atlas", "auto_examples/06_manipulating_images/plot_extract_rois_statistical_maps", "auto_examples/06_manipulating_images/plot_mask_computation", "auto_examples/06_manipulating_images/plot_negate_image", "auto_examples/06_manipulating_images/plot_nifti_labels_simple", "auto_examples/06_manipulating_images/plot_nifti_simple", "auto_examples/06_manipulating_images/plot_resample_to_template", "auto_examples/06_manipulating_images/plot_roi_extraction", "auto_examples/06_manipulating_images/plot_smooth_mean_image", "auto_examples/06_manipulating_images/sg_execution_times", "auto_examples/07_advanced/index", "auto_examples/07_advanced/plot_advanced_decoding_scikit", "auto_examples/07_advanced/plot_age_group_prediction_cross_val", "auto_examples/07_advanced/plot_beta_series", "auto_examples/07_advanced/plot_bids_analysis", "auto_examples/07_advanced/plot_haxby_mass_univariate", "auto_examples/07_advanced/plot_ica_neurovault", "auto_examples/07_advanced/plot_ica_resting_state", "auto_examples/07_advanced/plot_localizer_mass_univariate_methods", "auto_examples/07_advanced/plot_localizer_simple_analysis", "auto_examples/07_advanced/plot_neurovault_meta_analysis", "auto_examples/07_advanced/plot_surface_bids_analysis", "auto_examples/07_advanced/sg_execution_times", "auto_examples/index", "bibliography", "building_blocks/index", "building_blocks/manual_pipeline", "building_blocks/neurovault", "changes/0.1.0", "changes/0.1.1", "changes/0.1.2", "changes/0.1.3", "changes/0.1.4", "changes/0.2.0", "changes/0.2.1", "changes/0.2.2", "changes/0.2.3", "changes/0.2.4", "changes/0.2.5", "changes/0.2.6", "changes/0.3.0", "changes/0.3.1", "changes/0.4.0", "changes/0.4.1", "changes/0.4.2", "changes/0.5.0", "changes/0.5.1", "changes/0.5.2", "changes/0.6.0", "changes/0.6.1", "changes/0.6.2", "changes/0.7.0", "changes/0.7.1", "changes/0.8.0", "changes/0.8.1", "changes/0.9.0", "changes/0.9.1", "changes/0.9.2", "changes/names", "changes/whats_new", "connectivity/connectome_extraction", "connectivity/functional_connectomes", "connectivity/index", "connectivity/parcellating", "connectivity/region_extraction", "connectivity/resting_state_networks", "decoding/decoding_intro", "decoding/estimator_choice", "decoding/frem", "decoding/going_further", "decoding/index", "decoding/searchlight", "decoding/space_net", "developers/group_sparse_covariance", "development", "glm/first_level_model", "glm/glm_intro", "glm/index", "glm/second_level_model", "glossary", "index", "introduction", "maintenance", "manipulating_images/index", "manipulating_images/input_output", "manipulating_images/manipulating_images", "manipulating_images/masker_objects", "modules/connectome", "modules/datasets", "modules/decoding", "modules/decomposition", "modules/generated/nilearn.connectome.ConnectivityMeasure", "modules/generated/nilearn.connectome.GroupSparseCovariance", "modules/generated/nilearn.connectome.GroupSparseCovarianceCV", "modules/generated/nilearn.connectome.cov_to_corr", "modules/generated/nilearn.connectome.group_sparse_covariance", "modules/generated/nilearn.connectome.prec_to_partial", "modules/generated/nilearn.connectome.sym_matrix_to_vec", "modules/generated/nilearn.connectome.vec_to_sym_matrix", "modules/generated/nilearn.datasets.fetch_abide_pcp", "modules/generated/nilearn.datasets.fetch_adhd", "modules/generated/nilearn.datasets.fetch_atlas_aal", "modules/generated/nilearn.datasets.fetch_atlas_allen_2011", "modules/generated/nilearn.datasets.fetch_atlas_basc_multiscale_2015", "modules/generated/nilearn.datasets.fetch_atlas_craddock_2012", "modules/generated/nilearn.datasets.fetch_atlas_destrieux_2009", "modules/generated/nilearn.datasets.fetch_atlas_difumo", "modules/generated/nilearn.datasets.fetch_atlas_harvard_oxford", "modules/generated/nilearn.datasets.fetch_atlas_juelich", "modules/generated/nilearn.datasets.fetch_atlas_msdl", "modules/generated/nilearn.datasets.fetch_atlas_pauli_2017", "modules/generated/nilearn.datasets.fetch_atlas_schaefer_2018", "modules/generated/nilearn.datasets.fetch_atlas_smith_2009", "modules/generated/nilearn.datasets.fetch_atlas_surf_destrieux", "modules/generated/nilearn.datasets.fetch_atlas_talairach", "modules/generated/nilearn.datasets.fetch_atlas_yeo_2011", "modules/generated/nilearn.datasets.fetch_bids_langloc_dataset", "modules/generated/nilearn.datasets.fetch_coords_dosenbach_2010", "modules/generated/nilearn.datasets.fetch_coords_power_2011", "modules/generated/nilearn.datasets.fetch_coords_seitzman_2018", "modules/generated/nilearn.datasets.fetch_development_fmri", "modules/generated/nilearn.datasets.fetch_ds000030_urls", "modules/generated/nilearn.datasets.fetch_fiac_first_level", "modules/generated/nilearn.datasets.fetch_haxby", "modules/generated/nilearn.datasets.fetch_icbm152_2009", "modules/generated/nilearn.datasets.fetch_icbm152_brain_gm_mask", "modules/generated/nilearn.datasets.fetch_language_localizer_demo_dataset", "modules/generated/nilearn.datasets.fetch_localizer_button_task", "modules/generated/nilearn.datasets.fetch_localizer_calculation_task", "modules/generated/nilearn.datasets.fetch_localizer_contrasts", "modules/generated/nilearn.datasets.fetch_localizer_first_level", "modules/generated/nilearn.datasets.fetch_megatrawls_netmats", "modules/generated/nilearn.datasets.fetch_mixed_gambles", "modules/generated/nilearn.datasets.fetch_miyawaki2008", "modules/generated/nilearn.datasets.fetch_neurovault", "modules/generated/nilearn.datasets.fetch_neurovault_auditory_computation_task", "modules/generated/nilearn.datasets.fetch_neurovault_ids", "modules/generated/nilearn.datasets.fetch_neurovault_motor_task", "modules/generated/nilearn.datasets.fetch_oasis_vbm", "modules/generated/nilearn.datasets.fetch_openneuro_dataset", "modules/generated/nilearn.datasets.fetch_openneuro_dataset_index", "modules/generated/nilearn.datasets.fetch_spm_auditory", "modules/generated/nilearn.datasets.fetch_spm_multimodal_fmri", "modules/generated/nilearn.datasets.fetch_surf_fsaverage", "modules/generated/nilearn.datasets.fetch_surf_nki_enhanced", "modules/generated/nilearn.datasets.get_data_dirs", "modules/generated/nilearn.datasets.load_mni152_brain_mask", "modules/generated/nilearn.datasets.load_mni152_gm_mask", "modules/generated/nilearn.datasets.load_mni152_gm_template", "modules/generated/nilearn.datasets.load_mni152_template", "modules/generated/nilearn.datasets.load_mni152_wm_mask", "modules/generated/nilearn.datasets.load_mni152_wm_template", "modules/generated/nilearn.datasets.patch_openneuro_dataset", "modules/generated/nilearn.datasets.select_from_index", "modules/generated/nilearn.decoding.Decoder", "modules/generated/nilearn.decoding.DecoderRegressor", "modules/generated/nilearn.decoding.FREMClassifier", "modules/generated/nilearn.decoding.FREMRegressor", "modules/generated/nilearn.decoding.SearchLight", "modules/generated/nilearn.decoding.SpaceNetClassifier", "modules/generated/nilearn.decoding.SpaceNetRegressor", "modules/generated/nilearn.decomposition.CanICA", "modules/generated/nilearn.decomposition.DictLearning", "modules/generated/nilearn.glm.ARModel", "modules/generated/nilearn.glm.Contrast", "modules/generated/nilearn.glm.FContrastResults", "modules/generated/nilearn.glm.LikelihoodModelResults", "modules/generated/nilearn.glm.OLSModel", "modules/generated/nilearn.glm.RegressionResults", "modules/generated/nilearn.glm.SimpleRegressionResults", "modules/generated/nilearn.glm.TContrastResults", "modules/generated/nilearn.glm.cluster_level_inference", "modules/generated/nilearn.glm.compute_contrast", "modules/generated/nilearn.glm.compute_fixed_effects", "modules/generated/nilearn.glm.expression_to_contrast_vector", "modules/generated/nilearn.glm.fdr_threshold", "modules/generated/nilearn.glm.first_level.FirstLevelModel", "modules/generated/nilearn.glm.first_level.check_design_matrix", "modules/generated/nilearn.glm.first_level.compute_regressor", "modules/generated/nilearn.glm.first_level.first_level_from_bids", "modules/generated/nilearn.glm.first_level.glover_dispersion_derivative", "modules/generated/nilearn.glm.first_level.glover_hrf", "modules/generated/nilearn.glm.first_level.glover_time_derivative", "modules/generated/nilearn.glm.first_level.make_first_level_design_matrix", "modules/generated/nilearn.glm.first_level.mean_scaling", "modules/generated/nilearn.glm.first_level.run_glm", "modules/generated/nilearn.glm.first_level.spm_dispersion_derivative", "modules/generated/nilearn.glm.first_level.spm_hrf", "modules/generated/nilearn.glm.first_level.spm_time_derivative", "modules/generated/nilearn.glm.second_level.SecondLevelModel", "modules/generated/nilearn.glm.second_level.make_second_level_design_matrix", "modules/generated/nilearn.glm.second_level.non_parametric_inference", "modules/generated/nilearn.glm.threshold_stats_img", "modules/generated/nilearn.image.binarize_img", "modules/generated/nilearn.image.clean_img", "modules/generated/nilearn.image.concat_imgs", "modules/generated/nilearn.image.coord_transform", "modules/generated/nilearn.image.copy_img", "modules/generated/nilearn.image.crop_img", "modules/generated/nilearn.image.get_data", "modules/generated/nilearn.image.high_variance_confounds", "modules/generated/nilearn.image.index_img", "modules/generated/nilearn.image.iter_img", "modules/generated/nilearn.image.largest_connected_component_img", "modules/generated/nilearn.image.load_img", "modules/generated/nilearn.image.math_img", "modules/generated/nilearn.image.mean_img", "modules/generated/nilearn.image.new_img_like", "modules/generated/nilearn.image.reorder_img", "modules/generated/nilearn.image.resample_img", "modules/generated/nilearn.image.resample_to_img", "modules/generated/nilearn.image.smooth_img", "modules/generated/nilearn.image.swap_img_hemispheres", "modules/generated/nilearn.image.threshold_img", "modules/generated/nilearn.interfaces.bids.get_bids_files", "modules/generated/nilearn.interfaces.bids.parse_bids_filename", "modules/generated/nilearn.interfaces.bids.save_glm_to_bids", "modules/generated/nilearn.interfaces.fmriprep.load_confounds", "modules/generated/nilearn.interfaces.fmriprep.load_confounds_strategy", "modules/generated/nilearn.interfaces.fsl.get_design_from_fslmat", "modules/generated/nilearn.maskers.BaseMasker", "modules/generated/nilearn.maskers.MultiNiftiMasker", "modules/generated/nilearn.maskers.NiftiLabelsMasker", "modules/generated/nilearn.maskers.NiftiMapsMasker", "modules/generated/nilearn.maskers.NiftiMasker", "modules/generated/nilearn.maskers.NiftiSpheresMasker", "modules/generated/nilearn.masking.apply_mask", "modules/generated/nilearn.masking.compute_background_mask", "modules/generated/nilearn.masking.compute_brain_mask", "modules/generated/nilearn.masking.compute_epi_mask", "modules/generated/nilearn.masking.compute_multi_background_mask", "modules/generated/nilearn.masking.compute_multi_brain_mask", "modules/generated/nilearn.masking.compute_multi_epi_mask", "modules/generated/nilearn.masking.intersect_masks", "modules/generated/nilearn.masking.unmask", "modules/generated/nilearn.mass_univariate.permuted_ols", "modules/generated/nilearn.plotting.displays.BaseAxes", "modules/generated/nilearn.plotting.displays.BaseSlicer", "modules/generated/nilearn.plotting.displays.CutAxes", "modules/generated/nilearn.plotting.displays.GlassBrainAxes", "modules/generated/nilearn.plotting.displays.LProjector", "modules/generated/nilearn.plotting.displays.LRProjector", "modules/generated/nilearn.plotting.displays.LYRProjector", "modules/generated/nilearn.plotting.displays.LYRZProjector", "modules/generated/nilearn.plotting.displays.LZRProjector", "modules/generated/nilearn.plotting.displays.LZRYProjector", "modules/generated/nilearn.plotting.displays.MosaicSlicer", "modules/generated/nilearn.plotting.displays.OrthoProjector", "modules/generated/nilearn.plotting.displays.OrthoSlicer", "modules/generated/nilearn.plotting.displays.PlotlySurfaceFigure", "modules/generated/nilearn.plotting.displays.RProjector", "modules/generated/nilearn.plotting.displays.TiledSlicer", "modules/generated/nilearn.plotting.displays.XProjector", "modules/generated/nilearn.plotting.displays.XSlicer", "modules/generated/nilearn.plotting.displays.XZProjector", "modules/generated/nilearn.plotting.displays.XZSlicer", "modules/generated/nilearn.plotting.displays.YProjector", "modules/generated/nilearn.plotting.displays.YSlicer", "modules/generated/nilearn.plotting.displays.YXProjector", "modules/generated/nilearn.plotting.displays.YXSlicer", "modules/generated/nilearn.plotting.displays.YZProjector", "modules/generated/nilearn.plotting.displays.YZSlicer", "modules/generated/nilearn.plotting.displays.ZProjector", "modules/generated/nilearn.plotting.displays.ZSlicer", "modules/generated/nilearn.plotting.displays.get_projector", "modules/generated/nilearn.plotting.displays.get_slicer", "modules/generated/nilearn.plotting.find_cut_slices", "modules/generated/nilearn.plotting.find_parcellation_cut_coords", "modules/generated/nilearn.plotting.find_probabilistic_atlas_cut_coords", "modules/generated/nilearn.plotting.find_xyz_cut_coords", "modules/generated/nilearn.plotting.plot_anat", "modules/generated/nilearn.plotting.plot_carpet", "modules/generated/nilearn.plotting.plot_connectome", "modules/generated/nilearn.plotting.plot_contrast_matrix", "modules/generated/nilearn.plotting.plot_design_matrix", "modules/generated/nilearn.plotting.plot_epi", "modules/generated/nilearn.plotting.plot_event", "modules/generated/nilearn.plotting.plot_glass_brain", "modules/generated/nilearn.plotting.plot_img", "modules/generated/nilearn.plotting.plot_img_comparison", "modules/generated/nilearn.plotting.plot_img_on_surf", "modules/generated/nilearn.plotting.plot_markers", "modules/generated/nilearn.plotting.plot_matrix", "modules/generated/nilearn.plotting.plot_prob_atlas", "modules/generated/nilearn.plotting.plot_roi", "modules/generated/nilearn.plotting.plot_stat_map", "modules/generated/nilearn.plotting.plot_surf", "modules/generated/nilearn.plotting.plot_surf_contours", "modules/generated/nilearn.plotting.plot_surf_roi", "modules/generated/nilearn.plotting.plot_surf_stat_map", "modules/generated/nilearn.plotting.show", "modules/generated/nilearn.plotting.view_connectome", "modules/generated/nilearn.plotting.view_img", "modules/generated/nilearn.plotting.view_img_on_surf", "modules/generated/nilearn.plotting.view_markers", "modules/generated/nilearn.plotting.view_surf", "modules/generated/nilearn.regions.HierarchicalKMeans", "modules/generated/nilearn.regions.Parcellations", "modules/generated/nilearn.regions.ReNA", "modules/generated/nilearn.regions.RegionExtractor", "modules/generated/nilearn.regions.connected_label_regions", "modules/generated/nilearn.regions.connected_regions", "modules/generated/nilearn.regions.img_to_signals_labels", "modules/generated/nilearn.regions.img_to_signals_maps", "modules/generated/nilearn.regions.signals_to_img_labels", "modules/generated/nilearn.regions.signals_to_img_maps", "modules/generated/nilearn.reporting.HTMLReport", "modules/generated/nilearn.reporting.get_clusters_table", "modules/generated/nilearn.reporting.make_glm_report", "modules/generated/nilearn.signal.butterworth", "modules/generated/nilearn.signal.clean", "modules/generated/nilearn.signal.high_variance_confounds", "modules/generated/nilearn.surface.load_surf_data", "modules/generated/nilearn.surface.load_surf_mesh", "modules/generated/nilearn.surface.vol_to_surf", "modules/glm", "modules/image", "modules/index", "modules/interfaces", "modules/maskers", "modules/masking", "modules/mass_univariate", "modules/plotting", "modules/regions", "modules/reporting", "modules/signal", "modules/surface", "nistats_migration", "plotting/index", "quickstart", "user_guide"], "filenames": ["authors.rst", "auto_examples/00_tutorials/index.rst", "auto_examples/00_tutorials/plot_3d_and_4d_niimg.rst", "auto_examples/00_tutorials/plot_decoding_tutorial.rst", "auto_examples/00_tutorials/plot_nilearn_101.rst", "auto_examples/00_tutorials/plot_python_101.rst", "auto_examples/00_tutorials/plot_single_subject_single_run.rst", "auto_examples/00_tutorials/sg_execution_times.rst", "auto_examples/01_plotting/index.rst", "auto_examples/01_plotting/plot_3d_map_to_surface_projection.rst", "auto_examples/01_plotting/plot_atlas.rst", "auto_examples/01_plotting/plot_carpet.rst", "auto_examples/01_plotting/plot_colormaps.rst", "auto_examples/01_plotting/plot_demo_glass_brain.rst", "auto_examples/01_plotting/plot_demo_glass_brain_extensive.rst", "auto_examples/01_plotting/plot_demo_more_plotting.rst", "auto_examples/01_plotting/plot_demo_plotting.rst", "auto_examples/01_plotting/plot_dim_plotting.rst", "auto_examples/01_plotting/plot_haxby_masks.rst", "auto_examples/01_plotting/plot_multiscale_parcellations.rst", "auto_examples/01_plotting/plot_overlay.rst", "auto_examples/01_plotting/plot_prob_atlas.rst", "auto_examples/01_plotting/plot_surf_atlas.rst", "auto_examples/01_plotting/plot_surf_stat_map.rst", "auto_examples/01_plotting/plot_surface_projection_strategies.rst", "auto_examples/01_plotting/plot_visualization.rst", "auto_examples/01_plotting/plot_visualize_megatrawls_netmats.rst", "auto_examples/01_plotting/sg_execution_times.rst", "auto_examples/02_decoding/index.rst", "auto_examples/02_decoding/plot_haxby_anova_svm.rst", "auto_examples/02_decoding/plot_haxby_different_estimators.rst", "auto_examples/02_decoding/plot_haxby_frem.rst", "auto_examples/02_decoding/plot_haxby_full_analysis.rst", "auto_examples/02_decoding/plot_haxby_glm_decoding.rst", "auto_examples/02_decoding/plot_haxby_grid_search.rst", "auto_examples/02_decoding/plot_haxby_multiclass.rst", "auto_examples/02_decoding/plot_haxby_searchlight.rst", "auto_examples/02_decoding/plot_haxby_searchlight_surface.rst", "auto_examples/02_decoding/plot_haxby_stimuli.rst", "auto_examples/02_decoding/plot_mixed_gambles_frem.rst", "auto_examples/02_decoding/plot_miyawaki_encoding.rst", "auto_examples/02_decoding/plot_miyawaki_reconstruction.rst", "auto_examples/02_decoding/plot_oasis_vbm.rst", "auto_examples/02_decoding/plot_oasis_vbm_space_net.rst", "auto_examples/02_decoding/plot_simulated_data.rst", "auto_examples/02_decoding/sg_execution_times.rst", "auto_examples/03_connectivity/index.rst", "auto_examples/03_connectivity/plot_atlas_comparison.rst", "auto_examples/03_connectivity/plot_compare_decomposition.rst", "auto_examples/03_connectivity/plot_data_driven_parcellations.rst", "auto_examples/03_connectivity/plot_extract_regions_dictlearning_maps.rst", "auto_examples/03_connectivity/plot_group_level_connectivity.rst", "auto_examples/03_connectivity/plot_inverse_covariance_connectome.rst", "auto_examples/03_connectivity/plot_multi_subject_connectome.rst", "auto_examples/03_connectivity/plot_probabilistic_atlas_extraction.rst", "auto_examples/03_connectivity/plot_seed_to_voxel_correlation.rst", "auto_examples/03_connectivity/plot_signal_extraction.rst", "auto_examples/03_connectivity/plot_simulated_connectome.rst", "auto_examples/03_connectivity/plot_sphere_based_connectome.rst", "auto_examples/03_connectivity/sg_execution_times.rst", "auto_examples/04_glm_first_level/index.rst", "auto_examples/04_glm_first_level/plot_adhd_dmn.rst", "auto_examples/04_glm_first_level/plot_bids_features.rst", "auto_examples/04_glm_first_level/plot_design_matrix.rst", "auto_examples/04_glm_first_level/plot_fiac_analysis.rst", "auto_examples/04_glm_first_level/plot_fir_model.rst", "auto_examples/04_glm_first_level/plot_first_level_details.rst", "auto_examples/04_glm_first_level/plot_fixed_effects.rst", "auto_examples/04_glm_first_level/plot_hrf.rst", "auto_examples/04_glm_first_level/plot_localizer_surface_analysis.rst", "auto_examples/04_glm_first_level/plot_predictions_residuals.rst", "auto_examples/04_glm_first_level/plot_spm_multimodal_faces.rst", "auto_examples/04_glm_first_level/plot_write_events_file.rst", "auto_examples/04_glm_first_level/sg_execution_times.rst", "auto_examples/05_glm_second_level/index.rst", "auto_examples/05_glm_second_level/plot_oasis.rst", "auto_examples/05_glm_second_level/plot_proportion_activated_voxels.rst", "auto_examples/05_glm_second_level/plot_second_level_association_test.rst", "auto_examples/05_glm_second_level/plot_second_level_design_matrix.rst", "auto_examples/05_glm_second_level/plot_second_level_one_sample_test.rst", "auto_examples/05_glm_second_level/plot_second_level_two_sample_test.rst", "auto_examples/05_glm_second_level/plot_thresholding.rst", "auto_examples/05_glm_second_level/sg_execution_times.rst", "auto_examples/06_manipulating_images/index.rst", "auto_examples/06_manipulating_images/plot_affine_transformation.rst", "auto_examples/06_manipulating_images/plot_compare_mean_image.rst", "auto_examples/06_manipulating_images/plot_extract_regions_labels_image.rst", "auto_examples/06_manipulating_images/plot_extract_rois_smith_atlas.rst", "auto_examples/06_manipulating_images/plot_extract_rois_statistical_maps.rst", "auto_examples/06_manipulating_images/plot_mask_computation.rst", "auto_examples/06_manipulating_images/plot_negate_image.rst", "auto_examples/06_manipulating_images/plot_nifti_labels_simple.rst", "auto_examples/06_manipulating_images/plot_nifti_simple.rst", "auto_examples/06_manipulating_images/plot_resample_to_template.rst", "auto_examples/06_manipulating_images/plot_roi_extraction.rst", "auto_examples/06_manipulating_images/plot_smooth_mean_image.rst", "auto_examples/06_manipulating_images/sg_execution_times.rst", "auto_examples/07_advanced/index.rst", "auto_examples/07_advanced/plot_advanced_decoding_scikit.rst", "auto_examples/07_advanced/plot_age_group_prediction_cross_val.rst", "auto_examples/07_advanced/plot_beta_series.rst", "auto_examples/07_advanced/plot_bids_analysis.rst", "auto_examples/07_advanced/plot_haxby_mass_univariate.rst", "auto_examples/07_advanced/plot_ica_neurovault.rst", "auto_examples/07_advanced/plot_ica_resting_state.rst", "auto_examples/07_advanced/plot_localizer_mass_univariate_methods.rst", "auto_examples/07_advanced/plot_localizer_simple_analysis.rst", "auto_examples/07_advanced/plot_neurovault_meta_analysis.rst", "auto_examples/07_advanced/plot_surface_bids_analysis.rst", "auto_examples/07_advanced/sg_execution_times.rst", "auto_examples/index.rst", "bibliography.rst", "building_blocks/index.rst", "building_blocks/manual_pipeline.rst", "building_blocks/neurovault.rst", "changes/0.1.0.rst", "changes/0.1.1.rst", "changes/0.1.2.rst", "changes/0.1.3.rst", "changes/0.1.4.rst", "changes/0.2.0.rst", "changes/0.2.1.rst", "changes/0.2.2.rst", "changes/0.2.3.rst", "changes/0.2.4.rst", "changes/0.2.5.rst", "changes/0.2.6.rst", "changes/0.3.0.rst", "changes/0.3.1.rst", "changes/0.4.0.rst", "changes/0.4.1.rst", "changes/0.4.2.rst", "changes/0.5.0.rst", "changes/0.5.1.rst", "changes/0.5.2.rst", "changes/0.6.0.rst", "changes/0.6.1.rst", "changes/0.6.2.rst", "changes/0.7.0.rst", "changes/0.7.1.rst", "changes/0.8.0.rst", "changes/0.8.1.rst", "changes/0.9.0.rst", "changes/0.9.1.rst", "changes/0.9.2.rst", "changes/names.rst", "changes/whats_new.rst", "connectivity/connectome_extraction.rst", "connectivity/functional_connectomes.rst", "connectivity/index.rst", "connectivity/parcellating.rst", "connectivity/region_extraction.rst", "connectivity/resting_state_networks.rst", "decoding/decoding_intro.rst", "decoding/estimator_choice.rst", "decoding/frem.rst", "decoding/going_further.rst", "decoding/index.rst", "decoding/searchlight.rst", "decoding/space_net.rst", "developers/group_sparse_covariance.rst", "development.rst", "glm/first_level_model.rst", "glm/glm_intro.rst", "glm/index.rst", "glm/second_level_model.rst", "glossary.rst", "index.rst", "introduction.rst", "maintenance.rst", "manipulating_images/index.rst", "manipulating_images/input_output.rst", "manipulating_images/manipulating_images.rst", "manipulating_images/masker_objects.rst", "modules/connectome.rst", "modules/datasets.rst", "modules/decoding.rst", "modules/decomposition.rst", "modules/generated/nilearn.connectome.ConnectivityMeasure.rst", "modules/generated/nilearn.connectome.GroupSparseCovariance.rst", "modules/generated/nilearn.connectome.GroupSparseCovarianceCV.rst", "modules/generated/nilearn.connectome.cov_to_corr.rst", "modules/generated/nilearn.connectome.group_sparse_covariance.rst", "modules/generated/nilearn.connectome.prec_to_partial.rst", "modules/generated/nilearn.connectome.sym_matrix_to_vec.rst", "modules/generated/nilearn.connectome.vec_to_sym_matrix.rst", "modules/generated/nilearn.datasets.fetch_abide_pcp.rst", "modules/generated/nilearn.datasets.fetch_adhd.rst", "modules/generated/nilearn.datasets.fetch_atlas_aal.rst", "modules/generated/nilearn.datasets.fetch_atlas_allen_2011.rst", "modules/generated/nilearn.datasets.fetch_atlas_basc_multiscale_2015.rst", "modules/generated/nilearn.datasets.fetch_atlas_craddock_2012.rst", "modules/generated/nilearn.datasets.fetch_atlas_destrieux_2009.rst", "modules/generated/nilearn.datasets.fetch_atlas_difumo.rst", "modules/generated/nilearn.datasets.fetch_atlas_harvard_oxford.rst", "modules/generated/nilearn.datasets.fetch_atlas_juelich.rst", "modules/generated/nilearn.datasets.fetch_atlas_msdl.rst", "modules/generated/nilearn.datasets.fetch_atlas_pauli_2017.rst", "modules/generated/nilearn.datasets.fetch_atlas_schaefer_2018.rst", "modules/generated/nilearn.datasets.fetch_atlas_smith_2009.rst", "modules/generated/nilearn.datasets.fetch_atlas_surf_destrieux.rst", "modules/generated/nilearn.datasets.fetch_atlas_talairach.rst", "modules/generated/nilearn.datasets.fetch_atlas_yeo_2011.rst", "modules/generated/nilearn.datasets.fetch_bids_langloc_dataset.rst", "modules/generated/nilearn.datasets.fetch_coords_dosenbach_2010.rst", "modules/generated/nilearn.datasets.fetch_coords_power_2011.rst", "modules/generated/nilearn.datasets.fetch_coords_seitzman_2018.rst", "modules/generated/nilearn.datasets.fetch_development_fmri.rst", "modules/generated/nilearn.datasets.fetch_ds000030_urls.rst", "modules/generated/nilearn.datasets.fetch_fiac_first_level.rst", "modules/generated/nilearn.datasets.fetch_haxby.rst", "modules/generated/nilearn.datasets.fetch_icbm152_2009.rst", "modules/generated/nilearn.datasets.fetch_icbm152_brain_gm_mask.rst", "modules/generated/nilearn.datasets.fetch_language_localizer_demo_dataset.rst", "modules/generated/nilearn.datasets.fetch_localizer_button_task.rst", "modules/generated/nilearn.datasets.fetch_localizer_calculation_task.rst", "modules/generated/nilearn.datasets.fetch_localizer_contrasts.rst", "modules/generated/nilearn.datasets.fetch_localizer_first_level.rst", "modules/generated/nilearn.datasets.fetch_megatrawls_netmats.rst", "modules/generated/nilearn.datasets.fetch_mixed_gambles.rst", "modules/generated/nilearn.datasets.fetch_miyawaki2008.rst", "modules/generated/nilearn.datasets.fetch_neurovault.rst", "modules/generated/nilearn.datasets.fetch_neurovault_auditory_computation_task.rst", "modules/generated/nilearn.datasets.fetch_neurovault_ids.rst", "modules/generated/nilearn.datasets.fetch_neurovault_motor_task.rst", "modules/generated/nilearn.datasets.fetch_oasis_vbm.rst", "modules/generated/nilearn.datasets.fetch_openneuro_dataset.rst", "modules/generated/nilearn.datasets.fetch_openneuro_dataset_index.rst", "modules/generated/nilearn.datasets.fetch_spm_auditory.rst", "modules/generated/nilearn.datasets.fetch_spm_multimodal_fmri.rst", "modules/generated/nilearn.datasets.fetch_surf_fsaverage.rst", "modules/generated/nilearn.datasets.fetch_surf_nki_enhanced.rst", "modules/generated/nilearn.datasets.get_data_dirs.rst", "modules/generated/nilearn.datasets.load_mni152_brain_mask.rst", "modules/generated/nilearn.datasets.load_mni152_gm_mask.rst", "modules/generated/nilearn.datasets.load_mni152_gm_template.rst", "modules/generated/nilearn.datasets.load_mni152_template.rst", "modules/generated/nilearn.datasets.load_mni152_wm_mask.rst", "modules/generated/nilearn.datasets.load_mni152_wm_template.rst", "modules/generated/nilearn.datasets.patch_openneuro_dataset.rst", "modules/generated/nilearn.datasets.select_from_index.rst", "modules/generated/nilearn.decoding.Decoder.rst", "modules/generated/nilearn.decoding.DecoderRegressor.rst", "modules/generated/nilearn.decoding.FREMClassifier.rst", "modules/generated/nilearn.decoding.FREMRegressor.rst", "modules/generated/nilearn.decoding.SearchLight.rst", "modules/generated/nilearn.decoding.SpaceNetClassifier.rst", "modules/generated/nilearn.decoding.SpaceNetRegressor.rst", "modules/generated/nilearn.decomposition.CanICA.rst", "modules/generated/nilearn.decomposition.DictLearning.rst", "modules/generated/nilearn.glm.ARModel.rst", "modules/generated/nilearn.glm.Contrast.rst", "modules/generated/nilearn.glm.FContrastResults.rst", "modules/generated/nilearn.glm.LikelihoodModelResults.rst", "modules/generated/nilearn.glm.OLSModel.rst", "modules/generated/nilearn.glm.RegressionResults.rst", "modules/generated/nilearn.glm.SimpleRegressionResults.rst", "modules/generated/nilearn.glm.TContrastResults.rst", "modules/generated/nilearn.glm.cluster_level_inference.rst", "modules/generated/nilearn.glm.compute_contrast.rst", "modules/generated/nilearn.glm.compute_fixed_effects.rst", "modules/generated/nilearn.glm.expression_to_contrast_vector.rst", "modules/generated/nilearn.glm.fdr_threshold.rst", "modules/generated/nilearn.glm.first_level.FirstLevelModel.rst", "modules/generated/nilearn.glm.first_level.check_design_matrix.rst", "modules/generated/nilearn.glm.first_level.compute_regressor.rst", "modules/generated/nilearn.glm.first_level.first_level_from_bids.rst", "modules/generated/nilearn.glm.first_level.glover_dispersion_derivative.rst", "modules/generated/nilearn.glm.first_level.glover_hrf.rst", "modules/generated/nilearn.glm.first_level.glover_time_derivative.rst", "modules/generated/nilearn.glm.first_level.make_first_level_design_matrix.rst", "modules/generated/nilearn.glm.first_level.mean_scaling.rst", "modules/generated/nilearn.glm.first_level.run_glm.rst", "modules/generated/nilearn.glm.first_level.spm_dispersion_derivative.rst", "modules/generated/nilearn.glm.first_level.spm_hrf.rst", "modules/generated/nilearn.glm.first_level.spm_time_derivative.rst", "modules/generated/nilearn.glm.second_level.SecondLevelModel.rst", "modules/generated/nilearn.glm.second_level.make_second_level_design_matrix.rst", "modules/generated/nilearn.glm.second_level.non_parametric_inference.rst", "modules/generated/nilearn.glm.threshold_stats_img.rst", "modules/generated/nilearn.image.binarize_img.rst", "modules/generated/nilearn.image.clean_img.rst", "modules/generated/nilearn.image.concat_imgs.rst", "modules/generated/nilearn.image.coord_transform.rst", "modules/generated/nilearn.image.copy_img.rst", "modules/generated/nilearn.image.crop_img.rst", "modules/generated/nilearn.image.get_data.rst", "modules/generated/nilearn.image.high_variance_confounds.rst", "modules/generated/nilearn.image.index_img.rst", "modules/generated/nilearn.image.iter_img.rst", "modules/generated/nilearn.image.largest_connected_component_img.rst", "modules/generated/nilearn.image.load_img.rst", "modules/generated/nilearn.image.math_img.rst", "modules/generated/nilearn.image.mean_img.rst", "modules/generated/nilearn.image.new_img_like.rst", "modules/generated/nilearn.image.reorder_img.rst", "modules/generated/nilearn.image.resample_img.rst", "modules/generated/nilearn.image.resample_to_img.rst", "modules/generated/nilearn.image.smooth_img.rst", "modules/generated/nilearn.image.swap_img_hemispheres.rst", "modules/generated/nilearn.image.threshold_img.rst", "modules/generated/nilearn.interfaces.bids.get_bids_files.rst", "modules/generated/nilearn.interfaces.bids.parse_bids_filename.rst", "modules/generated/nilearn.interfaces.bids.save_glm_to_bids.rst", "modules/generated/nilearn.interfaces.fmriprep.load_confounds.rst", "modules/generated/nilearn.interfaces.fmriprep.load_confounds_strategy.rst", "modules/generated/nilearn.interfaces.fsl.get_design_from_fslmat.rst", "modules/generated/nilearn.maskers.BaseMasker.rst", "modules/generated/nilearn.maskers.MultiNiftiMasker.rst", "modules/generated/nilearn.maskers.NiftiLabelsMasker.rst", "modules/generated/nilearn.maskers.NiftiMapsMasker.rst", "modules/generated/nilearn.maskers.NiftiMasker.rst", "modules/generated/nilearn.maskers.NiftiSpheresMasker.rst", "modules/generated/nilearn.masking.apply_mask.rst", "modules/generated/nilearn.masking.compute_background_mask.rst", "modules/generated/nilearn.masking.compute_brain_mask.rst", "modules/generated/nilearn.masking.compute_epi_mask.rst", "modules/generated/nilearn.masking.compute_multi_background_mask.rst", "modules/generated/nilearn.masking.compute_multi_brain_mask.rst", "modules/generated/nilearn.masking.compute_multi_epi_mask.rst", "modules/generated/nilearn.masking.intersect_masks.rst", "modules/generated/nilearn.masking.unmask.rst", "modules/generated/nilearn.mass_univariate.permuted_ols.rst", "modules/generated/nilearn.plotting.displays.BaseAxes.rst", "modules/generated/nilearn.plotting.displays.BaseSlicer.rst", "modules/generated/nilearn.plotting.displays.CutAxes.rst", "modules/generated/nilearn.plotting.displays.GlassBrainAxes.rst", "modules/generated/nilearn.plotting.displays.LProjector.rst", "modules/generated/nilearn.plotting.displays.LRProjector.rst", "modules/generated/nilearn.plotting.displays.LYRProjector.rst", "modules/generated/nilearn.plotting.displays.LYRZProjector.rst", "modules/generated/nilearn.plotting.displays.LZRProjector.rst", "modules/generated/nilearn.plotting.displays.LZRYProjector.rst", "modules/generated/nilearn.plotting.displays.MosaicSlicer.rst", "modules/generated/nilearn.plotting.displays.OrthoProjector.rst", "modules/generated/nilearn.plotting.displays.OrthoSlicer.rst", "modules/generated/nilearn.plotting.displays.PlotlySurfaceFigure.rst", "modules/generated/nilearn.plotting.displays.RProjector.rst", "modules/generated/nilearn.plotting.displays.TiledSlicer.rst", "modules/generated/nilearn.plotting.displays.XProjector.rst", "modules/generated/nilearn.plotting.displays.XSlicer.rst", "modules/generated/nilearn.plotting.displays.XZProjector.rst", "modules/generated/nilearn.plotting.displays.XZSlicer.rst", "modules/generated/nilearn.plotting.displays.YProjector.rst", "modules/generated/nilearn.plotting.displays.YSlicer.rst", "modules/generated/nilearn.plotting.displays.YXProjector.rst", "modules/generated/nilearn.plotting.displays.YXSlicer.rst", "modules/generated/nilearn.plotting.displays.YZProjector.rst", "modules/generated/nilearn.plotting.displays.YZSlicer.rst", "modules/generated/nilearn.plotting.displays.ZProjector.rst", "modules/generated/nilearn.plotting.displays.ZSlicer.rst", "modules/generated/nilearn.plotting.displays.get_projector.rst", "modules/generated/nilearn.plotting.displays.get_slicer.rst", "modules/generated/nilearn.plotting.find_cut_slices.rst", "modules/generated/nilearn.plotting.find_parcellation_cut_coords.rst", "modules/generated/nilearn.plotting.find_probabilistic_atlas_cut_coords.rst", "modules/generated/nilearn.plotting.find_xyz_cut_coords.rst", "modules/generated/nilearn.plotting.plot_anat.rst", "modules/generated/nilearn.plotting.plot_carpet.rst", "modules/generated/nilearn.plotting.plot_connectome.rst", "modules/generated/nilearn.plotting.plot_contrast_matrix.rst", "modules/generated/nilearn.plotting.plot_design_matrix.rst", "modules/generated/nilearn.plotting.plot_epi.rst", "modules/generated/nilearn.plotting.plot_event.rst", "modules/generated/nilearn.plotting.plot_glass_brain.rst", "modules/generated/nilearn.plotting.plot_img.rst", "modules/generated/nilearn.plotting.plot_img_comparison.rst", "modules/generated/nilearn.plotting.plot_img_on_surf.rst", "modules/generated/nilearn.plotting.plot_markers.rst", "modules/generated/nilearn.plotting.plot_matrix.rst", "modules/generated/nilearn.plotting.plot_prob_atlas.rst", "modules/generated/nilearn.plotting.plot_roi.rst", "modules/generated/nilearn.plotting.plot_stat_map.rst", "modules/generated/nilearn.plotting.plot_surf.rst", "modules/generated/nilearn.plotting.plot_surf_contours.rst", "modules/generated/nilearn.plotting.plot_surf_roi.rst", "modules/generated/nilearn.plotting.plot_surf_stat_map.rst", "modules/generated/nilearn.plotting.show.rst", "modules/generated/nilearn.plotting.view_connectome.rst", "modules/generated/nilearn.plotting.view_img.rst", "modules/generated/nilearn.plotting.view_img_on_surf.rst", "modules/generated/nilearn.plotting.view_markers.rst", "modules/generated/nilearn.plotting.view_surf.rst", "modules/generated/nilearn.regions.HierarchicalKMeans.rst", "modules/generated/nilearn.regions.Parcellations.rst", "modules/generated/nilearn.regions.ReNA.rst", "modules/generated/nilearn.regions.RegionExtractor.rst", "modules/generated/nilearn.regions.connected_label_regions.rst", "modules/generated/nilearn.regions.connected_regions.rst", "modules/generated/nilearn.regions.img_to_signals_labels.rst", "modules/generated/nilearn.regions.img_to_signals_maps.rst", "modules/generated/nilearn.regions.signals_to_img_labels.rst", "modules/generated/nilearn.regions.signals_to_img_maps.rst", "modules/generated/nilearn.reporting.HTMLReport.rst", "modules/generated/nilearn.reporting.get_clusters_table.rst", "modules/generated/nilearn.reporting.make_glm_report.rst", "modules/generated/nilearn.signal.butterworth.rst", "modules/generated/nilearn.signal.clean.rst", "modules/generated/nilearn.signal.high_variance_confounds.rst", "modules/generated/nilearn.surface.load_surf_data.rst", "modules/generated/nilearn.surface.load_surf_mesh.rst", "modules/generated/nilearn.surface.vol_to_surf.rst", "modules/glm.rst", "modules/image.rst", "modules/index.rst", "modules/interfaces.rst", "modules/maskers.rst", "modules/masking.rst", "modules/mass_univariate.rst", "modules/plotting.rst", "modules/regions.rst", "modules/reporting.rst", "modules/signal.rst", "modules/surface.rst", "nistats_migration.rst", "plotting/index.rst", "quickstart.md", "user_guide.rst"], "titles": ["Team", "Basic tutorials", "3D and 4D niimgs: handling and visualizing", "A introduction tutorial to fMRI decoding", "Basic nilearn example: manipulating and looking at data", "Basic numerics and plotting with Python", "Intro to GLM Analysis: a single-session, single-subject fMRI dataset", "Computation times", "Visualization of brain images", "Making a surface plot of a 3D statistical map", "Basic Atlas plotting", "Visualizing global patterns with a carpet plot", "Matplotlib colormaps in Nilearn", "Glass brain plotting in nilearn", "Glass brain plotting in nilearn (all options)", "More plotting tools from nilearn", "Plotting tools in nilearn", "Controlling the contrast of the background when plotting", "Plot Haxby masks", "Visualizing multiscale functional brain parcellations", "Visualizing a probabilistic atlas: the default mode in the MSDL atlas", "Visualizing 4D probabilistic atlas maps", "Loading and plotting of a cortical surface atlas", "Seed-based connectivity on the surface", "Technical point: Illustration of the volume to surface sampling schemes", "NeuroImaging volumes visualization", "Visualizing Megatrawls Network Matrices from Human Connectome Project", "Computation times", "Decoding and predicting from brain images", "Decoding with ANOVA + SVM: face vs house in the Haxby dataset", "Different classifiers in decoding the Haxby dataset", "Decoding with FREM: face vs house object recognition", "ROI-based decoding analysis in Haxby et al. dataset", "Decoding of a dataset after GLM fit for signal extraction", "Setting a parameter by cross-validation", "The haxby dataset: different multi-class strategies", "Searchlight analysis of face vs house recognition", "Cortical surface-based searchlight decoding", "Show stimuli of Haxby et al. dataset", "FREM on Jimura et al \u201cmixed gambles\u201d dataset.", "Encoding models for visual stimuli from Miyawaki et al. 2008", "Reconstruction of visual stimuli from Miyawaki et al. 2008", "Voxel-Based Morphometry on Oasis dataset", "Voxel-Based Morphometry on Oasis dataset with Space-Net prior", "Example of pattern recognition on simulated data", "Computation times", "Functional connectivity", "Comparing connectomes on different reference atlases", "Deriving spatial maps from group fMRI data using ICA and Dictionary Learning", "Clustering methods to learn a brain parcellation from fMRI", "Regions extraction using dictionary learning and functional connectomes", "Classification of age groups using functional connectivity", "Computing a connectome with sparse inverse covariance", "Group Sparse inverse covariance for multi-subject connectome", "Extracting signals of a probabilistic atlas of functional regions", "Producing single subject maps of seed-to-voxel correlation", "Extracting signals from a brain parcellation", "Connectivity structure estimation on simulated data", "Extract signals on spheres and plot a connectome", "Computation times", "GLM: First level analysis", "Default Mode Network extraction of ADHD dataset", "First level analysis of a complete BIDS dataset from openneuro", "Examples of design matrices", "Simple example of two-session fMRI model fitting", "Analysis of an fMRI dataset with a Finite Impule Response (FIR) model", "Understanding parameters of the first-level model", "Example of explicit fixed effects fMRI model fitting", "Example of MRI response functions", "Example of surface-based first-level analysis", "Predicted time series and residuals", "Single-subject data (two sessions) in native space", "Generate an events.tsv file for the NeuroSpin localizer task", "Computation times", "GLM: Second level analysis", "Voxel-Based Morphometry on OASIS dataset", "Second-level fMRI model: true positive proportion in clusters", "Example of generic design in second-level models", "Example of second level design matrix", "Second-level fMRI model: one sample test", "Second-level fMRI model: two-sample test, unpaired and paired", "Statistical testing of a second-level analysis", "Computation times", "Manipulating brain image volumes", "Visualization of affine resamplings", "Comparing the means of 2 images", "Breaking an atlas of labels in separated regions", "Regions Extraction of Default Mode Networks using Smith Atlas", "Region Extraction using a t-statistical map (3D)", "Understanding NiftiMasker and mask computation", "Negating an image with math_img", "Extracting signals from brain regions using the NiftiLabelsMasker", "Simple example of NiftiMasker use", "Resample an image to a template", "Computing a Region of Interest (ROI) mask manually", "Smoothing an image", "Computation times", "Advanced statistical analysis of brain images", "Advanced decoding using scikit learn", "Functional connectivity predicts age group", "Beta-Series Modeling for Task-Based Functional Connectivity and Decoding", "BIDS dataset first and second level analysis", "Massively univariate analysis of face vs house recognition", "NeuroVault cross-study ICA maps.", "Multivariate decompositions: Independent component analysis of fMRI", "Massively univariate analysis of a motor task from the Localizer dataset", "Massively univariate analysis of a calculation task from the Localizer dataset", "NeuroVault meta-analysis of stop-go paradigm studies.", "Surface-based dataset first and second level analysis of a dataset", "Computation times", "Examples", "General bibliography", "Advanced usage: manual pipelines and scaling up", "Building your own neuroimaging machine-learning pipeline", "Downloading statistical maps from the Neurovault repository", "0.1.0", "0.1.1", "0.1.2", "0.1.3", "0.1.4", "0.2.0", "0.2.1", "0.2.2", "0.2.3", "0.2.4", "0.2.5.1", "0.2.6", "0.3.0", "0.3.1", "0.4.0", "0.4.1", "0.4.2", "0.5.0", "0.5.1", "0.5.2", "0.6.0", "0.6.1", "0.6.2", "0.7.0", "0.7.1", "0.8.0", "0.8.1", "0.9.0", "0.9.1", "0.9.2", "<no title>", "What\u2019s new", "Connectome extraction: inverse covariance for direct connections", "Extracting times series to build a functional connectome", "Functional connectivity and resting state", "Clustering to parcellate the brain in regions", "Region Extraction for better brain parcellations", "Extracting functional brain networks: ICA and related", "An introduction to decoding", "Choosing the right predictive model for neuroimaging", "FREM: fast ensembling of regularized models for robust decoding", "Running scikit-learn functions for more control on the analysis", "Decoding and MVPA: predicting from brain images", "Searchlight : finding voxels containing information", "SpaceNet: decoding with spatial structure for better maps", "Group-sparse covariance estimation", "Contributing", "First level models", "An introduction to GLMs in fMRI statistical analysis", "Analyzing fMRI using GLMs", "Second level models", "Glossary", "Nilearn", "Introduction", "Maintenance", "Manipulation brain volumes with nilearn", "Input and output: neuroimaging data representation", "Manipulating images: resampling, smoothing, masking, ROIs\u2026", "From neuroimaging volumes to data matrices: the masker objects", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">nilearn.connectome</span></code>: Functional Connectivity", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">nilearn.datasets</span></code>: Automatic Dataset Fetching", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">nilearn.decoding</span></code>: Decoding", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">nilearn.decomposition</span></code>: Multivariate Decompositions", "nilearn.connectome.ConnectivityMeasure", "nilearn.connectome.GroupSparseCovariance", "nilearn.connectome.GroupSparseCovarianceCV", "nilearn.connectome.cov_to_corr", "nilearn.connectome.group_sparse_covariance", "nilearn.connectome.prec_to_partial", "nilearn.connectome.sym_matrix_to_vec", "nilearn.connectome.vec_to_sym_matrix", "nilearn.datasets.fetch_abide_pcp", "nilearn.datasets.fetch_adhd", "nilearn.datasets.fetch_atlas_aal", "nilearn.datasets.fetch_atlas_allen_2011", "nilearn.datasets.fetch_atlas_basc_multiscale_2015", "nilearn.datasets.fetch_atlas_craddock_2012", "nilearn.datasets.fetch_atlas_destrieux_2009", "nilearn.datasets.fetch_atlas_difumo", "nilearn.datasets.fetch_atlas_harvard_oxford", "nilearn.datasets.fetch_atlas_juelich", "nilearn.datasets.fetch_atlas_msdl", "nilearn.datasets.fetch_atlas_pauli_2017", "nilearn.datasets.fetch_atlas_schaefer_2018", "nilearn.datasets.fetch_atlas_smith_2009", "nilearn.datasets.fetch_atlas_surf_destrieux", "nilearn.datasets.fetch_atlas_talairach", "nilearn.datasets.fetch_atlas_yeo_2011", "nilearn.datasets.fetch_bids_langloc_dataset", "nilearn.datasets.fetch_coords_dosenbach_2010", "nilearn.datasets.fetch_coords_power_2011", "nilearn.datasets.fetch_coords_seitzman_2018", "nilearn.datasets.fetch_development_fmri", "nilearn.datasets.fetch_ds000030_urls", "nilearn.datasets.fetch_fiac_first_level", "nilearn.datasets.fetch_haxby", "nilearn.datasets.fetch_icbm152_2009", "nilearn.datasets.fetch_icbm152_brain_gm_mask", "nilearn.datasets.fetch_language_localizer_demo_dataset", "nilearn.datasets.fetch_localizer_button_task", "nilearn.datasets.fetch_localizer_calculation_task", "nilearn.datasets.fetch_localizer_contrasts", "nilearn.datasets.fetch_localizer_first_level", "nilearn.datasets.fetch_megatrawls_netmats", "nilearn.datasets.fetch_mixed_gambles", "nilearn.datasets.fetch_miyawaki2008", "nilearn.datasets.fetch_neurovault", "nilearn.datasets.fetch_neurovault_auditory_computation_task", "nilearn.datasets.fetch_neurovault_ids", "nilearn.datasets.fetch_neurovault_motor_task", "nilearn.datasets.fetch_oasis_vbm", "nilearn.datasets.fetch_openneuro_dataset", "nilearn.datasets.fetch_openneuro_dataset_index", "nilearn.datasets.fetch_spm_auditory", "nilearn.datasets.fetch_spm_multimodal_fmri", "nilearn.datasets.fetch_surf_fsaverage", "nilearn.datasets.fetch_surf_nki_enhanced", "nilearn.datasets.get_data_dirs", "nilearn.datasets.load_mni152_brain_mask", "nilearn.datasets.load_mni152_gm_mask", "nilearn.datasets.load_mni152_gm_template", "nilearn.datasets.load_mni152_template", "nilearn.datasets.load_mni152_wm_mask", "nilearn.datasets.load_mni152_wm_template", "nilearn.datasets.patch_openneuro_dataset", "nilearn.datasets.select_from_index", "nilearn.decoding.Decoder", "nilearn.decoding.DecoderRegressor", "nilearn.decoding.FREMClassifier", "nilearn.decoding.FREMRegressor", "nilearn.decoding.SearchLight", "nilearn.decoding.SpaceNetClassifier", "nilearn.decoding.SpaceNetRegressor", "nilearn.decomposition.CanICA", "nilearn.decomposition.DictLearning", "nilearn.glm.ARModel", "nilearn.glm.Contrast", "nilearn.glm.FContrastResults", "nilearn.glm.LikelihoodModelResults", "nilearn.glm.OLSModel", "nilearn.glm.RegressionResults", "nilearn.glm.SimpleRegressionResults", "nilearn.glm.TContrastResults", "nilearn.glm.cluster_level_inference", "nilearn.glm.compute_contrast", "nilearn.glm.compute_fixed_effects", "nilearn.glm.expression_to_contrast_vector", "nilearn.glm.fdr_threshold", "nilearn.glm.first_level.FirstLevelModel", "nilearn.glm.first_level.check_design_matrix", "nilearn.glm.first_level.compute_regressor", "nilearn.glm.first_level.first_level_from_bids", "nilearn.glm.first_level.glover_dispersion_derivative", "nilearn.glm.first_level.glover_hrf", "nilearn.glm.first_level.glover_time_derivative", "nilearn.glm.first_level.make_first_level_design_matrix", "nilearn.glm.first_level.mean_scaling", "nilearn.glm.first_level.run_glm", "nilearn.glm.first_level.spm_dispersion_derivative", "nilearn.glm.first_level.spm_hrf", "nilearn.glm.first_level.spm_time_derivative", "nilearn.glm.second_level.SecondLevelModel", "nilearn.glm.second_level.make_second_level_design_matrix", "nilearn.glm.second_level.non_parametric_inference", "nilearn.glm.threshold_stats_img", "nilearn.image.binarize_img", "nilearn.image.clean_img", "nilearn.image.concat_imgs", "nilearn.image.coord_transform", "nilearn.image.copy_img", "nilearn.image.crop_img", "nilearn.image.get_data", "nilearn.image.high_variance_confounds", "nilearn.image.index_img", "nilearn.image.iter_img", "nilearn.image.largest_connected_component_img", "nilearn.image.load_img", "nilearn.image.math_img", "nilearn.image.mean_img", "nilearn.image.new_img_like", "nilearn.image.reorder_img", "nilearn.image.resample_img", "nilearn.image.resample_to_img", "nilearn.image.smooth_img", "nilearn.image.swap_img_hemispheres", "nilearn.image.threshold_img", "nilearn.interfaces.bids.get_bids_files", "nilearn.interfaces.bids.parse_bids_filename", "nilearn.interfaces.bids.save_glm_to_bids", "nilearn.interfaces.fmriprep.load_confounds", "nilearn.interfaces.fmriprep.load_confounds_strategy", "nilearn.interfaces.fsl.get_design_from_fslmat", "nilearn.maskers.BaseMasker", "nilearn.maskers.MultiNiftiMasker", "nilearn.maskers.NiftiLabelsMasker", "nilearn.maskers.NiftiMapsMasker", "nilearn.maskers.NiftiMasker", "nilearn.maskers.NiftiSpheresMasker", "nilearn.masking.apply_mask", "nilearn.masking.compute_background_mask", "nilearn.masking.compute_brain_mask", "nilearn.masking.compute_epi_mask", "nilearn.masking.compute_multi_background_mask", "nilearn.masking.compute_multi_brain_mask", "nilearn.masking.compute_multi_epi_mask", "nilearn.masking.intersect_masks", "nilearn.masking.unmask", "nilearn.mass_univariate.permuted_ols", "nilearn.plotting.displays.BaseAxes", "nilearn.plotting.displays.BaseSlicer", "nilearn.plotting.displays.CutAxes", "nilearn.plotting.displays.GlassBrainAxes", "nilearn.plotting.displays.LProjector", "nilearn.plotting.displays.LRProjector", "nilearn.plotting.displays.LYRProjector", "nilearn.plotting.displays.LYRZProjector", "nilearn.plotting.displays.LZRProjector", "nilearn.plotting.displays.LZRYProjector", "nilearn.plotting.displays.MosaicSlicer", "nilearn.plotting.displays.OrthoProjector", "nilearn.plotting.displays.OrthoSlicer", "nilearn.plotting.displays.PlotlySurfaceFigure", "nilearn.plotting.displays.RProjector", "nilearn.plotting.displays.TiledSlicer", "nilearn.plotting.displays.XProjector", "nilearn.plotting.displays.XSlicer", "nilearn.plotting.displays.XZProjector", "nilearn.plotting.displays.XZSlicer", "nilearn.plotting.displays.YProjector", "nilearn.plotting.displays.YSlicer", "nilearn.plotting.displays.YXProjector", "nilearn.plotting.displays.YXSlicer", "nilearn.plotting.displays.YZProjector", "nilearn.plotting.displays.YZSlicer", "nilearn.plotting.displays.ZProjector", "nilearn.plotting.displays.ZSlicer", "nilearn.plotting.displays.get_projector", "nilearn.plotting.displays.get_slicer", "nilearn.plotting.find_cut_slices", "nilearn.plotting.find_parcellation_cut_coords", "nilearn.plotting.find_probabilistic_atlas_cut_coords", "nilearn.plotting.find_xyz_cut_coords", "nilearn.plotting.plot_anat", "nilearn.plotting.plot_carpet", "nilearn.plotting.plot_connectome", "nilearn.plotting.plot_contrast_matrix", "nilearn.plotting.plot_design_matrix", "nilearn.plotting.plot_epi", "nilearn.plotting.plot_event", "nilearn.plotting.plot_glass_brain", "nilearn.plotting.plot_img", "nilearn.plotting.plot_img_comparison", "nilearn.plotting.plot_img_on_surf", "nilearn.plotting.plot_markers", "nilearn.plotting.plot_matrix", "nilearn.plotting.plot_prob_atlas", "nilearn.plotting.plot_roi", "nilearn.plotting.plot_stat_map", "nilearn.plotting.plot_surf", "nilearn.plotting.plot_surf_contours", "nilearn.plotting.plot_surf_roi", "nilearn.plotting.plot_surf_stat_map", "nilearn.plotting.show", "nilearn.plotting.view_connectome", "nilearn.plotting.view_img", "nilearn.plotting.view_img_on_surf", "nilearn.plotting.view_markers", "nilearn.plotting.view_surf", "nilearn.regions.HierarchicalKMeans", "nilearn.regions.Parcellations", "nilearn.regions.ReNA", "nilearn.regions.RegionExtractor", "nilearn.regions.connected_label_regions", "nilearn.regions.connected_regions", "nilearn.regions.img_to_signals_labels", "nilearn.regions.img_to_signals_maps", "nilearn.regions.signals_to_img_labels", "nilearn.regions.signals_to_img_maps", "nilearn.reporting.HTMLReport", "nilearn.reporting.get_clusters_table", "nilearn.reporting.make_glm_report", "nilearn.signal.butterworth", "nilearn.signal.clean", "nilearn.signal.high_variance_confounds", "nilearn.surface.load_surf_data", "nilearn.surface.load_surf_mesh", "nilearn.surface.vol_to_surf", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">nilearn.glm</span></code>: Generalized Linear Models", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">nilearn.image</span></code>: Image Processing and Resampling Utilities", "API References", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">nilearn.interfaces</span></code>: Loading components from interfaces", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">nilearn.maskers</span></code>: Extracting Signals from Brain Images", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">nilearn.masking</span></code>: Data Masking Utilities", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">nilearn.mass_univariate</span></code>: Mass-Univariate Analysis", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">nilearn.plotting</span></code>: Plotting Brain Data", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">nilearn.regions</span></code>: Operating on Regions", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">nilearn.reporting</span></code>: Reporting Functions", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">nilearn.signal</span></code>: Preprocessing Time Series", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">nilearn.surface</span></code>: Manipulating Surface Data", "Migrating from Nistats", "Plotting brain images", "Quickstart", "User guide"], "terms": {"thi": [0, 2, 3, 4, 5, 6, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 75, 76, 77, 78, 79, 80, 81, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 95, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 112, 113, 114, 125, 126, 127, 128, 129, 130, 132, 133, 134, 135, 136, 137, 138, 139, 141, 142, 143, 144, 146, 147, 148, 150, 151, 152, 153, 154, 155, 156, 158, 159, 160, 161, 162, 163, 165, 166, 168, 169, 170, 171, 172, 173, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400, 401, 404, 412, 415], "work": [0, 2, 3, 20, 30, 31, 32, 34, 39, 48, 55, 61, 64, 84, 89, 92, 98, 127, 128, 135, 138, 142, 143, 146, 147, 152, 153, 154, 156, 160, 161, 162, 163, 169, 171, 172, 178, 179, 180, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 263, 276, 303, 307, 308, 309, 310, 311, 312, 353, 359, 364, 383, 384, 385, 386, 394, 403, 405, 414], "i": [0, 2, 4, 6, 9, 10, 11, 14, 15, 16, 18, 20, 21, 22, 23, 25, 29, 30, 31, 32, 33, 34, 35, 36, 37, 39, 40, 41, 42, 43, 44, 47, 48, 49, 50, 52, 53, 54, 55, 56, 58, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 75, 76, 77, 78, 79, 80, 81, 84, 85, 86, 88, 89, 90, 91, 92, 93, 94, 95, 98, 100, 101, 102, 103, 104, 105, 106, 108, 111, 112, 113, 114, 116, 117, 118, 120, 122, 123, 124, 125, 126, 127, 128, 129, 130, 132, 133, 134, 135, 138, 139, 140, 141, 142, 143, 144, 146, 147, 148, 150, 151, 152, 153, 154, 155, 156, 158, 159, 160, 161, 162, 164, 165, 166, 167, 169, 170, 172, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400, 401, 402, 404, 414, 415, 416, 417], "made": [0, 21, 101, 108, 138, 141, 142, 146, 157, 160, 161, 163, 166, 169, 241, 242, 243, 244, 246, 247, 322, 379, 417], "avail": [0, 3, 15, 23, 24, 31, 39, 42, 62, 75, 80, 89, 94, 101, 106, 108, 114, 135, 140, 146, 148, 151, 154, 156, 160, 162, 165, 169, 186, 190, 193, 207, 216, 218, 220, 225, 246, 247, 369, 374, 401, 416, 417], "commun": [0, 111, 161, 167, 169, 207, 416], "peopl": [0, 6, 129, 132, 133, 134, 135, 136, 137, 146, 160, 161], "which": [0, 3, 6, 9, 12, 14, 15, 21, 22, 23, 25, 29, 30, 32, 33, 34, 36, 37, 40, 42, 44, 47, 49, 51, 58, 61, 62, 66, 68, 69, 70, 75, 76, 79, 84, 89, 91, 94, 98, 100, 108, 113, 114, 119, 120, 125, 126, 129, 130, 131, 132, 133, 135, 138, 139, 140, 141, 142, 143, 144, 146, 147, 148, 151, 152, 153, 154, 156, 158, 159, 160, 161, 162, 163, 166, 167, 168, 169, 171, 172, 173, 185, 192, 194, 195, 197, 198, 201, 202, 207, 221, 222, 223, 224, 228, 229, 230, 232, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 253, 254, 255, 256, 262, 263, 266, 270, 271, 276, 278, 280, 285, 291, 296, 300, 302, 303, 308, 309, 310, 311, 312, 315, 317, 318, 319, 320, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 357, 358, 359, 360, 361, 362, 363, 364, 365, 367, 369, 370, 371, 372, 373, 374, 375, 376, 379, 384, 386, 387, 388, 393, 395, 401, 415, 416], "origin": [0, 6, 36, 40, 41, 49, 50, 66, 70, 84, 89, 93, 100, 126, 139, 141, 142, 146, 150, 158, 160, 169, 173, 199, 207, 211, 216, 225, 308, 309, 310, 311, 312, 358, 373, 375, 376, 383, 385, 386, 397], "from": [0, 4, 6, 8, 9, 10, 12, 14, 17, 18, 19, 20, 21, 22, 23, 25, 27, 29, 30, 31, 32, 34, 35, 36, 37, 38, 42, 43, 44, 45, 46, 47, 51, 52, 53, 54, 55, 57, 59, 60, 61, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 75, 76, 77, 78, 79, 80, 81, 83, 84, 85, 86, 87, 88, 90, 92, 93, 95, 96, 97, 99, 101, 102, 103, 104, 107, 108, 109, 111, 112, 115, 116, 118, 119, 120, 122, 125, 128, 129, 132, 133, 135, 140, 141, 142, 144, 146, 147, 149, 150, 151, 152, 153, 154, 156, 158, 159, 160, 161, 162, 163, 166, 167, 168, 169, 170, 175, 178, 179, 180, 182, 187, 188, 190, 192, 193, 194, 195, 197, 198, 199, 201, 202, 204, 206, 207, 208, 210, 211, 212, 214, 215, 216, 218, 220, 221, 222, 223, 224, 225, 226, 231, 233, 234, 235, 236, 237, 238, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 252, 253, 254, 255, 256, 257, 260, 262, 263, 266, 270, 276, 277, 278, 280, 281, 283, 286, 287, 288, 289, 290, 291, 292, 293, 294, 296, 300, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 316, 322, 324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 357, 358, 360, 362, 363, 364, 366, 367, 369, 370, 371, 372, 373, 374, 376, 377, 378, 379, 380, 382, 383, 384, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 397, 398, 401, 407, 409, 415, 416, 417], "inria": [0, 42, 75, 102, 105, 106, 111, 159, 196, 386], "mind": [0, 51, 153, 154, 161, 166, 168], "project": [0, 8, 9, 15, 23, 24, 27, 42, 58, 75, 108, 110, 111, 125, 127, 129, 137, 141, 142, 146, 160, 162, 167, 186, 191, 218, 225, 231, 248, 249, 281, 326, 327, 328, 329, 330, 331, 332, 334, 337, 339, 341, 343, 345, 347, 349, 359, 364, 367, 369, 373, 374, 375, 376, 377, 378, 381, 397, 401, 415], "grew": 0, "much": [0, 3, 24, 40, 42, 51, 77, 79, 99, 100, 132, 146, 153, 160, 161, 163, 168, 204, 285, 296, 401], "further": [0, 14, 15, 55, 66, 70, 84, 94, 112, 147, 155, 157, 160, 169, 171, 175, 221, 263, 276, 304, 336, 406, 407, 415, 417], "an": [0, 2, 3, 4, 11, 14, 15, 16, 20, 21, 22, 23, 25, 29, 30, 31, 33, 34, 36, 37, 38, 39, 40, 42, 43, 47, 48, 49, 50, 51, 52, 54, 55, 56, 60, 62, 63, 66, 68, 69, 70, 71, 73, 75, 79, 80, 83, 84, 88, 89, 91, 92, 94, 96, 100, 101, 103, 108, 110, 111, 113, 114, 120, 123, 124, 125, 127, 128, 129, 130, 132, 135, 137, 138, 139, 140, 142, 144, 146, 147, 148, 149, 151, 154, 155, 156, 157, 158, 159, 160, 162, 164, 165, 166, 168, 169, 171, 172, 173, 180, 184, 188, 192, 196, 202, 207, 216, 217, 219, 221, 223, 224, 225, 226, 236, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 252, 253, 254, 255, 256, 259, 263, 270, 272, 276, 277, 278, 279, 280, 281, 282, 284, 285, 286, 287, 290, 291, 292, 293, 295, 296, 297, 298, 303, 304, 305, 307, 308, 310, 311, 312, 314, 315, 316, 318, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 386, 387, 388, 389, 393, 397, 398, 399, 401, 403, 417], "up": [0, 3, 6, 33, 36, 84, 86, 89, 94, 98, 103, 111, 132, 133, 135, 140, 142, 146, 150, 156, 157, 159, 160, 162, 163, 164, 166, 173, 226, 250, 253, 277, 322, 358, 383, 401, 417], "date": [0, 141, 146, 189, 192, 211, 221, 223], "list": [0, 2, 3, 6, 9, 14, 15, 16, 30, 33, 44, 47, 48, 49, 51, 53, 55, 61, 62, 64, 67, 71, 72, 75, 76, 79, 80, 85, 94, 99, 100, 101, 103, 108, 113, 114, 120, 123, 125, 126, 127, 131, 132, 135, 141, 142, 144, 146, 147, 153, 161, 168, 169, 171, 172, 173, 178, 179, 180, 182, 184, 185, 186, 188, 189, 192, 194, 195, 196, 197, 198, 200, 201, 203, 204, 207, 208, 210, 213, 214, 215, 216, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 232, 239, 240, 241, 242, 243, 244, 246, 247, 248, 249, 258, 260, 261, 263, 265, 266, 270, 276, 277, 278, 279, 281, 282, 290, 291, 293, 296, 298, 301, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 316, 317, 318, 319, 320, 321, 324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 354, 360, 363, 366, 367, 369, 370, 373, 374, 375, 376, 381, 382, 384, 386, 387, 388, 389, 390, 395, 397, 399, 400, 401, 416], "can": [0, 2, 3, 4, 6, 9, 11, 12, 14, 15, 20, 21, 22, 23, 24, 25, 29, 30, 32, 33, 34, 39, 40, 42, 43, 44, 47, 48, 49, 50, 51, 52, 54, 55, 56, 57, 58, 61, 62, 64, 65, 66, 68, 70, 71, 72, 75, 76, 77, 78, 79, 80, 81, 84, 86, 88, 89, 91, 92, 93, 94, 98, 99, 100, 101, 102, 103, 104, 105, 106, 108, 111, 112, 113, 114, 120, 123, 125, 127, 132, 133, 135, 138, 139, 140, 141, 142, 144, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 165, 166, 168, 169, 171, 172, 173, 179, 180, 182, 185, 186, 189, 192, 193, 194, 195, 196, 197, 198, 202, 216, 218, 221, 225, 241, 242, 243, 244, 245, 246, 247, 253, 255, 256, 263, 265, 270, 276, 278, 281, 282, 283, 288, 291, 292, 293, 296, 297, 300, 301, 304, 305, 308, 311, 314, 315, 316, 317, 318, 319, 321, 322, 324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 357, 358, 359, 360, 362, 363, 364, 365, 366, 369, 370, 371, 372, 373, 374, 375, 376, 378, 379, 380, 381, 382, 384, 386, 387, 388, 393, 394, 395, 396, 397, 401, 415, 416], "seen": [0, 3, 14, 41, 49, 113, 148, 150, 154, 156, 158, 163, 168, 169, 384, 415], "github": [0, 23, 33, 36, 49, 52, 53, 58, 62, 75, 77, 103, 140, 144, 146, 161, 168, 169, 186, 198, 211, 248, 249, 305, 364, 380, 384, 415, 416], "addit": [0, 14, 15, 55, 62, 63, 66, 69, 70, 86, 89, 101, 113, 114, 116, 127, 132, 138, 146, 153, 156, 160, 162, 166, 168, 169, 188, 210, 220, 248, 249, 251, 263, 270, 276, 278, 301, 304, 305, 308, 311, 383, 384, 385, 393, 415], "credit": 0, "goe": [0, 14, 40, 86, 94, 100, 160, 179, 182], "michael": [0, 111, 115, 119, 120, 132, 146, 159, 189, 197, 231, 305], "hank": [0, 119, 120, 146], "yaroslav": [0, 129, 132, 146], "halchenko": [0, 129, 132, 146], "data": [0, 1, 2, 7, 18, 20, 21, 24, 26, 28, 31, 34, 36, 43, 45, 46, 50, 51, 53, 58, 59, 60, 63, 65, 68, 70, 73, 76, 77, 78, 79, 80, 81, 84, 86, 87, 88, 90, 91, 92, 95, 99, 101, 102, 104, 105, 106, 108, 110, 111, 112, 114, 122, 125, 126, 127, 128, 129, 130, 132, 133, 135, 138, 139, 140, 142, 143, 144, 146, 148, 149, 151, 154, 155, 157, 159, 160, 161, 162, 164, 165, 166, 167, 168, 170, 179, 180, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 253, 254, 263, 270, 271, 272, 276, 278, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 304, 305, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 353, 357, 358, 364, 365, 366, 367, 369, 370, 371, 372, 373, 374, 375, 376, 377, 379, 380, 382, 383, 384, 385, 386, 388, 389, 390, 391, 392, 395, 397, 399, 401, 402, 403, 405, 415, 417], "packag": [0, 3, 16, 20, 21, 23, 29, 31, 39, 43, 48, 50, 54, 58, 92, 94, 102, 103, 104, 105, 106, 118, 119, 132, 135, 140, 142, 146, 161, 163, 168, 169, 171, 194, 195, 415], "The": [0, 2, 3, 11, 14, 15, 17, 18, 19, 20, 21, 22, 23, 28, 29, 30, 32, 33, 34, 36, 40, 41, 42, 43, 45, 47, 48, 49, 51, 52, 54, 55, 58, 61, 62, 63, 64, 65, 67, 68, 69, 70, 71, 72, 75, 76, 77, 79, 80, 81, 84, 85, 88, 89, 90, 91, 92, 93, 94, 95, 98, 99, 100, 101, 102, 104, 106, 108, 110, 111, 113, 114, 116, 117, 118, 120, 122, 123, 124, 125, 126, 128, 129, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 146, 147, 148, 150, 151, 152, 154, 155, 156, 157, 158, 160, 161, 162, 163, 165, 166, 168, 169, 170, 171, 172, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 197, 198, 199, 201, 202, 207, 208, 210, 211, 212, 214, 215, 216, 218, 219, 221, 222, 223, 224, 225, 226, 227, 230, 231, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 260, 261, 262, 263, 265, 266, 270, 271, 272, 276, 277, 278, 279, 280, 281, 282, 283, 287, 291, 292, 293, 294, 295, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 383, 384, 385, 386, 387, 388, 389, 391, 393, 394, 395, 397, 398, 401, 405, 406, 410, 415, 416, 417], "ar": [0, 2, 3, 4, 6, 9, 10, 14, 19, 20, 21, 23, 24, 26, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 58, 60, 61, 62, 63, 64, 65, 67, 68, 69, 70, 71, 72, 74, 77, 78, 79, 80, 81, 84, 86, 87, 89, 91, 92, 93, 94, 95, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 110, 111, 113, 114, 118, 125, 127, 128, 130, 132, 133, 135, 138, 139, 140, 141, 142, 143, 144, 146, 147, 148, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 165, 166, 168, 169, 171, 172, 173, 178, 179, 180, 182, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 223, 225, 226, 227, 228, 229, 230, 231, 232, 239, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 253, 254, 255, 256, 259, 263, 265, 266, 270, 272, 276, 278, 280, 281, 285, 287, 293, 295, 296, 297, 298, 301, 302, 303, 304, 305, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 352, 353, 354, 357, 358, 359, 360, 361, 362, 363, 364, 365, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 389, 391, 392, 393, 394, 395, 397, 399, 400, 401, 409, 414, 415, 416], "alexandr": [0, 49, 111, 115, 116, 118, 119, 120, 122, 125, 132, 134, 135, 146, 159, 179, 196, 386], "gramfort": [0, 49, 111, 115, 118, 134, 135, 146, 159, 179, 196], "alexi": [0, 77, 111, 132, 135, 140, 142, 144, 146, 231], "thual": [0, 140, 142, 144, 146], "bertrand": [0, 49, 75, 77, 111, 115, 118, 120, 125, 129, 132, 133, 135, 142, 143, 146, 155, 159, 178, 179, 193, 196, 216, 243, 244, 249, 385, 386], "thirion": [0, 49, 72, 75, 77, 111, 115, 118, 120, 125, 129, 132, 133, 135, 142, 143, 146, 150, 155, 159, 178, 179, 193, 196, 216, 243, 244, 249, 385, 386], "binh": [0, 135, 138, 140, 146], "nguyen": [0, 135, 138, 140, 146], "elizabeth": [0, 111, 129, 133, 135, 136, 137, 146, 255, 256], "dupr": [0, 129, 133, 135, 136, 137, 146], "gael": [0, 42, 49, 75, 103, 111, 115, 116, 118, 119, 120, 122, 125, 129, 132, 133, 134, 135, 137, 146, 178, 179, 196, 221, 223, 249, 385, 386], "varoquaux": [0, 42, 48, 49, 56, 75, 103, 111, 114, 115, 116, 118, 119, 120, 122, 125, 129, 132, 133, 134, 135, 137, 146, 147, 148, 152, 153, 155, 159, 168, 178, 179, 193, 196, 221, 223, 243, 244, 248, 249, 385, 386], "hao": [0, 139, 140, 142, 144, 146], "ting": [0, 139, 140, 142, 144, 146], "wang": [0, 111, 139, 140, 142, 144, 146, 225], "jerom": [0, 77, 125, 129, 131, 132, 133, 135, 136, 144, 146], "dock": [0, 125, 129, 131, 132, 133, 135, 136, 144, 146], "julia": [0, 120, 135, 146], "huntenburg": [0, 120, 135, 146], "nicola": [0, 111, 139, 140, 141, 142, 143, 144, 146, 199, 218], "gensollen": [0, 139, 140, 141, 142, 143, 144, 146], "taylor": [0, 111, 139, 142, 143, 144, 146, 159], "salo": [0, 139, 142, 143, 144, 146], "thoma": [0, 111, 114, 135, 138, 141, 142, 146, 154, 189, 198, 202, 218, 221, 223, 278, 304, 305, 322, 398], "bazeil": [0, 135, 138, 141, 142, 146], "respons": [0, 6, 60, 70, 71, 73, 79, 80, 110, 142, 146, 153, 162, 163, 166, 168, 169, 217, 263, 265, 267, 268, 269, 270, 273, 275, 360, 361, 372], "help": [0, 15, 33, 58, 67, 94, 128, 132, 133, 146, 148, 154, 162, 173, 182, 416, 417], "review": [0, 135, 146, 158, 169], "priorit": 0, "issu": [0, 43, 47, 48, 68, 92, 127, 128, 129, 130, 131, 139, 141, 142, 144, 160, 161, 163, 165, 166, 285, 290], "relat": [0, 39, 46, 49, 50, 63, 64, 65, 66, 67, 68, 69, 71, 81, 100, 106, 110, 111, 114, 126, 127, 146, 148, 149, 151, 153, 154, 157, 160, 161, 166, 167, 168, 169, 173, 178, 207, 212, 233, 234, 237, 248, 249, 251, 263, 287, 301, 304, 305, 307, 308, 309, 310, 311, 312, 384, 386, 398, 416, 417], "describ": [0, 6, 18, 37, 63, 64, 66, 69, 72, 112, 113, 114, 154, 160, 161, 163, 169, 173, 179, 216, 217, 258, 261, 264, 270, 278, 305, 322, 361], "mainten": [0, 142, 146], "we": [0, 2, 3, 4, 6, 9, 11, 14, 18, 19, 20, 22, 23, 24, 25, 29, 30, 31, 33, 34, 36, 37, 38, 39, 40, 42, 43, 44, 47, 48, 49, 50, 51, 52, 54, 55, 56, 58, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 75, 76, 77, 78, 79, 80, 81, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 112, 113, 114, 125, 133, 134, 135, 140, 142, 146, 147, 148, 150, 151, 152, 153, 154, 155, 156, 158, 160, 162, 163, 166, 167, 168, 169, 170, 171, 172, 173, 185, 194, 195, 212, 221, 223, 246, 247, 248, 253, 255, 256, 276, 280, 288, 292, 300, 301, 302, 314, 316, 317, 319, 326, 361, 386, 388, 415, 416], "activ": [0, 6, 14, 15, 30, 32, 40, 41, 49, 64, 66, 69, 70, 71, 76, 77, 79, 80, 81, 100, 108, 111, 113, 147, 148, 151, 152, 153, 157, 158, 160, 161, 162, 163, 165, 166, 168, 169, 173, 180, 188, 196, 199, 218, 219, 220, 258, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 353, 356, 386, 388], "look": [0, 1, 6, 7, 29, 32, 40, 44, 56, 65, 66, 69, 70, 72, 104, 110, 114, 132, 133, 143, 146, 153, 161, 162, 163, 168, 169, 173, 221, 223, 232, 298, 365, 377], "more": [0, 2, 3, 4, 6, 8, 9, 13, 14, 16, 19, 21, 22, 23, 26, 27, 28, 29, 31, 33, 39, 40, 42, 43, 46, 48, 49, 50, 52, 54, 55, 56, 58, 60, 61, 62, 64, 66, 69, 70, 71, 74, 75, 77, 79, 80, 83, 86, 89, 91, 94, 98, 100, 101, 102, 103, 105, 107, 108, 110, 112, 113, 114, 116, 121, 125, 127, 129, 131, 132, 135, 137, 141, 142, 143, 146, 147, 148, 150, 151, 152, 153, 154, 155, 157, 158, 159, 160, 161, 162, 166, 168, 169, 171, 172, 173, 179, 186, 188, 189, 190, 191, 196, 198, 199, 201, 202, 207, 210, 211, 212, 216, 218, 221, 223, 224, 225, 230, 233, 234, 236, 237, 240, 241, 242, 243, 244, 246, 247, 248, 249, 251, 253, 255, 256, 263, 276, 278, 282, 293, 301, 305, 308, 311, 322, 333, 335, 338, 340, 342, 344, 346, 348, 350, 357, 370, 371, 372, 377, 379, 380, 383, 384, 385, 386, 388, 394, 401, 404, 415, 416, 417], "join": [0, 6, 62, 64, 86, 103, 108, 401, 416], "you": [0, 2, 4, 6, 9, 14, 15, 22, 23, 24, 32, 35, 36, 39, 40, 41, 42, 43, 44, 47, 48, 49, 51, 52, 53, 54, 55, 56, 58, 61, 66, 70, 75, 79, 86, 89, 91, 92, 94, 98, 99, 100, 102, 103, 104, 105, 106, 110, 111, 113, 114, 127, 128, 132, 135, 146, 147, 148, 150, 151, 152, 153, 154, 155, 156, 158, 159, 161, 165, 166, 168, 169, 171, 172, 173, 185, 186, 187, 188, 189, 190, 191, 192, 194, 195, 196, 197, 198, 199, 200, 202, 207, 210, 211, 212, 214, 215, 216, 219, 220, 221, 225, 226, 231, 263, 265, 270, 324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 357, 359, 362, 364, 365, 368, 370, 371, 372, 373, 375, 376, 379, 380, 382, 401, 415, 416], "indic": [0, 9, 23, 30, 32, 41, 50, 54, 66, 72, 79, 86, 124, 127, 132, 146, 151, 158, 166, 168, 169, 171, 186, 188, 189, 192, 194, 195, 197, 198, 201, 202, 210, 221, 228, 229, 241, 242, 243, 244, 246, 247, 248, 249, 263, 282, 294, 296, 297, 299, 307, 308, 309, 310, 311, 312, 322, 324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 357, 362, 365, 370, 371, 372, 373, 374, 375, 376, 379, 382, 386, 388, 394], "your": [0, 2, 3, 4, 5, 6, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 75, 76, 77, 78, 79, 80, 81, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 98, 99, 101, 102, 103, 104, 105, 106, 107, 108, 112, 114, 148, 152, 153, 154, 156, 158, 171, 173, 194, 195, 207, 212, 241, 242, 243, 244, 248, 249, 254, 308, 311, 384, 414, 415, 417], "interest": [0, 3, 6, 14, 15, 16, 35, 42, 49, 51, 55, 68, 70, 71, 83, 96, 98, 99, 100, 101, 104, 107, 110, 114, 120, 138, 146, 147, 153, 155, 156, 158, 160, 161, 162, 163, 166, 172, 173, 187, 193, 196, 198, 207, 210, 211, 214, 215, 216, 219, 220, 225, 228, 229, 230, 231, 253, 255, 256, 286, 291, 293, 294, 298, 301, 307, 309, 362, 371, 372, 374, 377, 386], "contact": [0, 161], "one": [0, 3, 4, 6, 9, 14, 15, 16, 20, 24, 29, 30, 31, 33, 35, 36, 40, 44, 47, 48, 49, 55, 56, 57, 58, 64, 66, 69, 70, 71, 72, 74, 77, 78, 80, 81, 82, 86, 91, 92, 94, 100, 101, 103, 108, 110, 113, 114, 124, 126, 129, 138, 140, 141, 142, 146, 147, 148, 151, 152, 153, 154, 158, 160, 161, 162, 163, 165, 166, 168, 169, 170, 171, 173, 178, 180, 186, 197, 198, 206, 212, 216, 219, 230, 241, 242, 243, 244, 246, 248, 249, 251, 263, 265, 266, 270, 272, 276, 277, 278, 281, 282, 283, 285, 286, 288, 292, 296, 301, 303, 308, 309, 311, 321, 322, 324, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 352, 359, 360, 364, 367, 368, 369, 370, 374, 375, 377, 379, 380, 384, 388, 389, 394, 397, 401, 416, 417], "some": [0, 3, 6, 14, 15, 30, 40, 41, 43, 47, 48, 49, 56, 66, 68, 69, 71, 80, 84, 86, 92, 98, 103, 104, 113, 114, 125, 132, 138, 141, 142, 144, 146, 153, 154, 156, 158, 160, 161, 163, 165, 168, 169, 171, 172, 173, 180, 186, 192, 194, 195, 197, 198, 201, 221, 241, 242, 243, 244, 247, 253, 263, 276, 279, 281, 303, 364, 365, 368, 371, 372, 379, 389, 394, 397, 415, 416], "past": [0, 56, 113, 148, 168, 305], "present": [0, 3, 6, 40, 41, 54, 56, 65, 69, 70, 101, 108, 113, 128, 146, 151, 152, 153, 160, 162, 163, 164, 169, 171, 173, 182, 192, 210, 241, 242, 243, 244, 248, 249, 291, 304, 305, 308, 310, 311, 383, 384, 385], "abadi": [0, 120, 122, 125, 132, 146], "abraham": [0, 111, 115, 116, 118, 119, 120, 122, 125, 135, 146, 151, 304, 305, 386], "andr\u00e9": [0, 111, 135, 146, 155, 192, 243, 244], "hoyo": [0, 42, 49, 111, 135, 146, 155, 243, 244, 385], "idrobo": [0, 42, 49, 111, 135, 146, 155, 243, 244, 385], "ben": [0, 56, 103, 107, 111, 115, 116, 118, 120, 122, 146, 305], "cipollini": [0, 103, 107, 115, 116, 118, 120, 122, 146], "chri": [0, 103, 115, 120, 135, 146], "gorgolewski": [0, 103, 111, 114, 115, 120, 146, 193, 208, 221, 223, 226], "danilo": [0, 115, 116, 118, 119, 120, 122, 146], "bzdok": [0, 115, 116, 118, 119, 120, 122, 146], "elvi": [0, 42, 49, 75, 111, 115, 118, 120, 122, 125, 146, 159, 386], "dohmatob": [0, 42, 49, 75, 111, 115, 118, 120, 122, 125, 146, 159, 386], "fabian": [0, 111, 115, 146, 196], "pedregosa": [0, 111, 115, 146, 196], "jean": [0, 49, 111, 115, 129, 132, 146, 160, 179, 182, 216, 221, 223], "kossaifi": [0, 115, 146], "chevali": [0, 77, 132, 135, 146], "kamalakar": [0, 118, 120, 122, 125, 129, 130, 132, 135, 139, 146], "reddi": [0, 118, 120, 122, 125, 129, 130, 131, 132, 135, 139, 146], "daddi": [0, 118, 120, 122, 125, 129, 130, 132, 135, 139, 146], "kshitij": [0, 132, 133, 134, 135, 136, 137, 138, 146], "chawla": [0, 132, 133, 134, 135, 136, 137, 138, 146], "loic": [0, 115, 116, 118, 119, 120, 122, 125, 135, 146], "est\u00e8v": [0, 115, 116, 118, 119, 120, 122, 125, 146], "martin": [0, 111, 120, 125, 139, 146, 189, 211, 230, 281, 397], "perez": [0, 120, 125, 146], "guevara": [0, 120, 125, 146], "eickenberg": [0, 111, 115, 146, 159], "philipp": [0, 111, 115, 146, 216], "gervai": [0, 115, 146], "pierr": [0, 111, 129, 131, 132, 133, 146, 178, 190], "bellec": [0, 111, 132, 133, 146, 190], "salma": [0, 115, 118, 120, 122, 129, 132, 133, 146], "bougacha": [0, 115, 118, 120, 122, 129, 132, 133, 146], "vincent": [0, 49, 111, 115, 146, 159, 189, 196, 216, 231, 305], "michel": [0, 44, 49, 111, 115, 146, 159, 196, 216, 231], "virgil": [0, 42, 75, 77, 102, 105, 106, 115, 146], "fritsch": [0, 42, 75, 77, 102, 105, 106, 115, 146], "mehdi": [0, 115, 119, 120, 129, 135, 146], "rahim": [0, 115, 119, 120, 129, 135, 146], "were": [0, 6, 10, 15, 18, 21, 23, 40, 48, 49, 50, 62, 64, 66, 67, 79, 87, 88, 91, 94, 98, 101, 107, 108, 113, 118, 135, 138, 142, 143, 144, 146, 153, 160, 161, 163, 221, 223, 281, 309, 312, 397], "paid": 0, "niconnect": 0, "french": 0, "investiss": 0, "d": [0, 26, 34, 37, 41, 42, 48, 50, 51, 56, 57, 58, 64, 67, 71, 77, 100, 102, 105, 106, 111, 114, 151, 160, 161, 188, 199, 204, 205, 208, 211, 221, 223, 226, 236, 251, 258, 281, 304, 305, 358, 369, 397, 403], "avenir": 0, "wa": [0, 3, 40, 64, 67, 69, 91, 102, 105, 106, 113, 114, 132, 139, 140, 141, 142, 143, 146, 153, 155, 158, 160, 163, 197, 198, 246, 247, 248, 249, 270, 276, 278, 358, 389], "human": [0, 8, 22, 23, 27, 31, 32, 39, 40, 41, 43, 58, 68, 110, 111, 114, 158, 161, 166, 186, 191, 192, 197, 198, 200, 201, 202, 205, 218, 220, 221, 223, 230, 281, 305, 369, 377, 397], "brain": [0, 2, 3, 4, 6, 9, 12, 15, 20, 21, 22, 23, 27, 31, 32, 36, 39, 41, 43, 44, 46, 52, 54, 55, 59, 64, 66, 67, 69, 70, 76, 78, 79, 80, 85, 89, 92, 94, 96, 98, 100, 104, 107, 111, 113, 114, 120, 123, 125, 126, 127, 129, 130, 132, 133, 135, 138, 140, 141, 146, 147, 149, 153, 154, 155, 156, 158, 159, 161, 162, 163, 166, 167, 168, 171, 173, 178, 179, 186, 188, 190, 191, 193, 194, 196, 197, 199, 201, 204, 205, 206, 207, 211, 212, 218, 220, 221, 223, 224, 225, 230, 232, 233, 236, 241, 242, 243, 244, 245, 246, 247, 248, 249, 258, 281, 283, 286, 288, 293, 304, 305, 307, 308, 309, 310, 311, 312, 314, 315, 316, 317, 318, 319, 322, 324, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 353, 354, 355, 356, 359, 362, 364, 367, 368, 369, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 384, 386, 387, 388, 393, 397, 407, 416, 417], "also": [0, 3, 4, 11, 14, 15, 17, 22, 23, 29, 31, 34, 39, 40, 41, 42, 43, 49, 50, 51, 55, 56, 62, 63, 66, 68, 70, 71, 72, 75, 77, 79, 86, 89, 91, 93, 94, 95, 98, 108, 113, 114, 118, 120, 125, 126, 128, 132, 135, 138, 141, 142, 144, 146, 147, 148, 151, 152, 154, 155, 156, 158, 160, 161, 162, 163, 165, 166, 168, 169, 171, 172, 173, 174, 180, 194, 195, 196, 221, 223, 226, 241, 242, 243, 244, 246, 247, 263, 265, 270, 276, 288, 292, 296, 301, 302, 304, 313, 314, 315, 316, 317, 318, 319, 357, 358, 362, 363, 365, 370, 371, 372, 373, 384, 387, 388, 391, 392, 415], "support": [0, 9, 15, 29, 32, 33, 34, 35, 44, 98, 113, 118, 127, 128, 129, 132, 133, 134, 135, 139, 140, 142, 143, 144, 146, 153, 154, 156, 158, 163, 166, 167, 168, 241, 242, 243, 244, 251, 304, 309, 373, 375, 376, 391, 401, 416], "digicosm": 0, "dataia": 0, "There": [0, 4, 21, 66, 150, 153, 154, 155, 161, 166, 168, 196, 253, 255, 256, 277, 304, 392, 415], "paper": [0, 48, 49, 113, 114, 150, 160, 161, 163, 221], "publish": [0, 221, 287, 398], "yet": [0, 65, 80, 104, 111, 142, 146, 153, 161, 370], "about": [0, 2, 3, 6, 14, 19, 24, 49, 62, 76, 78, 79, 94, 100, 101, 108, 113, 114, 120, 135, 143, 146, 150, 153, 154, 156, 158, 160, 161, 162, 163, 166, 167, 168, 171, 190, 199, 201, 210, 211, 212, 225, 233, 234, 235, 236, 237, 238, 305, 401], "wait": [0, 114, 160], "matur": [0, 58, 111, 204], "bit": [0, 10, 11, 36, 41, 49, 65, 66, 75, 79, 86, 94, 102, 120, 133, 144, 146, 147, 159, 168, 171, 172, 212], "howev": [0, 48, 49, 66, 67, 70, 86, 94, 100, 147, 153, 156, 160, 163, 168, 173, 188, 296, 305], "pattern": [0, 8, 27, 28, 45, 49, 51, 100, 110, 111, 114, 130, 138, 146, 147, 152, 153, 156, 159, 160, 166, 168, 171, 180, 182, 187, 190, 200, 211, 218, 219, 221, 239, 245, 282, 294, 316, 321, 358, 377, 385], "underli": [0, 89, 163, 166, 168, 173, 336], "have": [0, 2, 3, 6, 9, 11, 15, 16, 18, 24, 29, 31, 32, 33, 39, 41, 42, 43, 44, 49, 52, 54, 55, 56, 57, 61, 62, 64, 65, 66, 67, 71, 75, 85, 86, 93, 94, 98, 100, 101, 103, 108, 110, 113, 114, 120, 122, 124, 125, 126, 129, 130, 131, 132, 135, 138, 139, 140, 142, 143, 146, 147, 150, 151, 152, 153, 154, 156, 159, 160, 161, 162, 163, 165, 166, 168, 169, 171, 172, 173, 178, 179, 180, 182, 185, 190, 197, 198, 202, 206, 207, 221, 225, 241, 242, 243, 244, 245, 246, 247, 248, 249, 255, 256, 263, 270, 271, 276, 277, 278, 280, 281, 283, 292, 296, 297, 298, 300, 301, 307, 308, 309, 310, 311, 312, 314, 315, 316, 318, 319, 321, 322, 358, 363, 373, 375, 376, 380, 383, 384, 385, 386, 391, 392, 394, 395, 397, 415, 416], "been": [0, 6, 10, 11, 32, 36, 39, 42, 47, 49, 52, 54, 55, 61, 66, 71, 72, 75, 79, 81, 85, 86, 89, 91, 93, 94, 104, 108, 120, 122, 125, 126, 132, 134, 135, 137, 138, 140, 141, 142, 143, 144, 146, 152, 159, 160, 161, 162, 165, 166, 169, 173, 179, 190, 221, 225, 263, 276, 278, 287, 314, 315, 316, 318, 319, 322, 390, 398, 401], "machin": [0, 29, 34, 44, 49, 94, 112, 139, 146, 154, 155, 156, 161, 166, 167, 219, 416, 417], "neuroimag": [0, 2, 8, 22, 23, 27, 37, 48, 56, 62, 76, 94, 100, 101, 102, 110, 111, 112, 114, 132, 146, 147, 148, 152, 153, 155, 157, 158, 159, 161, 166, 167, 170, 175, 188, 190, 192, 193, 196, 200, 206, 210, 211, 216, 221, 223, 236, 241, 242, 243, 244, 245, 246, 247, 248, 249, 258, 263, 276, 278, 281, 282, 285, 286, 287, 288, 289, 290, 291, 293, 295, 296, 297, 298, 299, 301, 304, 305, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 353, 357, 358, 362, 364, 365, 367, 370, 371, 372, 377, 379, 380, 384, 386, 389, 390, 391, 392, 395, 398, 401, 405, 415, 417], "suggest": [0, 6, 86, 142, 146, 150, 171, 281, 314, 316, 317, 319, 397], "read": [0, 44, 66, 69, 77, 81, 101, 103, 105, 107, 111, 114, 138, 146, 159, 161, 167, 168, 214, 215, 216, 313], "thank": [0, 132, 146, 161, 276, 277], "A": [0, 1, 5, 6, 7, 11, 15, 16, 21, 23, 40, 41, 42, 43, 47, 48, 49, 53, 56, 61, 64, 67, 69, 71, 75, 76, 79, 80, 84, 86, 89, 92, 98, 100, 102, 105, 106, 110, 111, 114, 127, 128, 132, 135, 141, 146, 147, 149, 150, 152, 154, 156, 157, 158, 160, 161, 162, 164, 166, 169, 171, 172, 173, 178, 180, 189, 191, 192, 197, 199, 201, 204, 205, 206, 208, 210, 218, 219, 221, 222, 223, 224, 226, 239, 241, 242, 243, 244, 245, 246, 247, 248, 250, 254, 255, 256, 259, 262, 263, 266, 272, 276, 281, 282, 288, 293, 294, 301, 303, 304, 305, 306, 314, 315, 316, 317, 318, 319, 322, 333, 334, 335, 338, 354, 355, 358, 362, 367, 371, 374, 379, 384, 386, 387, 388, 392, 393, 395, 396, 397, 398, 414, 415, 417], "huge": [0, 66, 68, 132, 146], "amount": [0, 24, 34, 36, 50, 66, 95, 154, 156, 161, 167, 169, 221, 241, 242, 243, 244, 246, 247, 248, 249, 263, 276, 282, 293, 308, 311, 384, 385, 386], "upon": [0, 222, 263, 276, 357, 370, 371, 372, 379, 386, 388, 395], "reli": [0, 6, 30, 66, 92, 94, 125, 141, 146, 150, 160, 163, 166, 171, 212, 401, 415], "heavili": 0, "research": [0, 166, 171, 173, 207, 305], "who": [0, 114, 173, 305], "invest": 0, "time": [0, 2, 3, 4, 5, 6, 9, 10, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 24, 26, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 46, 47, 48, 49, 50, 51, 53, 56, 57, 60, 61, 62, 63, 64, 65, 67, 68, 69, 71, 72, 75, 76, 77, 78, 79, 80, 81, 84, 85, 86, 87, 88, 90, 91, 92, 93, 94, 95, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 110, 111, 113, 114, 122, 131, 132, 138, 139, 140, 142, 144, 146, 147, 149, 150, 151, 152, 153, 156, 158, 161, 163, 164, 166, 167, 168, 169, 170, 171, 172, 178, 180, 182, 207, 228, 230, 231, 241, 242, 243, 244, 246, 247, 248, 249, 263, 264, 265, 267, 268, 269, 270, 273, 274, 275, 276, 278, 281, 282, 293, 296, 298, 304, 305, 307, 308, 309, 310, 311, 312, 313, 316, 322, 350, 358, 370, 372, 379, 380, 384, 386, 388, 393, 394, 396, 397, 398, 401, 406, 415, 417], "maintain": [0, 135, 141, 146, 161, 169], "deserv": [0, 173], "recognit": [0, 3, 28, 30, 45, 49, 71, 97, 109, 110, 111, 156, 158, 159, 167, 168, 190, 210, 243, 245, 286, 288, 291, 293, 294, 307, 311, 321, 322, 350, 365, 372, 377], "citat": 0, "In": [0, 4, 6, 9, 14, 15, 16, 22, 24, 32, 33, 36, 38, 39, 40, 42, 47, 49, 50, 51, 52, 53, 54, 58, 62, 65, 66, 68, 72, 75, 77, 79, 81, 86, 87, 89, 91, 94, 95, 99, 100, 111, 112, 113, 114, 127, 132, 142, 144, 146, 147, 148, 150, 153, 154, 155, 156, 158, 159, 160, 161, 162, 163, 166, 168, 169, 170, 171, 172, 173, 178, 185, 188, 190, 194, 195, 196, 211, 218, 221, 223, 225, 241, 242, 243, 244, 246, 247, 250, 253, 255, 256, 263, 265, 270, 276, 278, 279, 296, 297, 298, 300, 316, 322, 358, 359, 370, 383, 391, 394, 401, 415, 416], "need": [0, 2, 3, 6, 9, 16, 20, 30, 31, 33, 41, 42, 48, 49, 50, 51, 55, 56, 62, 63, 66, 69, 75, 77, 78, 80, 81, 84, 89, 91, 92, 98, 99, 100, 101, 103, 104, 108, 113, 114, 132, 135, 142, 146, 147, 151, 153, 154, 155, 156, 161, 163, 165, 166, 168, 169, 171, 172, 173, 185, 250, 253, 254, 298, 303, 304, 309, 318, 324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 357, 359, 362, 364, 365, 368, 369, 370, 371, 372, 373, 374, 375, 376, 384, 401, 415, 416], "order": [0, 2, 3, 6, 15, 16, 30, 32, 35, 36, 40, 41, 42, 49, 54, 56, 80, 91, 100, 102, 107, 113, 126, 132, 135, 140, 142, 146, 152, 158, 160, 161, 162, 166, 167, 168, 169, 171, 172, 173, 182, 204, 206, 214, 215, 233, 234, 237, 250, 254, 263, 270, 272, 276, 277, 278, 281, 283, 285, 290, 291, 295, 296, 297, 309, 310, 311, 314, 315, 316, 318, 321, 322, 357, 362, 364, 365, 367, 371, 372, 379, 386, 387, 389, 391, 396, 397, 401, 415, 416], "justifi": 0, "pai": [0, 65], "softwar": [0, 6, 69, 72, 163, 166, 303, 416], "engin": [0, 9, 142, 146, 168, 173, 336, 373, 375, 376, 415, 416], "To": [0, 2, 3, 4, 6, 15, 22, 23, 31, 33, 37, 39, 40, 42, 43, 48, 49, 50, 51, 52, 54, 55, 62, 66, 68, 70, 76, 77, 79, 80, 87, 89, 94, 98, 101, 104, 108, 113, 114, 127, 132, 144, 146, 147, 148, 150, 153, 154, 155, 156, 158, 161, 162, 163, 165, 168, 169, 171, 172, 197, 198, 221, 253, 255, 256, 263, 272, 276, 280, 292, 304, 370, 371, 372, 373, 375, 376, 379, 383, 395, 415], "guarante": [0, 6, 81, 154, 160, 230, 239, 291, 296, 297, 308], "futur": [0, 6, 62, 126, 132, 138, 144, 146, 160, 166, 171, 173, 250, 251, 253, 254, 255, 256, 258, 259, 260, 261, 263, 276, 279, 402], "toolkit": 0, "us": [0, 1, 2, 4, 6, 10, 11, 12, 14, 16, 17, 18, 19, 20, 22, 23, 26, 29, 30, 31, 32, 33, 36, 38, 40, 41, 42, 43, 44, 46, 47, 49, 52, 53, 54, 55, 57, 58, 59, 60, 61, 62, 64, 65, 66, 67, 68, 69, 70, 71, 72, 74, 75, 77, 78, 79, 80, 81, 83, 84, 85, 86, 89, 90, 93, 94, 96, 97, 99, 100, 101, 102, 103, 104, 105, 106, 108, 109, 110, 111, 112, 113, 120, 123, 125, 126, 127, 128, 129, 130, 131, 132, 133, 135, 136, 138, 139, 140, 141, 142, 144, 146, 147, 148, 149, 152, 154, 155, 157, 158, 159, 160, 161, 162, 163, 165, 166, 167, 169, 172, 173, 179, 181, 182, 183, 184, 185, 186, 188, 191, 198, 201, 203, 206, 227, 234, 235, 237, 238, 239, 246, 250, 252, 253, 254, 255, 256, 257, 261, 262, 264, 267, 268, 269, 271, 273, 274, 275, 280, 284, 285, 290, 295, 299, 301, 302, 314, 315, 317, 318, 319, 320, 323, 324, 325, 326, 351, 352, 353, 373, 381, 383, 385, 389, 390, 391, 392, 396, 397, 398, 402, 416, 417], "pleas": [0, 3, 19, 29, 30, 32, 33, 34, 35, 36, 49, 50, 52, 53, 58, 62, 64, 67, 71, 72, 75, 77, 98, 100, 102, 103, 105, 106, 127, 133, 142, 146, 151, 153, 156, 161, 166, 173, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400, 401, 404], "see": [0, 3, 6, 8, 9, 12, 13, 14, 15, 16, 20, 21, 22, 23, 26, 28, 30, 31, 34, 36, 39, 40, 41, 43, 46, 48, 49, 50, 51, 52, 54, 55, 56, 60, 64, 67, 71, 72, 74, 80, 83, 86, 89, 94, 99, 100, 102, 103, 106, 107, 110, 113, 114, 116, 120, 126, 132, 133, 135, 139, 140, 142, 144, 146, 147, 148, 150, 151, 152, 153, 154, 156, 158, 159, 160, 161, 162, 163, 166, 168, 169, 171, 173, 175, 178, 180, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 204, 205, 206, 207, 210, 211, 216, 218, 219, 220, 221, 223, 225, 228, 229, 230, 231, 236, 241, 242, 243, 244, 245, 246, 247, 248, 249, 253, 255, 256, 263, 265, 270, 276, 281, 282, 285, 286, 287, 288, 289, 290, 291, 293, 295, 296, 297, 298, 299, 305, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 353, 357, 358, 364, 365, 367, 370, 371, 372, 379, 380, 381, 383, 384, 385, 386, 388, 389, 390, 391, 392, 395, 397, 401, 406, 407, 415, 416], "document": [0, 2, 3, 4, 6, 19, 26, 43, 44, 49, 50, 56, 98, 100, 103, 107, 111, 112, 113, 116, 118, 120, 122, 124, 125, 126, 127, 132, 135, 137, 142, 143, 146, 148, 150, 151, 152, 153, 154, 155, 156, 158, 159, 167, 168, 171, 173, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400, 401, 415, 416], "how": [0, 1, 2, 3, 4, 5, 6, 9, 14, 19, 21, 26, 34, 40, 44, 47, 48, 49, 50, 53, 55, 56, 58, 62, 64, 66, 67, 68, 70, 78, 84, 86, 87, 88, 89, 91, 94, 95, 100, 103, 106, 107, 110, 113, 127, 138, 139, 142, 143, 146, 148, 150, 151, 152, 153, 154, 156, 158, 160, 163, 166, 167, 168, 170, 172, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400, 401, 416, 417], "introductori": [1, 110], "exampl": [1, 2, 3, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 28, 29, 30, 31, 32, 34, 35, 36, 37, 38, 40, 41, 42, 43, 45, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 60, 61, 62, 65, 66, 70, 71, 72, 73, 74, 75, 76, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 93, 94, 95, 96, 98, 99, 100, 102, 103, 104, 105, 106, 107, 112, 113, 120, 125, 126, 127, 128, 129, 132, 133, 135, 137, 138, 141, 142, 143, 146, 151, 154, 155, 156, 157, 160, 161, 162, 163, 165, 171, 186, 188, 203, 246, 253, 255, 256, 280, 301, 373, 404, 416, 417], "teach": [1, 110, 124, 135, 146, 161], "nilearn": [1, 2, 3, 6, 7, 8, 9, 10, 11, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 30, 31, 32, 33, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 75, 76, 77, 78, 79, 80, 81, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 110, 112, 113, 114, 115, 119, 120, 122, 123, 125, 126, 127, 130, 132, 133, 135, 137, 138, 139, 140, 141, 142, 143, 144, 146, 147, 148, 149, 150, 151, 154, 155, 156, 157, 158, 159, 160, 162, 163, 164, 165, 166, 169, 171, 172, 173, 404, 414, 415, 417], "numer": [1, 7, 29, 33, 35, 57, 110, 139, 146, 161, 162, 173, 182, 251, 253, 255, 256, 264, 370, 371, 396, 417], "plot": [1, 2, 4, 7, 8, 19, 20, 21, 23, 25, 26, 27, 29, 30, 31, 33, 36, 37, 38, 39, 40, 41, 42, 43, 46, 48, 49, 51, 52, 53, 54, 56, 57, 59, 61, 62, 63, 64, 65, 67, 69, 71, 72, 75, 76, 77, 78, 79, 81, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 98, 100, 101, 102, 103, 104, 105, 106, 108, 110, 113, 116, 120, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 138, 139, 140, 142, 144, 146, 148, 151, 152, 153, 158, 161, 162, 163, 165, 166, 167, 168, 169, 172, 173, 178, 187, 192, 194, 195, 200, 204, 205, 207, 210, 211, 214, 224, 230, 232, 263, 276, 282, 293, 294, 307, 312, 316, 393, 395, 400, 401, 416, 417], "python": [1, 2, 3, 4, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 75, 76, 77, 78, 79, 80, 81, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 110, 113, 118, 127, 133, 134, 135, 140, 142, 146, 153, 160, 161, 167, 169, 292, 416, 417], "manipul": [1, 7, 55, 66, 89, 113, 127, 146, 168, 171, 298, 365, 377, 417], "3d": [1, 3, 4, 6, 7, 8, 15, 16, 18, 19, 23, 24, 25, 27, 29, 30, 32, 34, 36, 37, 42, 44, 47, 71, 75, 77, 83, 84, 94, 96, 100, 102, 104, 105, 110, 113, 118, 122, 129, 131, 132, 133, 135, 139, 140, 144, 146, 163, 166, 167, 168, 170, 172, 173, 192, 194, 195, 198, 199, 200, 201, 222, 224, 230, 232, 241, 242, 243, 244, 245, 246, 247, 248, 249, 278, 280, 282, 283, 286, 288, 289, 290, 291, 300, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 353, 354, 355, 356, 358, 359, 364, 367, 368, 370, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 386, 387, 388, 391, 401, 417], "4d": [1, 3, 4, 6, 7, 8, 11, 16, 18, 20, 25, 27, 29, 30, 31, 32, 34, 36, 41, 47, 48, 49, 52, 53, 54, 56, 58, 84, 85, 87, 89, 91, 92, 94, 95, 98, 100, 102, 104, 110, 112, 122, 129, 132, 133, 138, 146, 148, 151, 152, 153, 156, 166, 168, 170, 173, 189, 191, 193, 194, 195, 196, 197, 199, 207, 211, 217, 224, 232, 245, 248, 249, 278, 280, 281, 282, 286, 287, 288, 289, 291, 293, 300, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 321, 354, 355, 358, 370, 371, 372, 377, 379, 386, 388, 401, 407, 410, 415, 417], "niimg": [1, 7, 33, 54, 77, 79, 89, 91, 92, 98, 110, 113, 129, 132, 135, 140, 144, 146, 150, 168, 170, 172, 173, 199, 224, 232, 241, 242, 243, 244, 245, 246, 247, 248, 249, 258, 263, 266, 276, 278, 279, 280, 281, 282, 283, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 304, 305, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 353, 357, 358, 364, 365, 367, 370, 371, 372, 377, 379, 380, 384, 385, 386, 388, 389, 390, 391, 392, 394, 395, 397, 401, 403, 417], "handl": [1, 7, 49, 64, 110, 122, 128, 144, 146, 153, 168, 171, 172, 173, 199, 224, 232, 251, 255, 282, 288, 289, 290, 291, 296, 302, 304, 361, 372, 377, 385], "visual": [1, 7, 12, 14, 27, 28, 32, 33, 39, 45, 47, 48, 50, 56, 64, 66, 69, 71, 72, 79, 80, 83, 86, 87, 88, 89, 91, 92, 94, 96, 101, 102, 104, 105, 106, 108, 111, 112, 127, 129, 132, 138, 140, 146, 147, 148, 149, 157, 161, 162, 165, 168, 170, 172, 187, 189, 190, 193, 194, 196, 197, 199, 206, 210, 211, 215, 216, 218, 220, 224, 232, 282, 283, 286, 288, 289, 291, 293, 294, 296, 300, 307, 308, 311, 313, 316, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 357, 358, 361, 362, 363, 369, 370, 371, 372, 375, 376, 377, 417], "introduct": [1, 7, 110, 111, 132, 146, 154, 156, 157, 161, 164, 165, 167, 173, 210, 241, 255, 256, 288, 293, 362, 371, 379, 416, 417], "fmri": [1, 7, 15, 23, 25, 30, 31, 32, 33, 36, 40, 41, 44, 46, 55, 56, 59, 60, 61, 62, 63, 66, 70, 71, 73, 74, 81, 82, 85, 89, 91, 94, 97, 100, 101, 102, 108, 109, 110, 111, 113, 114, 123, 130, 135, 146, 150, 151, 152, 154, 156, 159, 160, 162, 165, 166, 167, 168, 171, 172, 173, 190, 191, 193, 199, 204, 207, 209, 210, 216, 217, 228, 241, 245, 248, 249, 258, 260, 263, 272, 276, 278, 279, 281, 282, 286, 288, 289, 292, 293, 304, 305, 307, 311, 316, 319, 322, 334, 342, 349, 357, 358, 360, 361, 362, 364, 365, 370, 371, 372, 377, 379, 384, 386, 393, 394, 395, 397, 398, 402, 417], "decod": [1, 7, 36, 39, 40, 42, 44, 45, 97, 109, 111, 113, 114, 127, 128, 132, 135, 138, 139, 140, 141, 142, 143, 146, 154, 158, 162, 166, 167, 173, 210, 213, 220, 230, 263, 266, 282, 286, 288, 293, 307, 311, 312, 335, 361, 362, 371, 372, 376, 377, 379, 393, 395, 400, 401, 416, 417], "intro": [1, 7, 66, 110, 228, 263, 279, 282, 293, 357, 360, 361, 365, 372, 394], "glm": [1, 7, 28, 32, 42, 45, 61, 62, 63, 65, 66, 68, 69, 70, 71, 75, 76, 77, 78, 79, 80, 81, 100, 101, 108, 138, 139, 140, 142, 144, 146, 153, 162, 165, 166, 167, 169, 210, 228, 241, 282, 288, 293, 300, 303, 357, 360, 361, 363, 365, 372, 393, 394, 395, 414, 416, 417], "analysi": [1, 7, 15, 23, 28, 29, 34, 45, 48, 49, 63, 66, 68, 71, 73, 77, 78, 79, 80, 82, 95, 98, 109, 111, 112, 114, 147, 148, 152, 154, 157, 159, 164, 165, 166, 167, 168, 172, 173, 190, 193, 207, 208, 210, 213, 215, 216, 217, 219, 223, 226, 228, 230, 240, 241, 245, 248, 250, 251, 254, 255, 256, 259, 263, 266, 270, 272, 276, 279, 282, 286, 288, 291, 292, 293, 294, 300, 303, 304, 305, 306, 307, 311, 322, 335, 350, 357, 360, 361, 364, 365, 366, 367, 371, 372, 376, 377, 386, 393, 394, 395, 401, 416, 417], "singl": [1, 3, 7, 14, 23, 30, 31, 46, 49, 59, 60, 64, 65, 66, 67, 68, 73, 77, 79, 86, 94, 100, 104, 110, 111, 114, 118, 138, 139, 140, 141, 144, 146, 147, 154, 158, 160, 162, 171, 173, 188, 207, 221, 228, 229, 241, 242, 243, 244, 253, 255, 256, 263, 270, 276, 278, 279, 282, 293, 296, 307, 308, 309, 310, 311, 312, 335, 357, 360, 361, 365, 367, 369, 370, 372, 377, 379, 384, 386, 394, 415], "session": [1, 3, 7, 29, 34, 35, 36, 37, 60, 66, 67, 73, 102, 110, 113, 140, 142, 146, 147, 153, 154, 162, 163, 168, 171, 172, 209, 210, 220, 228, 229, 249, 263, 266, 270, 279, 281, 282, 293, 296, 301, 317, 319, 357, 360, 361, 365, 372, 377, 393, 394, 395], "subject": [1, 3, 7, 11, 15, 16, 17, 18, 21, 22, 23, 25, 29, 30, 32, 33, 34, 35, 36, 37, 38, 41, 42, 43, 46, 47, 48, 49, 50, 52, 54, 56, 57, 58, 59, 60, 64, 65, 66, 69, 73, 75, 77, 78, 80, 85, 91, 94, 95, 99, 100, 101, 102, 104, 105, 106, 108, 110, 111, 113, 114, 123, 125, 126, 135, 138, 146, 148, 149, 150, 151, 153, 160, 162, 163, 165, 168, 171, 172, 174, 177, 178, 179, 180, 182, 186, 187, 188, 190, 196, 207, 210, 215, 216, 218, 219, 225, 228, 229, 230, 231, 240, 248, 249, 263, 266, 270, 276, 277, 279, 282, 293, 296, 301, 304, 305, 307, 308, 310, 311, 312, 317, 319, 335, 355, 357, 359, 360, 361, 365, 369, 372, 377, 384, 394, 415, 417], "dataset": [1, 3, 4, 7, 9, 10, 13, 14, 18, 19, 20, 21, 22, 23, 24, 25, 26, 28, 40, 45, 47, 52, 54, 55, 56, 57, 60, 64, 66, 67, 69, 70, 71, 73, 74, 77, 81, 82, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 97, 98, 100, 102, 103, 104, 107, 109, 110, 113, 114, 122, 123, 127, 131, 132, 135, 136, 137, 138, 140, 141, 142, 143, 144, 146, 147, 148, 149, 152, 153, 154, 157, 159, 162, 165, 166, 167, 168, 169, 170, 173, 241, 242, 243, 244, 247, 248, 251, 259, 263, 266, 270, 272, 276, 279, 280, 282, 283, 286, 288, 292, 293, 297, 301, 303, 305, 306, 307, 311, 312, 322, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 357, 360, 361, 364, 365, 366, 367, 369, 372, 373, 374, 375, 376, 377, 379, 380, 387, 393, 394, 395, 401, 415, 417], "click": [2, 3, 4, 5, 6, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 75, 76, 77, 78, 79, 80, 81, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 114, 163, 168, 173, 216, 415], "here": [2, 3, 4, 5, 6, 9, 10, 11, 12, 13, 14, 15, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 42, 43, 44, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 75, 76, 77, 78, 79, 80, 81, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 111, 113, 114, 138, 146, 147, 148, 150, 151, 152, 153, 154, 155, 156, 158, 160, 161, 162, 163, 165, 168, 169, 172, 173, 207, 246, 247, 253, 255, 256, 278, 315, 322, 323, 325, 326, 327, 328, 329, 330, 331, 332, 337, 341, 342, 345, 346, 347, 348, 373], "full": [2, 3, 4, 5, 6, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 75, 76, 77, 78, 79, 80, 81, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 111, 118, 146, 150, 151, 152, 154, 156, 158, 160, 161, 162, 166, 168, 172, 173, 194, 195, 199, 204, 207, 210, 218, 241, 242, 243, 244, 248, 249, 250, 253, 254, 255, 256, 263, 276, 278, 281, 298, 304, 305, 308, 309, 310, 311, 312, 313, 369, 384, 386, 388, 393, 397], "code": [2, 3, 4, 5, 6, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 75, 76, 77, 78, 79, 80, 81, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 110, 111, 113, 121, 138, 142, 144, 146, 147, 151, 152, 154, 156, 160, 162, 166, 168, 173, 186, 245, 249, 263, 276, 310, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 353, 368, 386, 393, 395, 409, 411, 416], "run": [2, 3, 4, 5, 6, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 29, 30, 31, 32, 34, 35, 36, 37, 38, 39, 40, 42, 43, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 61, 62, 63, 64, 65, 67, 68, 69, 70, 71, 72, 75, 76, 77, 78, 79, 80, 81, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 98, 99, 100, 101, 102, 104, 105, 106, 107, 108, 110, 113, 122, 126, 140, 142, 144, 146, 147, 148, 150, 154, 157, 158, 159, 160, 161, 162, 169, 171, 173, 180, 182, 210, 216, 248, 249, 263, 266, 281, 305, 311, 322, 360, 383, 397, 415, 416, 417], "browser": [2, 3, 4, 5, 6, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 23, 24, 25, 26, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 47, 48, 49, 50, 51, 53, 55, 56, 57, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 75, 76, 77, 78, 79, 80, 81, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 132, 135, 137, 146, 173, 263, 276, 336, 378, 379, 380, 381, 382, 393, 395, 415], "via": [2, 3, 4, 5, 6, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 75, 76, 77, 78, 79, 80, 81, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 111, 113, 116, 146, 148, 149, 153, 156, 159, 162, 168, 171, 191, 246, 247, 263, 272, 314, 315, 316, 318], "binder": [2, 3, 4, 5, 6, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 75, 76, 77, 78, 79, 80, 81, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 137, 146], "discov": [2, 161, 167], "come": [2, 3, 6, 14, 16, 42, 52, 54, 58, 75, 80, 94, 113, 148, 153, 154, 160, 161, 168, 169, 172, 173, 207, 415], "function": [2, 3, 4, 6, 8, 9, 11, 13, 14, 15, 17, 18, 21, 22, 25, 26, 27, 29, 30, 32, 34, 35, 36, 43, 48, 49, 52, 53, 55, 56, 58, 59, 60, 62, 64, 65, 66, 67, 69, 71, 72, 73, 74, 85, 88, 89, 90, 91, 92, 93, 94, 95, 97, 98, 102, 104, 108, 109, 111, 113, 114, 116, 118, 120, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 135, 137, 138, 139, 140, 141, 142, 143, 144, 146, 150, 153, 154, 157, 160, 161, 162, 163, 164, 165, 166, 167, 169, 170, 171, 173, 178, 179, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 254, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 384, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400, 401, 402, 403, 404, 405, 407, 408, 409, 410, 412, 413, 416, 417], "public": [2, 14, 62, 100, 114, 142, 144, 146, 161, 166, 225], "let": [2, 3, 4, 6, 14, 15, 40, 49, 56, 63, 64, 66, 69, 71, 75, 77, 78, 79, 86, 93, 98, 154, 168, 280, 292], "": [2, 3, 4, 6, 9, 10, 11, 16, 18, 22, 23, 25, 29, 30, 32, 33, 34, 35, 36, 37, 40, 41, 42, 43, 44, 47, 48, 49, 50, 52, 53, 54, 55, 56, 63, 64, 65, 66, 67, 68, 69, 71, 72, 75, 77, 78, 80, 85, 86, 89, 91, 92, 93, 94, 95, 100, 102, 103, 104, 105, 108, 111, 114, 125, 132, 138, 142, 143, 147, 150, 154, 157, 158, 160, 161, 163, 164, 165, 166, 168, 169, 171, 172, 173, 178, 179, 180, 188, 190, 191, 199, 201, 202, 204, 205, 211, 216, 218, 221, 223, 225, 241, 242, 243, 244, 245, 246, 247, 248, 249, 253, 255, 256, 263, 276, 280, 281, 290, 292, 296, 297, 298, 304, 305, 307, 308, 309, 310, 311, 312, 324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 358, 359, 368, 374, 378, 383, 384, 385, 386, 395, 397, 415, 417], "first": [2, 6, 11, 14, 16, 18, 20, 23, 25, 30, 32, 33, 34, 35, 40, 42, 48, 49, 50, 51, 52, 53, 54, 55, 56, 58, 63, 64, 65, 67, 70, 73, 75, 77, 80, 81, 84, 86, 89, 91, 92, 93, 94, 95, 97, 104, 105, 109, 111, 113, 114, 115, 132, 133, 135, 138, 140, 142, 143, 146, 147, 148, 150, 151, 152, 154, 156, 157, 160, 161, 163, 164, 165, 169, 170, 171, 172, 180, 182, 208, 209, 212, 213, 217, 218, 221, 223, 226, 230, 233, 234, 237, 240, 241, 242, 243, 244, 248, 249, 251, 259, 263, 266, 270, 272, 276, 278, 282, 287, 288, 297, 298, 301, 303, 304, 306, 310, 311, 318, 322, 360, 361, 364, 366, 371, 372, 373, 374, 375, 376, 377, 382, 383, 384, 386, 393, 394, 395, 401, 416, 417], "check": [2, 3, 15, 29, 30, 32, 33, 34, 35, 36, 77, 93, 94, 98, 105, 113, 122, 125, 146, 148, 153, 156, 160, 161, 168, 169, 171, 173, 180, 182, 212, 232, 241, 242, 243, 244, 264, 291, 304, 324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 415], "where": [2, 6, 9, 14, 15, 16, 23, 24, 40, 44, 50, 70, 77, 84, 87, 94, 100, 105, 110, 125, 139, 146, 147, 151, 153, 158, 159, 161, 163, 166, 169, 172, 173, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 225, 226, 227, 228, 229, 230, 231, 232, 241, 242, 243, 244, 246, 247, 250, 253, 254, 255, 256, 259, 263, 276, 278, 313, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 354, 357, 360, 362, 365, 366, 367, 370, 371, 372, 373, 374, 376, 377, 379, 386, 388, 394, 401, 415], "our": [2, 3, 14, 19, 29, 34, 40, 49, 51, 56, 58, 66, 68, 94, 98, 101, 113, 114, 132, 142, 146, 148, 153, 160, 161, 163, 416], "disk": [2, 3, 4, 6, 14, 101, 103, 107, 108, 113, 114, 132, 138, 139, 144, 146, 153, 161, 168, 171, 172, 173, 203, 213, 221, 223, 226, 241, 242, 263, 276, 313, 373, 375, 376, 393, 395], "import": [2, 3, 4, 5, 6, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 61, 62, 63, 64, 65, 66, 67, 68, 69, 71, 72, 75, 76, 77, 78, 79, 80, 81, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 113, 114, 125, 131, 132, 133, 135, 138, 140, 142, 146, 147, 148, 151, 153, 154, 155, 156, 158, 160, 161, 162, 165, 166, 168, 169, 171, 172, 173, 251, 253, 255, 256, 263, 276, 280, 283, 288, 292, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 368, 395, 401, 414, 415], "print": [2, 3, 4, 6, 9, 10, 11, 14, 16, 18, 20, 21, 22, 23, 25, 29, 30, 31, 32, 33, 34, 35, 36, 40, 41, 42, 43, 44, 47, 48, 49, 51, 52, 53, 54, 55, 56, 58, 61, 62, 64, 69, 70, 71, 72, 75, 77, 81, 85, 89, 91, 92, 93, 94, 95, 98, 101, 102, 103, 104, 105, 107, 108, 113, 153, 160, 171, 180, 188, 248, 249, 263, 276, 288, 308, 309, 310, 311, 312], "store": [2, 3, 14, 26, 29, 44, 49, 50, 51, 52, 54, 70, 94, 101, 108, 114, 151, 153, 158, 161, 168, 194, 195, 232, 253, 255, 256, 294, 313, 322, 366], "r": [2, 4, 9, 14, 15, 24, 30, 34, 40, 41, 47, 51, 56, 71, 94, 108, 111, 135, 142, 146, 162, 168, 169, 186, 191, 196, 198, 199, 202, 204, 208, 226, 246, 247, 263, 276, 281, 303, 304, 305, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 359, 364, 368, 395, 397, 415], "get_data_dir": [2, 14, 125, 146, 171], "home": [2, 3, 4, 6, 9, 10, 11, 14, 15, 16, 18, 20, 21, 22, 23, 25, 29, 30, 31, 32, 33, 34, 35, 36, 39, 41, 42, 43, 47, 48, 49, 50, 52, 53, 54, 55, 56, 57, 58, 61, 62, 64, 71, 75, 77, 78, 79, 84, 85, 86, 87, 88, 89, 91, 92, 94, 95, 98, 100, 101, 102, 103, 104, 105, 106, 108, 168, 171, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 225, 226, 227, 228, 229, 230, 231, 232, 291], "yasmin": [2, 3, 4, 6, 9, 10, 11, 14, 15, 16, 18, 20, 21, 22, 23, 25, 29, 30, 31, 32, 33, 34, 35, 36, 39, 41, 42, 43, 47, 48, 49, 50, 52, 53, 54, 55, 56, 57, 58, 61, 62, 64, 71, 75, 77, 78, 79, 84, 85, 86, 87, 88, 89, 91, 92, 94, 95, 98, 100, 101, 102, 103, 104, 105, 106, 108, 144, 146], "nilearn_data": [2, 3, 6, 10, 11, 14, 16, 18, 23, 25, 29, 30, 32, 34, 35, 36, 41, 42, 43, 47, 48, 49, 52, 53, 54, 55, 56, 58, 62, 75, 77, 85, 89, 91, 92, 94, 95, 100, 101, 102, 104, 105, 108, 194, 195, 232], "now": [2, 3, 6, 14, 16, 20, 22, 25, 29, 40, 44, 49, 50, 51, 55, 56, 63, 65, 66, 71, 79, 81, 84, 86, 92, 93, 94, 100, 101, 103, 104, 108, 113, 118, 120, 122, 124, 125, 126, 127, 128, 129, 131, 132, 133, 134, 135, 137, 138, 139, 140, 141, 142, 143, 144, 146, 153, 159, 161, 167, 168, 169, 172, 241, 242, 243, 244, 248, 249, 250, 253, 254, 255, 256, 280, 288, 292, 308, 309, 311, 384, 414], "retriev": [2, 20, 22, 44, 48, 90, 91, 92, 113, 142, 146, 148, 153, 156, 167, 171, 173, 202, 228, 229, 232, 304, 305, 351, 352], "motor": [2, 14, 16, 17, 51, 66, 69, 77, 79, 91, 97, 109, 110, 216, 286, 307, 311, 322, 364, 415], "contrast": [2, 6, 8, 14, 15, 16, 27, 33, 64, 65, 67, 68, 71, 75, 76, 77, 78, 79, 80, 81, 88, 90, 101, 105, 106, 108, 110, 125, 129, 130, 139, 142, 146, 152, 158, 163, 164, 165, 166, 214, 215, 216, 222, 224, 252, 253, 255, 256, 257, 259, 260, 261, 263, 276, 278, 303, 357, 360, 370, 371, 372, 377, 379, 383, 395, 415, 417], "neurovault": [2, 14, 16, 97, 109, 110, 111, 112, 128, 135, 140, 144, 146, 166, 221, 222, 223, 224, 233, 286, 291, 292, 294, 298, 307, 311, 364, 372, 377, 417], "repositori": [2, 111, 112, 161, 166, 169, 171, 211, 221, 223, 417], "motor_imag": [2, 9, 13, 14, 15, 16, 90, 93, 415], "fetch_neurovault_motor_task": [2, 9, 13, 14, 15, 16, 90, 93, 132, 146, 222, 415], "imag": [2, 6, 10, 11, 12, 13, 14, 15, 18, 20, 21, 22, 23, 24, 25, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 40, 41, 42, 43, 44, 47, 48, 49, 50, 52, 53, 54, 55, 56, 58, 62, 63, 64, 66, 67, 68, 70, 71, 75, 76, 77, 78, 79, 80, 84, 86, 87, 88, 89, 91, 92, 94, 96, 98, 100, 101, 102, 104, 105, 106, 108, 111, 112, 118, 120, 123, 124, 125, 127, 128, 129, 130, 131, 132, 133, 135, 139, 140, 141, 142, 143, 144, 146, 148, 150, 151, 152, 153, 154, 158, 159, 161, 163, 166, 168, 170, 178, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 201, 202, 207, 210, 211, 212, 214, 216, 217, 218, 220, 221, 222, 223, 224, 225, 228, 229, 233, 234, 235, 236, 237, 238, 241, 242, 243, 244, 245, 246, 247, 248, 249, 258, 260, 263, 266, 276, 277, 278, 279, 304, 305, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 322, 324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 354, 355, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 379, 380, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 394, 395, 397, 398, 401, 407, 417], "collection_658": [2, 14], "image_10426": [2, 14], "nii": [2, 3, 4, 6, 10, 11, 14, 16, 18, 25, 29, 30, 32, 34, 35, 36, 41, 42, 43, 47, 48, 49, 52, 53, 54, 55, 56, 58, 62, 64, 75, 77, 85, 86, 89, 91, 92, 94, 95, 101, 102, 104, 105, 108, 113, 168, 171, 266, 301, 303, 304, 305, 373, 374, 375, 376, 382, 399], "gz": [2, 3, 4, 6, 10, 11, 14, 16, 18, 22, 23, 25, 29, 30, 32, 34, 35, 36, 41, 42, 43, 47, 48, 49, 52, 53, 54, 55, 56, 58, 62, 64, 75, 77, 85, 86, 89, 91, 92, 94, 95, 101, 102, 104, 105, 113, 169, 171, 303, 304, 305, 373, 374, 375, 376, 382, 399, 400], "filenam": [2, 3, 4, 10, 15, 50, 55, 61, 94, 113, 125, 135, 142, 143, 146, 148, 151, 152, 168, 171, 172, 194, 195, 226, 239, 241, 242, 243, 244, 246, 247, 291, 303, 307, 308, 311, 324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 362, 370], "take": [2, 3, 4, 6, 9, 24, 29, 33, 40, 42, 43, 49, 50, 65, 66, 68, 69, 71, 72, 77, 79, 94, 98, 100, 103, 108, 113, 129, 132, 135, 141, 146, 147, 148, 150, 153, 156, 158, 160, 161, 162, 163, 168, 171, 173, 178, 212, 221, 233, 234, 235, 236, 237, 238, 241, 242, 243, 244, 245, 249, 263, 265, 270, 278, 321, 322, 326, 384, 386, 388, 401, 412, 415], "tmap_filenam": [2, 88], "0": [2, 3, 4, 5, 6, 9, 11, 12, 13, 14, 15, 16, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 75, 76, 77, 78, 79, 80, 81, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 111, 113, 147, 148, 151, 153, 159, 160, 161, 162, 163, 168, 169, 171, 172, 173, 178, 179, 180, 182, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 233, 234, 235, 236, 237, 238, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 253, 254, 255, 256, 258, 263, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 278, 279, 280, 281, 282, 283, 285, 287, 288, 290, 291, 292, 293, 294, 296, 297, 298, 300, 303, 304, 305, 307, 308, 309, 310, 311, 312, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 354, 357, 358, 359, 364, 368, 369, 370, 371, 372, 373, 375, 376, 378, 379, 380, 381, 382, 383, 384, 385, 386, 388, 389, 391, 394, 395, 397, 398, 401, 402, 415, 416], "contain": [2, 3, 4, 6, 10, 11, 22, 23, 36, 40, 49, 52, 55, 62, 64, 69, 79, 84, 86, 91, 94, 101, 106, 107, 108, 113, 114, 122, 127, 132, 135, 144, 146, 147, 153, 154, 157, 160, 161, 163, 166, 169, 171, 173, 178, 179, 180, 182, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 204, 205, 206, 207, 210, 220, 221, 222, 223, 224, 225, 231, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 252, 253, 255, 256, 257, 263, 266, 276, 277, 278, 281, 282, 290, 296, 300, 301, 304, 305, 306, 307, 308, 309, 310, 311, 312, 322, 367, 368, 373, 374, 375, 376, 380, 382, 383, 384, 385, 386, 387, 393, 395, 397, 399, 400, 401, 406, 417], "easili": [2, 3, 9, 15, 30, 31, 39, 49, 58, 94, 113, 114, 142, 146, 153, 154, 156, 158, 159, 160, 161, 162, 166, 169, 194, 195, 216, 276], "statist": [2, 6, 8, 14, 22, 23, 27, 33, 36, 40, 42, 49, 64, 65, 66, 67, 69, 71, 74, 75, 82, 83, 96, 100, 101, 102, 103, 105, 108, 111, 112, 120, 127, 128, 138, 140, 144, 146, 147, 152, 155, 158, 161, 162, 164, 166, 167, 168, 172, 173, 179, 182, 192, 200, 215, 221, 222, 223, 224, 230, 251, 252, 253, 255, 256, 257, 258, 259, 263, 276, 278, 279, 281, 300, 303, 322, 335, 336, 364, 367, 370, 372, 373, 374, 376, 377, 378, 379, 380, 381, 382, 386, 388, 394, 395, 397, 401, 410, 416, 417], "map": [2, 3, 8, 11, 14, 15, 19, 20, 22, 23, 27, 33, 37, 39, 44, 46, 50, 51, 52, 53, 54, 56, 59, 61, 62, 64, 66, 67, 69, 71, 72, 75, 76, 77, 78, 79, 80, 81, 83, 84, 87, 89, 90, 91, 92, 93, 96, 97, 99, 101, 102, 104, 108, 109, 110, 111, 112, 120, 124, 127, 128, 132, 133, 135, 138, 139, 142, 146, 148, 149, 152, 154, 156, 157, 158, 161, 162, 163, 164, 166, 167, 168, 171, 172, 173, 178, 179, 180, 188, 189, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 207, 211, 214, 215, 216, 221, 222, 223, 224, 225, 230, 233, 241, 242, 243, 244, 245, 246, 247, 248, 249, 258, 259, 263, 272, 276, 278, 279, 281, 283, 289, 298, 300, 303, 307, 308, 309, 310, 311, 312, 322, 324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 353, 356, 358, 364, 365, 367, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, 388, 390, 392, 394, 395, 397, 401, 410, 417], "plot_stat_map": [2, 6, 9, 15, 17, 29, 30, 31, 36, 39, 40, 42, 43, 48, 50, 55, 61, 64, 65, 66, 67, 70, 71, 75, 76, 77, 81, 85, 87, 88, 90, 92, 93, 94, 98, 100, 102, 103, 104, 106, 107, 113, 120, 131, 132, 139, 140, 142, 143, 146, 151, 153, 165, 173, 379, 415], "img_plot": [2, 10], "py": [2, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 75, 76, 77, 78, 79, 80, 81, 82, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 135, 140, 141, 142, 144, 146, 161, 169, 173], "300": [2, 26, 33, 36, 41, 42, 44, 55, 61, 70, 100, 102, 198, 206, 218], "futurewarn": [2, 48, 50, 62, 92, 103, 104], "default": [2, 3, 8, 9, 14, 15, 23, 25, 27, 29, 30, 32, 33, 34, 35, 36, 37, 42, 55, 56, 60, 62, 66, 73, 79, 83, 89, 92, 94, 96, 102, 103, 104, 110, 114, 120, 122, 125, 126, 131, 132, 133, 135, 138, 139, 140, 141, 142, 144, 146, 153, 154, 158, 160, 162, 168, 171, 172, 173, 178, 179, 180, 182, 184, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 253, 254, 255, 256, 258, 259, 260, 263, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 285, 287, 288, 291, 293, 294, 295, 296, 297, 300, 301, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 353, 354, 356, 357, 358, 359, 360, 361, 362, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 391, 393, 394, 395, 396, 397, 398, 401, 415], "resolut": [2, 21, 75, 76, 93, 111, 113, 128, 140, 141, 146, 151, 170, 188, 193, 197, 198, 207, 230, 233, 234, 235, 236, 237, 238, 258, 311, 315, 324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 367, 380, 386, 417], "mni": [2, 15, 48, 52, 54, 66, 69, 93, 101, 108, 111, 114, 125, 135, 138, 144, 146, 148, 165, 166, 172, 173, 188, 190, 196, 204, 205, 206, 211, 235, 236, 238, 241, 242, 243, 244, 283, 312, 315, 318, 357, 359, 362, 364, 365, 370, 371, 372, 378, 379, 381, 415], "templat": [2, 4, 16, 22, 23, 48, 69, 75, 83, 96, 108, 110, 111, 120, 125, 130, 135, 138, 141, 144, 146, 151, 163, 166, 172, 173, 188, 190, 202, 211, 212, 224, 225, 233, 234, 235, 236, 237, 238, 241, 242, 243, 244, 248, 249, 263, 276, 291, 296, 297, 305, 308, 311, 315, 318, 357, 370, 371, 372, 377, 379, 384, 393], "chang": [2, 14, 19, 40, 42, 51, 62, 68, 102, 105, 106, 116, 154, 156, 160, 161, 163, 168, 169, 170, 230, 250, 251, 253, 254, 255, 256, 258, 259, 260, 261, 263, 271, 276, 279, 290, 294, 296, 299, 300, 308, 309, 310, 311, 312, 313, 322, 373, 375, 376, 382, 389, 391, 394, 397, 402, 414, 417], "2mm": [2, 10, 21, 56, 91, 141, 146, 148, 158, 193, 194, 195], "1mm": [2, 10, 141, 146, 194, 195, 198, 235, 236, 238, 315], "version": [2, 9, 19, 20, 22, 32, 35, 36, 40, 41, 42, 47, 48, 50, 51, 52, 53, 54, 55, 56, 58, 61, 62, 64, 67, 70, 71, 89, 91, 92, 94, 98, 99, 100, 102, 103, 104, 105, 106, 113, 118, 120, 122, 125, 126, 127, 128, 129, 130, 132, 134, 135, 138, 140, 141, 142, 143, 144, 146, 159, 160, 161, 168, 169, 171, 173, 178, 184, 185, 186, 188, 190, 193, 195, 197, 198, 200, 201, 202, 206, 207, 208, 212, 221, 223, 225, 226, 227, 230, 231, 233, 234, 235, 236, 237, 238, 241, 242, 243, 244, 247, 248, 249, 263, 272, 276, 278, 280, 281, 285, 290, 291, 292, 297, 300, 303, 304, 305, 307, 308, 309, 310, 311, 312, 315, 318, 322, 358, 369, 370, 373, 375, 376, 383, 384, 385, 386, 388, 391, 394, 397, 401, 415], "10": [2, 3, 5, 6, 9, 11, 12, 15, 16, 20, 21, 22, 23, 24, 27, 29, 30, 31, 32, 33, 34, 35, 36, 37, 39, 40, 41, 42, 43, 44, 45, 47, 48, 49, 50, 53, 54, 55, 56, 57, 58, 61, 62, 63, 66, 71, 72, 76, 77, 79, 81, 87, 89, 91, 92, 94, 98, 99, 100, 102, 103, 104, 105, 106, 108, 111, 114, 119, 132, 142, 146, 147, 150, 153, 154, 155, 158, 159, 160, 162, 163, 168, 178, 179, 182, 186, 188, 189, 190, 191, 192, 193, 196, 197, 198, 199, 200, 201, 202, 204, 205, 206, 208, 210, 211, 216, 218, 219, 220, 221, 223, 225, 226, 230, 231, 236, 241, 242, 243, 244, 245, 246, 247, 248, 249, 258, 266, 278, 281, 304, 305, 310, 322, 324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 358, 383, 384, 385, 386, 397, 398, 401, 415], "anat_img": [2, 129, 146, 357], "load_mni152_templ": [2, 93, 141, 146, 211, 212, 233, 235, 238, 280, 283, 288, 292, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 401], "displai": [2, 3, 4, 6, 10, 11, 13, 16, 17, 18, 20, 21, 22, 23, 25, 26, 39, 40, 42, 47, 48, 49, 50, 51, 55, 57, 61, 62, 64, 65, 66, 67, 68, 69, 70, 71, 75, 80, 81, 84, 86, 87, 88, 89, 91, 92, 93, 94, 98, 99, 100, 102, 105, 106, 124, 129, 130, 132, 133, 135, 139, 140, 142, 144, 146, 148, 151, 152, 158, 163, 167, 172, 263, 270, 276, 310, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 378, 379, 380, 381, 382, 386, 393, 395, 417], "_slicer": [2, 3, 4, 6, 9, 10, 15, 16, 17, 25, 39, 48, 49, 50, 64, 67, 70, 75, 81, 86, 88, 89, 92, 94, 98, 142, 146], "orthoslic": [2, 3, 4, 6, 10, 15, 16, 17, 25, 48, 50, 64, 67, 70, 75, 81, 86, 89, 94, 98, 142, 146, 327, 328, 329, 330, 331, 332, 333, 334, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 352, 415], "object": [2, 3, 4, 5, 6, 9, 10, 13, 14, 15, 16, 17, 25, 28, 30, 32, 33, 36, 38, 39, 40, 42, 43, 44, 45, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 58, 63, 64, 67, 70, 75, 81, 86, 88, 89, 91, 92, 94, 98, 110, 111, 113, 114, 124, 127, 135, 138, 141, 142, 144, 146, 147, 148, 149, 150, 151, 153, 154, 155, 156, 158, 160, 161, 162, 166, 167, 168, 170, 172, 178, 179, 180, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 204, 205, 206, 207, 210, 211, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 228, 229, 230, 231, 241, 242, 243, 244, 245, 246, 247, 248, 249, 253, 255, 256, 258, 263, 266, 276, 278, 279, 280, 281, 282, 284, 285, 286, 287, 288, 289, 290, 291, 293, 294, 295, 296, 297, 298, 299, 300, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 353, 357, 358, 359, 360, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 382, 383, 384, 385, 386, 388, 389, 390, 391, 392, 393, 394, 395, 400, 401, 403, 406, 409, 415, 417], "0x7f1274daf910": 2, "better": [2, 3, 30, 33, 42, 43, 49, 66, 94, 100, 103, 111, 119, 123, 126, 132, 140, 146, 148, 149, 150, 152, 153, 154, 155, 156, 157, 160, 162, 172, 179, 370, 386, 401, 417], "threshold": [2, 3, 9, 13, 14, 16, 17, 23, 30, 33, 36, 37, 39, 40, 42, 48, 49, 50, 54, 55, 56, 61, 64, 65, 66, 67, 69, 70, 71, 75, 76, 77, 79, 80, 81, 87, 88, 89, 90, 93, 94, 100, 101, 102, 103, 104, 105, 106, 107, 108, 111, 114, 120, 133, 135, 139, 142, 144, 146, 148, 151, 160, 163, 164, 166, 172, 212, 233, 234, 237, 248, 258, 262, 263, 276, 278, 279, 280, 300, 304, 305, 315, 316, 317, 318, 319, 320, 322, 324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 356, 357, 359, 364, 365, 367, 370, 371, 372, 373, 375, 376, 378, 379, 380, 382, 385, 386, 394, 395, 415, 417], "3": [2, 3, 4, 6, 7, 11, 13, 14, 15, 16, 17, 20, 21, 23, 25, 27, 30, 32, 33, 34, 35, 36, 37, 40, 41, 42, 43, 44, 48, 49, 50, 51, 53, 56, 57, 58, 59, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 75, 76, 77, 78, 80, 81, 84, 86, 87, 88, 89, 90, 91, 92, 93, 94, 96, 98, 99, 100, 102, 103, 104, 105, 107, 108, 109, 111, 115, 119, 122, 125, 126, 129, 132, 133, 134, 135, 140, 141, 142, 143, 151, 158, 159, 162, 163, 168, 169, 172, 173, 179, 180, 182, 184, 185, 186, 190, 191, 193, 196, 197, 198, 200, 201, 202, 207, 208, 211, 218, 221, 223, 226, 230, 231, 241, 242, 243, 244, 245, 246, 247, 248, 249, 253, 255, 256, 258, 263, 265, 270, 276, 279, 288, 290, 292, 293, 296, 298, 304, 305, 308, 310, 311, 314, 316, 317, 319, 321, 322, 324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 354, 355, 357, 359, 362, 364, 365, 368, 370, 371, 372, 373, 375, 376, 378, 379, 380, 381, 382, 384, 385, 386, 387, 388, 395, 401, 403, 415, 416], "0x7f12752f0430": 2, "rest": [2, 3, 6, 23, 30, 32, 33, 35, 41, 48, 50, 54, 55, 56, 62, 70, 85, 87, 89, 92, 98, 100, 111, 123, 127, 146, 150, 151, 152, 156, 160, 166, 168, 171, 187, 189, 190, 199, 218, 231, 240, 249, 302, 304, 305, 311, 369, 386, 417], "state": [2, 23, 30, 32, 48, 49, 50, 54, 56, 66, 85, 87, 89, 92, 100, 111, 127, 138, 140, 146, 147, 148, 150, 151, 152, 154, 159, 163, 166, 168, 169, 187, 189, 190, 218, 231, 241, 242, 243, 244, 245, 248, 249, 263, 272, 278, 304, 305, 307, 308, 309, 310, 311, 312, 384, 386, 397, 417], "network": [2, 8, 19, 20, 21, 27, 46, 47, 48, 51, 54, 55, 60, 72, 73, 83, 86, 94, 96, 101, 110, 111, 114, 124, 138, 144, 146, 147, 148, 149, 151, 161, 162, 166, 167, 168, 173, 187, 189, 190, 196, 198, 199, 202, 204, 205, 206, 216, 218, 263, 270, 288, 304, 305, 307, 310, 312, 335, 356, 368, 369, 370, 372, 377, 386, 393, 395, 415, 417], "smith": [2, 21, 83, 94, 96, 110, 111, 147, 166, 199, 218, 278, 288, 307, 310, 322, 356, 370, 372, 377, 386], "2009": [2, 21, 111, 119, 138, 141, 146, 166, 168, 192, 199, 211, 212, 218, 236, 278, 322], "studi": [2, 6, 31, 33, 40, 42, 56, 66, 71, 75, 97, 99, 109, 110, 111, 114, 149, 154, 156, 157, 159, 160, 163, 167, 171, 190, 211, 221, 223, 225, 233, 236, 245, 286, 291, 292, 294, 298, 304, 305, 307, 311, 364, 372, 377, 417], "correspond": [2, 3, 6, 14, 24, 29, 30, 33, 34, 36, 39, 40, 44, 49, 55, 56, 63, 65, 66, 69, 70, 72, 77, 78, 79, 80, 81, 86, 91, 92, 94, 101, 102, 108, 111, 137, 139, 146, 148, 153, 154, 156, 158, 160, 161, 163, 166, 167, 169, 173, 178, 188, 193, 196, 199, 206, 212, 216, 223, 225, 233, 234, 237, 241, 242, 243, 244, 246, 247, 248, 249, 259, 263, 265, 266, 270, 272, 276, 277, 278, 292, 293, 296, 301, 308, 309, 311, 314, 315, 316, 317, 318, 319, 320, 322, 351, 352, 357, 358, 362, 365, 366, 368, 370, 371, 372, 374, 384, 386, 387, 389, 391, 394, 401], "between": [2, 6, 9, 22, 23, 24, 30, 40, 42, 49, 50, 51, 55, 62, 66, 69, 71, 72, 75, 77, 80, 86, 89, 92, 99, 100, 102, 105, 120, 127, 132, 135, 138, 141, 146, 147, 148, 149, 151, 153, 154, 158, 160, 161, 162, 163, 165, 166, 167, 168, 169, 186, 198, 218, 236, 243, 244, 249, 263, 276, 281, 316, 322, 323, 325, 326, 353, 357, 359, 364, 366, 368, 370, 371, 372, 373, 375, 376, 379, 384, 394, 395, 397, 401], "task": [2, 3, 14, 17, 29, 30, 31, 34, 39, 49, 60, 62, 66, 69, 73, 77, 81, 89, 92, 97, 103, 109, 110, 111, 132, 143, 146, 152, 153, 154, 157, 160, 162, 163, 166, 167, 168, 169, 173, 179, 182, 210, 213, 215, 216, 240, 263, 266, 282, 286, 301, 307, 311, 312, 322, 335, 350, 361, 363, 364, 372, 377], "rsn": [2, 21, 87, 127, 146, 189, 199], "fetch_atlas_smith_2009": [2, 21, 87], "rsn10": [2, 21, 87, 199], "smith_2009": 2, "pnas_smith09_rsn10": 2, "It": [2, 3, 6, 9, 14, 15, 22, 34, 41, 42, 44, 48, 51, 61, 62, 65, 66, 71, 75, 77, 81, 86, 89, 94, 98, 100, 101, 108, 112, 113, 114, 118, 122, 125, 126, 128, 139, 140, 141, 142, 146, 147, 148, 153, 154, 156, 157, 158, 160, 161, 163, 166, 167, 168, 169, 171, 172, 173, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400, 401, 402, 416], "nifti": [2, 4, 10, 11, 16, 18, 25, 29, 30, 32, 34, 35, 36, 41, 47, 48, 49, 52, 53, 54, 56, 58, 77, 79, 84, 86, 89, 91, 92, 94, 95, 102, 104, 105, 113, 120, 138, 144, 146, 148, 152, 153, 161, 168, 170, 188, 189, 190, 191, 192, 193, 194, 196, 197, 198, 199, 202, 207, 210, 214, 215, 216, 219, 220, 225, 241, 242, 246, 247, 248, 249, 282, 283, 286, 290, 291, 292, 296, 299, 362, 384, 387, 401, 415, 417], "load": [2, 4, 6, 8, 21, 23, 27, 49, 52, 53, 54, 58, 61, 62, 64, 67, 69, 70, 77, 88, 89, 91, 93, 102, 103, 104, 105, 106, 107, 108, 110, 112, 125, 127, 130, 132, 141, 142, 144, 146, 149, 152, 156, 157, 160, 161, 170, 172, 186, 187, 190, 192, 194, 195, 196, 199, 200, 204, 205, 206, 207, 210, 211, 212, 215, 216, 219, 220, 221, 223, 225, 230, 231, 233, 234, 235, 236, 237, 238, 248, 249, 266, 280, 291, 292, 294, 304, 305, 359, 375, 377, 378, 382, 399, 400, 406, 415, 417], "memori": [2, 3, 4, 5, 6, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 75, 76, 77, 78, 79, 80, 81, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 124, 132, 133, 146, 150, 151, 160, 172, 173, 179, 230, 241, 242, 243, 244, 246, 247, 248, 249, 251, 256, 263, 266, 276, 282, 286, 296, 297, 308, 309, 310, 311, 312, 314, 315, 316, 317, 318, 319, 324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 380, 384, 385, 386, 396, 415], "its": [2, 3, 15, 19, 26, 29, 30, 31, 32, 33, 34, 35, 36, 40, 44, 48, 50, 56, 66, 69, 84, 88, 89, 90, 92, 94, 98, 100, 108, 113, 114, 124, 127, 135, 138, 140, 142, 144, 146, 147, 150, 152, 153, 154, 156, 158, 159, 160, 161, 163, 165, 166, 173, 185, 198, 200, 210, 221, 222, 223, 224, 241, 242, 243, 244, 246, 247, 248, 249, 250, 254, 263, 265, 270, 276, 277, 278, 280, 291, 357, 358, 359, 362, 364, 365, 368, 370, 371, 372, 373, 374, 375, 376, 383, 384, 385, 386, 410], "shape": [2, 3, 20, 23, 25, 40, 41, 43, 47, 49, 50, 51, 53, 54, 55, 56, 58, 61, 64, 65, 66, 67, 68, 69, 71, 84, 91, 93, 94, 98, 100, 102, 103, 105, 106, 107, 108, 113, 140, 141, 146, 148, 150, 151, 153, 156, 162, 163, 166, 168, 170, 173, 178, 179, 180, 182, 184, 185, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 201, 202, 219, 225, 241, 242, 243, 244, 246, 247, 248, 249, 250, 251, 253, 254, 255, 256, 259, 263, 264, 265, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 278, 281, 282, 283, 286, 287, 288, 292, 293, 296, 297, 303, 304, 305, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 354, 355, 359, 360, 368, 378, 381, 383, 384, 385, 386, 389, 390, 391, 392, 397, 398, 417], "load_img": [2, 36, 93, 94, 107, 125, 146, 171, 172], "91": [2, 27, 30, 33, 42, 43, 44, 56, 72, 77, 91, 102, 141, 146, 188, 199], "109": [2, 33, 41, 43, 56, 91, 141, 146, 188, 199], "note": [2, 3, 4, 6, 14, 15, 20, 23, 42, 43, 44, 48, 49, 52, 54, 55, 56, 58, 64, 65, 66, 67, 69, 70, 75, 76, 79, 84, 86, 91, 94, 95, 101, 104, 108, 111, 113, 114, 142, 146, 147, 148, 152, 158, 159, 160, 161, 162, 163, 168, 169, 171, 172, 173, 178, 180, 185, 186, 188, 189, 190, 193, 198, 199, 202, 207, 210, 211, 212, 214, 215, 218, 220, 221, 222, 223, 224, 225, 226, 232, 233, 234, 237, 241, 242, 243, 244, 245, 246, 247, 250, 253, 254, 255, 256, 258, 259, 260, 261, 263, 276, 279, 281, 287, 290, 292, 293, 296, 299, 303, 304, 305, 310, 313, 324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 353, 357, 358, 362, 364, 371, 372, 383, 384, 387, 397, 398, 401, 402, 415], "index": [2, 6, 12, 20, 22, 23, 33, 40, 41, 50, 55, 56, 64, 65, 66, 69, 72, 87, 88, 100, 101, 103, 124, 142, 146, 151, 168, 188, 189, 197, 198, 200, 208, 227, 240, 241, 242, 243, 244, 253, 255, 256, 270, 288, 296, 304, 305, 307, 308, 309, 310, 311, 312, 374, 386, 388, 397, 401], "start": [2, 6, 30, 40, 49, 56, 58, 69, 71, 84, 91, 94, 144, 146, 153, 160, 161, 166, 167, 169, 173, 201, 263, 265, 270, 307, 308, 309, 310, 311, 312, 322, 386, 401, 417], "first_rsn": 2, "index_img": [2, 3, 20, 29, 30, 31, 32, 33, 34, 36, 37, 49, 50, 87, 89, 92, 98, 102, 104, 148, 151, 168, 172, 173, 282, 289], "0x7f1272b9a5c0": 2, "If": [2, 9, 14, 15, 24, 32, 35, 36, 40, 41, 42, 43, 47, 48, 49, 51, 52, 53, 54, 55, 56, 58, 61, 62, 70, 75, 79, 84, 86, 89, 91, 92, 94, 98, 99, 100, 101, 102, 103, 104, 105, 106, 108, 110, 113, 114, 132, 139, 140, 142, 146, 147, 151, 153, 154, 156, 158, 160, 161, 163, 166, 168, 169, 171, 172, 173, 178, 179, 180, 182, 184, 185, 186, 187, 192, 193, 194, 195, 197, 204, 205, 206, 207, 211, 212, 214, 215, 216, 219, 221, 223, 225, 226, 231, 233, 234, 235, 236, 237, 238, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 253, 254, 255, 256, 259, 260, 263, 270, 272, 276, 277, 278, 279, 280, 281, 282, 286, 287, 291, 293, 294, 295, 296, 297, 298, 300, 301, 303, 304, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 353, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 378, 379, 380, 382, 383, 384, 385, 386, 387, 388, 389, 391, 393, 394, 395, 396, 397, 401, 415, 416], "want": [2, 6, 9, 14, 15, 42, 49, 54, 66, 71, 72, 78, 86, 94, 98, 100, 110, 113, 114, 147, 154, 156, 160, 161, 163, 168, 169, 172, 173, 221, 223, 246, 247, 296, 305, 375, 382, 415, 416], "iter_img": [2, 48, 168, 172, 288], "them": [2, 3, 6, 14, 19, 30, 32, 39, 42, 44, 47, 49, 50, 54, 55, 58, 62, 64, 65, 67, 69, 71, 72, 79, 80, 86, 89, 94, 100, 103, 104, 108, 110, 113, 114, 118, 120, 132, 138, 139, 141, 144, 146, 147, 148, 152, 154, 156, 161, 163, 166, 167, 171, 173, 188, 221, 223, 266, 321, 322, 384, 415], "Then": [2, 3, 14, 30, 40, 42, 50, 51, 55, 62, 63, 69, 94, 95, 151, 153, 155, 156, 161, 168, 172, 173, 178, 180, 212, 383, 416], "give": [2, 3, 4, 9, 14, 15, 16, 24, 29, 33, 42, 49, 52, 54, 55, 56, 58, 69, 84, 91, 94, 98, 103, 113, 125, 127, 142, 146, 147, 148, 150, 152, 153, 154, 155, 156, 158, 160, 168, 172, 173, 214, 215, 223, 241, 242, 243, 244, 245, 248, 249, 250, 258, 263, 265, 270, 276, 278, 293, 298, 301, 308, 309, 310, 311, 312, 313, 320, 369, 374, 375, 383, 384, 386, 388, 391, 392, 401], "few": [2, 14, 15, 25, 39, 40, 49, 77, 81, 91, 102, 130, 131, 146, 152, 154, 157, 159, 161, 162, 169, 172, 384, 401, 417], "argument": [2, 6, 9, 14, 15, 17, 43, 47, 48, 55, 68, 70, 80, 89, 92, 94, 114, 124, 125, 127, 128, 129, 130, 132, 133, 135, 138, 139, 140, 141, 142, 144, 146, 153, 154, 156, 158, 160, 161, 162, 165, 171, 182, 186, 194, 195, 221, 232, 241, 242, 243, 244, 245, 266, 276, 278, 292, 295, 305, 318, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 363, 365, 367, 369, 375, 376, 380, 415], "compact": [2, 94, 172, 212], "img": [2, 4, 6, 10, 50, 62, 71, 77, 79, 84, 90, 101, 105, 127, 135, 146, 151, 171, 245, 248, 249, 276, 278, 280, 281, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 295, 296, 297, 298, 299, 300, 307, 308, 309, 310, 311, 312, 313, 324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 353, 356, 358, 365, 366, 384, 386, 389, 390, 391, 392, 394, 401, 415], "display_mod": [2, 6, 9, 13, 14, 15, 18, 30, 31, 36, 39, 40, 42, 43, 48, 49, 53, 58, 62, 65, 66, 70, 71, 75, 76, 79, 87, 88, 92, 101, 102, 105, 106, 107, 113, 125, 142, 146, 263, 276, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 357, 359, 362, 364, 365, 368, 370, 371, 372, 395, 415], "z": [2, 13, 14, 15, 18, 24, 30, 33, 36, 40, 42, 43, 48, 52, 54, 58, 61, 62, 65, 66, 67, 69, 70, 71, 75, 76, 79, 80, 81, 84, 87, 88, 94, 101, 102, 105, 106, 108, 111, 127, 129, 133, 144, 146, 163, 166, 169, 172, 173, 196, 221, 251, 258, 262, 263, 276, 279, 283, 303, 304, 305, 308, 309, 310, 311, 312, 322, 323, 325, 326, 330, 331, 332, 333, 334, 341, 342, 347, 348, 349, 350, 351, 352, 353, 356, 357, 358, 359, 362, 364, 365, 368, 370, 371, 372, 373, 374, 375, 376, 379, 382, 387, 394, 395, 397, 415], "cut_coord": [2, 6, 9, 15, 16, 17, 18, 20, 30, 31, 36, 39, 40, 42, 43, 48, 49, 50, 55, 61, 65, 66, 67, 70, 71, 75, 77, 79, 81, 86, 87, 88, 90, 92, 93, 94, 100, 102, 105, 106, 107, 120, 146, 151, 324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 353, 357, 362, 365, 370, 371, 372, 379, 415], "1": [2, 3, 5, 6, 9, 10, 11, 12, 15, 18, 21, 22, 23, 24, 27, 29, 30, 32, 33, 34, 35, 36, 37, 39, 40, 41, 42, 43, 44, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 61, 62, 63, 64, 65, 67, 68, 69, 70, 71, 72, 73, 75, 76, 77, 78, 79, 80, 81, 84, 85, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 111, 113, 114, 120, 122, 126, 127, 129, 132, 134, 135, 142, 144, 147, 151, 153, 154, 155, 156, 158, 159, 160, 163, 168, 169, 171, 173, 178, 179, 180, 182, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 233, 234, 235, 236, 237, 238, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 253, 254, 255, 256, 258, 263, 266, 270, 272, 276, 278, 280, 281, 285, 288, 290, 293, 296, 298, 304, 305, 308, 309, 310, 311, 312, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 358, 359, 364, 366, 368, 369, 370, 371, 373, 375, 376, 379, 384, 385, 386, 392, 397, 398, 401, 415], "colorbar": [2, 6, 9, 14, 20, 21, 23, 25, 26, 36, 37, 40, 48, 50, 51, 54, 57, 58, 62, 69, 70, 75, 76, 77, 79, 80, 86, 87, 88, 94, 101, 103, 105, 108, 118, 124, 127, 132, 133, 135, 139, 140, 141, 142, 143, 146, 151, 324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 357, 358, 359, 360, 362, 364, 365, 367, 368, 369, 370, 371, 372, 373, 375, 376, 378, 379, 380, 382, 415], "fals": [2, 6, 9, 14, 15, 17, 18, 20, 21, 22, 33, 34, 36, 37, 40, 41, 42, 43, 47, 48, 49, 50, 51, 54, 56, 57, 58, 62, 70, 72, 75, 76, 77, 79, 80, 81, 86, 87, 88, 89, 91, 92, 94, 99, 101, 102, 103, 105, 106, 114, 135, 138, 139, 140, 142, 144, 146, 151, 158, 162, 163, 166, 168, 173, 178, 180, 182, 184, 186, 192, 193, 194, 195, 204, 205, 206, 207, 210, 216, 219, 221, 223, 225, 241, 243, 246, 247, 248, 249, 258, 260, 263, 266, 276, 278, 279, 281, 282, 285, 294, 296, 297, 300, 301, 304, 308, 309, 310, 311, 312, 314, 315, 316, 317, 318, 319, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 354, 357, 359, 360, 362, 364, 365, 367, 368, 369, 370, 371, 373, 374, 375, 376, 379, 380, 382, 383, 384, 385, 386, 387, 391, 392, 394, 395, 396, 397, 415], "slice": [2, 3, 6, 9, 16, 36, 62, 89, 94, 100, 101, 105, 106, 108, 113, 131, 138, 140, 146, 158, 171, 173, 263, 276, 288, 324, 325, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 353, 365, 395, 417], "constructor": [2, 114, 255, 256, 288, 393], "desir": [2, 62, 169, 173, 248, 249, 262, 263, 265, 270, 276, 279, 301, 351, 352, 360, 384], "afterward": [2, 160, 169], "ll": [2, 6, 49, 58, 168, 246, 247], "follow": [2, 4, 9, 14, 18, 22, 29, 32, 34, 35, 36, 40, 41, 42, 47, 48, 49, 51, 52, 53, 54, 55, 56, 58, 61, 65, 66, 70, 89, 91, 92, 94, 98, 99, 100, 102, 103, 104, 105, 106, 110, 113, 114, 129, 132, 133, 134, 135, 136, 137, 141, 146, 147, 148, 151, 152, 158, 161, 162, 163, 166, 168, 169, 171, 225, 230, 232, 281, 287, 301, 303, 304, 305, 310, 314, 315, 316, 318, 380, 386, 397, 398, 415, 416], "same": [2, 3, 6, 14, 15, 21, 23, 34, 37, 40, 41, 47, 49, 50, 55, 58, 63, 64, 66, 69, 70, 71, 84, 86, 88, 94, 98, 100, 101, 102, 108, 114, 120, 127, 132, 138, 139, 140, 141, 142, 146, 147, 148, 151, 152, 153, 154, 158, 160, 161, 163, 165, 166, 171, 172, 173, 178, 179, 180, 182, 194, 195, 204, 206, 211, 212, 230, 241, 242, 243, 244, 246, 247, 248, 249, 263, 266, 276, 278, 281, 283, 292, 294, 296, 301, 304, 305, 307, 308, 310, 311, 312, 318, 320, 322, 328, 329, 330, 331, 332, 341, 342, 345, 346, 347, 348, 353, 357, 359, 360, 362, 364, 365, 369, 370, 371, 372, 380, 383, 384, 387, 391, 392, 394, 395, 397], "formula": [2, 123, 146, 160, 263, 276, 292, 360], "befor": [2, 15, 49, 55, 56, 89, 94, 98, 103, 113, 132, 135, 138, 140, 142, 144, 146, 150, 151, 153, 154, 156, 161, 162, 163, 165, 169, 171, 172, 173, 182, 221, 223, 248, 249, 263, 265, 270, 281, 285, 287, 304, 305, 309, 310, 312, 358, 373, 375, 376, 384, 389, 390, 397, 398, 415], "selected_volum": 2, "5": [2, 3, 6, 12, 18, 20, 22, 23, 24, 25, 27, 29, 30, 31, 32, 33, 34, 35, 36, 37, 40, 41, 42, 43, 44, 45, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 62, 63, 64, 65, 66, 67, 68, 69, 70, 72, 73, 75, 76, 77, 79, 81, 82, 87, 88, 89, 91, 94, 95, 96, 98, 99, 100, 101, 102, 103, 105, 106, 107, 108, 109, 111, 122, 129, 135, 140, 141, 142, 143, 147, 151, 153, 158, 159, 160, 163, 168, 172, 173, 189, 191, 194, 195, 197, 198, 201, 206, 207, 210, 211, 212, 216, 218, 220, 233, 236, 246, 247, 253, 255, 256, 281, 287, 288, 291, 304, 305, 315, 317, 318, 319, 320, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 353, 370, 371, 373, 375, 376, 378, 380, 381, 382, 396, 397, 398, 401, 415], "re": [2, 6, 21, 23, 40, 65, 66, 69, 71, 84, 114, 141, 146, 221, 233, 234, 235, 236, 237, 238, 253, 255, 256, 266, 387], "new": [2, 3, 10, 11, 20, 36, 49, 66, 72, 79, 84, 86, 94, 98, 102, 107, 111, 113, 119, 126, 127, 128, 129, 130, 143, 153, 154, 155, 156, 161, 166, 168, 169, 172, 173, 178, 180, 184, 185, 190, 193, 195, 198, 200, 201, 206, 207, 208, 212, 221, 223, 231, 233, 234, 235, 236, 237, 238, 241, 242, 243, 244, 246, 247, 248, 249, 255, 256, 263, 272, 276, 278, 280, 281, 290, 291, 292, 293, 294, 295, 296, 297, 300, 303, 304, 305, 307, 308, 309, 310, 311, 312, 314, 315, 316, 317, 318, 319, 322, 357, 358, 359, 360, 362, 364, 365, 366, 368, 369, 370, 371, 372, 373, 374, 375, 376, 384, 386, 387, 388, 393, 397, 401, 415], "thing": [2, 3, 56, 66, 150, 159, 160, 161, 168, 169, 173, 253, 281, 397, 415], "base": [2, 8, 20, 27, 28, 29, 34, 45, 47, 48, 49, 55, 60, 61, 62, 66, 67, 71, 73, 74, 81, 82, 88, 89, 91, 92, 97, 98, 105, 109, 110, 111, 114, 123, 127, 135, 138, 140, 143, 146, 147, 148, 149, 150, 152, 153, 156, 158, 159, 160, 161, 163, 164, 166, 167, 168, 169, 173, 179, 182, 187, 192, 198, 200, 207, 210, 211, 212, 213, 216, 217, 218, 221, 223, 225, 228, 229, 230, 231, 241, 242, 243, 244, 245, 247, 248, 249, 251, 259, 263, 266, 270, 272, 276, 278, 279, 280, 281, 282, 286, 288, 292, 297, 300, 303, 304, 305, 307, 311, 312, 316, 322, 323, 324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 357, 361, 370, 371, 372, 375, 376, 377, 379, 383, 384, 386, 387, 388, 393, 395, 397, 398, 399, 400, 401, 415, 416, 417], "confirm": [2, 29, 161], "match": [2, 6, 15, 41, 114, 135, 139, 140, 142, 146, 152, 158, 166, 170, 173, 188, 199, 221, 240, 241, 242, 243, 244, 246, 247, 248, 249, 263, 266, 276, 278, 282, 291, 293, 296, 301, 303, 309, 310, 314, 316, 317, 319, 370, 384, 387, 417], "previou": [2, 9, 14, 41, 49, 54, 62, 66, 77, 94, 141, 142, 146, 147, 150, 154, 156, 160, 163, 182, 241, 242, 243, 244, 248, 249, 308, 311, 384], "abov": [2, 3, 4, 14, 21, 33, 42, 48, 49, 56, 66, 69, 86, 94, 100, 114, 127, 146, 147, 148, 150, 152, 153, 158, 160, 161, 162, 166, 171, 172, 173, 188, 212, 233, 234, 237, 241, 242, 243, 244, 246, 247, 250, 253, 254, 255, 256, 296, 297, 304, 327, 328, 329, 330, 331, 332, 334, 337, 339, 341, 343, 345, 347, 349, 359, 370, 378, 380, 382, 384, 386, 396, 397], "show": [2, 4, 6, 9, 10, 11, 12, 13, 14, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 28, 29, 30, 31, 32, 34, 35, 36, 37, 41, 42, 43, 44, 45, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 61, 62, 63, 64, 65, 66, 67, 68, 69, 71, 72, 75, 76, 77, 78, 79, 80, 81, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 99, 101, 102, 103, 104, 105, 106, 107, 108, 110, 113, 127, 133, 138, 140, 142, 146, 147, 148, 151, 153, 154, 156, 158, 163, 165, 172, 173, 210, 222, 250, 263, 276, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 374, 378, 381, 386, 395, 415], "forc": [2, 94, 122, 146, 160, 173, 190, 199, 221, 222, 223, 224], "figur": [2, 4, 9, 12, 14, 15, 18, 22, 23, 24, 25, 30, 32, 34, 35, 36, 40, 41, 42, 43, 44, 48, 49, 51, 52, 56, 57, 62, 65, 66, 68, 70, 79, 84, 91, 94, 99, 100, 101, 105, 106, 108, 129, 138, 139, 142, 143, 144, 146, 161, 162, 163, 168, 172, 303, 324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 357, 358, 359, 360, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 382, 415], "when": [2, 3, 4, 8, 9, 16, 24, 27, 54, 66, 67, 68, 69, 75, 89, 91, 92, 94, 100, 102, 105, 106, 110, 113, 114, 120, 122, 126, 127, 128, 130, 133, 135, 138, 139, 142, 143, 144, 146, 147, 148, 150, 152, 153, 154, 155, 156, 158, 160, 161, 162, 163, 165, 166, 169, 172, 178, 188, 191, 197, 198, 214, 216, 221, 223, 241, 242, 243, 244, 245, 246, 247, 251, 252, 256, 257, 263, 276, 278, 296, 298, 304, 305, 308, 309, 310, 311, 312, 313, 322, 323, 325, 326, 354, 360, 364, 365, 370, 371, 372, 373, 375, 376, 377, 379, 380, 382, 384, 395, 396, 397, 401, 415], "outsid": [2, 4, 16, 66, 144, 146, 161, 173, 296, 297, 389, 390, 394, 401], "ipython": [2, 4, 16, 153, 168], "recap": [2, 4], "call": [2, 4, 6, 14, 15, 16, 33, 43, 48, 49, 50, 53, 54, 56, 58, 66, 69, 72, 76, 81, 87, 89, 91, 94, 98, 104, 113, 114, 135, 146, 147, 148, 150, 151, 153, 154, 158, 160, 161, 162, 163, 165, 166, 168, 171, 173, 177, 180, 182, 190, 202, 221, 223, 226, 247, 249, 252, 257, 263, 276, 291, 318, 359, 368, 384, 415], "differ": [2, 6, 9, 15, 19, 20, 21, 22, 23, 28, 29, 45, 46, 51, 52, 54, 55, 58, 59, 63, 66, 67, 68, 69, 70, 71, 72, 75, 79, 80, 81, 89, 91, 94, 98, 99, 100, 102, 103, 110, 111, 113, 133, 139, 141, 146, 148, 149, 151, 152, 153, 155, 156, 157, 158, 160, 161, 162, 163, 166, 168, 170, 171, 178, 180, 193, 202, 207, 210, 233, 234, 235, 236, 237, 238, 241, 243, 244, 246, 247, 255, 256, 259, 263, 265, 266, 270, 272, 276, 282, 286, 288, 293, 301, 304, 307, 309, 310, 311, 321, 324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 354, 355, 357, 359, 362, 364, 365, 369, 370, 371, 372, 377, 384, 386, 394, 401, 417], "flavor": [2, 168], "onli": [2, 3, 6, 13, 14, 19, 29, 31, 32, 33, 34, 36, 37, 40, 42, 43, 49, 51, 52, 54, 55, 58, 66, 69, 75, 79, 81, 84, 86, 91, 94, 98, 99, 100, 101, 103, 104, 108, 113, 114, 125, 130, 135, 140, 142, 143, 146, 147, 148, 150, 151, 153, 154, 155, 156, 158, 160, 161, 163, 165, 166, 168, 170, 171, 172, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400, 401, 415, 417], "multipl": [2, 6, 19, 42, 77, 79, 81, 101, 138, 139, 146, 149, 154, 156, 158, 161, 164, 166, 171, 172, 190, 240, 253, 271, 276, 278, 288, 291, 292, 308, 322, 333, 335, 338, 352, 357, 362, 365, 367, 370, 371, 372, 379, 415, 417], "detail": [2, 3, 8, 9, 12, 14, 15, 16, 19, 22, 23, 26, 28, 29, 31, 33, 39, 46, 48, 50, 52, 54, 58, 60, 62, 64, 67, 71, 72, 74, 81, 83, 95, 100, 101, 102, 103, 107, 110, 113, 114, 116, 127, 132, 135, 144, 146, 147, 150, 151, 153, 154, 155, 156, 158, 159, 160, 161, 164, 168, 169, 170, 171, 173, 175, 178, 186, 190, 194, 195, 198, 207, 212, 216, 218, 233, 234, 235, 236, 237, 238, 241, 242, 243, 244, 248, 249, 256, 263, 276, 281, 285, 293, 298, 299, 305, 307, 308, 309, 310, 311, 312, 322, 380, 383, 384, 386, 388, 406, 407, 415, 416], "input": [2, 3, 4, 6, 9, 14, 15, 23, 32, 43, 47, 48, 49, 54, 55, 57, 64, 67, 68, 71, 76, 77, 79, 80, 85, 88, 89, 92, 94, 98, 108, 113, 121, 122, 125, 126, 127, 128, 130, 131, 132, 135, 139, 141, 142, 143, 144, 146, 150, 153, 156, 158, 160, 161, 162, 166, 168, 170, 172, 173, 178, 179, 180, 181, 182, 183, 184, 185, 217, 218, 241, 242, 243, 244, 245, 246, 247, 248, 249, 258, 260, 262, 263, 265, 270, 271, 276, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 295, 296, 297, 298, 299, 300, 304, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 353, 357, 358, 364, 365, 367, 370, 371, 372, 379, 380, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 397, 401, 415, 417], "format": [2, 3, 21, 33, 40, 47, 49, 51, 56, 58, 61, 62, 67, 70, 71, 77, 79, 91, 93, 98, 100, 103, 107, 113, 139, 142, 144, 146, 161, 162, 173, 324, 325, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 357, 362, 364, 365, 371, 372, 373, 374, 375, 376, 381, 382, 399, 400, 401, 405], "given": [2, 3, 9, 14, 16, 44, 47, 50, 53, 54, 64, 65, 66, 69, 71, 79, 84, 86, 94, 95, 100, 104, 124, 126, 130, 135, 144, 146, 147, 150, 153, 154, 156, 158, 159, 160, 163, 166, 168, 169, 173, 178, 179, 180, 181, 182, 183, 185, 186, 187, 188, 194, 195, 215, 216, 218, 219, 225, 231, 240, 241, 242, 243, 244, 246, 247, 248, 249, 250, 251, 253, 254, 255, 256, 259, 260, 263, 266, 270, 276, 277, 278, 280, 282, 287, 290, 293, 296, 298, 300, 301, 304, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 357, 358, 359, 362, 364, 365, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 378, 379, 380, 382, 384, 385, 386, 387, 388, 389, 396, 398], "section": [2, 3, 4, 14, 39, 47, 48, 49, 56, 70, 94, 98, 100, 111, 112, 113, 127, 132, 142, 146, 147, 148, 150, 151, 153, 154, 156, 158, 161, 163, 165, 168, 169, 170, 173, 175, 221, 225, 353, 383, 393, 406, 407, 415], "name": [2, 3, 4, 6, 11, 14, 21, 22, 23, 26, 30, 32, 44, 51, 58, 62, 65, 72, 75, 76, 77, 79, 80, 91, 94, 100, 101, 103, 108, 113, 124, 133, 135, 140, 142, 144, 146, 150, 154, 158, 161, 162, 166, 169, 170, 173, 178, 179, 180, 188, 189, 191, 192, 194, 195, 196, 197, 198, 200, 201, 202, 204, 206, 216, 221, 223, 226, 227, 228, 229, 230, 239, 241, 242, 243, 244, 245, 246, 247, 248, 249, 261, 263, 264, 265, 266, 270, 276, 278, 281, 292, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 379, 383, 384, 385, 386, 387, 389, 395, 397, 417], "accept": [2, 3, 47, 65, 126, 127, 129, 132, 133, 135, 138, 139, 140, 141, 142, 143, 144, 146, 161, 162, 168, 171, 276, 278, 279, 301, 313, 314, 315, 316, 317, 318, 319, 357, 367, 369, 370, 371, 372, 379, 381, 391, 392], "either": [2, 4, 9, 32, 35, 36, 39, 40, 41, 42, 47, 51, 52, 53, 54, 55, 56, 58, 61, 70, 89, 91, 92, 94, 98, 99, 100, 102, 103, 104, 105, 106, 113, 132, 139, 141, 146, 148, 150, 161, 162, 166, 168, 171, 197, 198, 202, 210, 253, 255, 256, 263, 276, 279, 280, 327, 328, 329, 330, 331, 332, 334, 337, 339, 341, 343, 345, 347, 349, 357, 358, 359, 362, 363, 364, 367, 369, 370, 371, 372, 373, 374, 375, 376, 379, 386, 395, 399, 400, 401, 415], "hand": [2, 66, 69, 94, 160, 161, 168, 171, 173, 231], "break": [2, 83, 96, 110, 127, 146, 150, 158, 161, 202, 371, 377, 387], "down": [2, 70, 103, 150, 160, 161, 243], "other": [2, 4, 14, 23, 24, 31, 33, 36, 39, 40, 48, 56, 66, 69, 70, 94, 98, 100, 103, 104, 112, 113, 132, 135, 139, 146, 147, 148, 153, 154, 155, 157, 158, 160, 161, 162, 166, 168, 169, 171, 173, 178, 180, 207, 221, 227, 240, 243, 244, 248, 249, 253, 255, 256, 263, 265, 266, 270, 276, 278, 301, 302, 304, 305, 318, 322, 377, 415, 417], "concat_img": [2, 6, 11, 70, 71, 100, 126, 146, 172, 288], "group": [2, 3, 6, 14, 29, 30, 32, 33, 46, 57, 58, 59, 62, 74, 76, 77, 78, 79, 80, 97, 98, 101, 104, 105, 109, 110, 111, 129, 135, 146, 148, 149, 152, 153, 158, 163, 165, 166, 167, 168, 178, 179, 180, 190, 191, 196, 204, 206, 207, 218, 224, 241, 242, 243, 244, 245, 248, 249, 289, 301, 304, 307, 310, 322, 355, 358, 359, 369, 370, 372, 377, 417], "total": [2, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 75, 76, 77, 78, 79, 80, 81, 82, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 111, 149, 151, 153, 159, 197, 207, 247, 316, 317, 319, 370, 387, 417], "script": [2, 3, 4, 5, 6, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 75, 76, 77, 78, 79, 80, 81, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 141, 146, 155, 161, 168, 171, 172, 173, 415], "minut": [2, 3, 4, 5, 6, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 75, 76, 77, 78, 79, 80, 81, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 163, 216], "22": [2, 6, 7, 33, 36, 42, 43, 44, 45, 62, 65, 69, 73, 91, 102, 103, 107, 111, 122, 133, 142, 146, 192], "865": [2, 7], "second": [2, 3, 4, 5, 6, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 75, 82, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 97, 98, 99, 100, 102, 103, 104, 105, 106, 107, 109, 111, 150, 151, 159, 160, 161, 163, 164, 166, 173, 213, 215, 216, 230, 241, 242, 243, 244, 246, 247, 251, 258, 259, 263, 264, 265, 266, 267, 268, 269, 270, 272, 273, 274, 275, 276, 277, 278, 279, 281, 286, 292, 300, 303, 334, 335, 349, 358, 361, 364, 366, 372, 373, 374, 375, 376, 377, 382, 384, 386, 393, 395, 397, 401, 417], "estim": [2, 3, 4, 5, 6, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 41, 42, 43, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 59, 63, 65, 68, 70, 71, 72, 75, 78, 81, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 99, 100, 102, 103, 104, 105, 106, 107, 108, 110, 111, 113, 130, 138, 139, 144, 146, 147, 152, 155, 157, 158, 161, 163, 165, 166, 168, 169, 178, 179, 180, 182, 198, 202, 218, 225, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 253, 254, 255, 256, 259, 260, 263, 276, 278, 282, 303, 304, 305, 307, 308, 309, 310, 311, 312, 314, 315, 316, 318, 322, 369, 377, 383, 384, 385, 386, 408, 417], "usag": [2, 3, 4, 5, 6, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 75, 76, 77, 78, 79, 80, 81, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 126, 135, 139, 144, 146, 147, 161, 162, 165, 168, 169, 170, 218, 225, 230, 380, 404, 417], "135": [2, 33, 41, 72], "mb": [2, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 75, 76, 77, 78, 79, 80, 81, 82, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109], "sourc": [2, 3, 4, 5, 6, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 75, 76, 77, 78, 79, 80, 81, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 110, 147, 148, 152, 160, 161, 168, 169, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400, 401, 416], "plot_3d_and_4d_niimg": [2, 7], "jupyt": [2, 3, 4, 5, 6, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 75, 76, 77, 78, 79, 80, 81, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 110, 133, 135, 146, 153, 168, 173, 263, 276, 378, 379, 380, 381, 382, 393, 395, 415], "notebook": [2, 3, 4, 5, 6, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 75, 76, 77, 78, 79, 80, 81, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 110, 120, 132, 135, 146, 153, 168, 173, 263, 276, 305, 378, 379, 380, 381, 382, 393, 395, 415], "ipynb": [2, 3, 4, 5, 6, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 75, 76, 77, 78, 79, 80, 81, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108], "galleri": [2, 3, 4, 5, 6, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 75, 76, 77, 78, 79, 80, 81, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 110, 120, 122, 126, 127, 129, 146, 161, 415], "gener": [2, 3, 4, 5, 6, 9, 10, 11, 12, 13, 14, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 29, 30, 31, 32, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 60, 63, 65, 66, 67, 68, 69, 70, 71, 73, 74, 76, 78, 79, 80, 81, 82, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 98, 99, 100, 101, 102, 104, 105, 106, 107, 108, 110, 113, 132, 133, 135, 137, 138, 140, 142, 146, 153, 154, 156, 158, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 173, 190, 191, 193, 216, 226, 239, 241, 242, 243, 244, 245, 246, 247, 248, 249, 253, 255, 256, 263, 270, 276, 278, 279, 280, 281, 286, 292, 293, 303, 304, 305, 308, 310, 320, 322, 363, 367, 372, 373, 374, 375, 376, 377, 383, 384, 386, 393, 397, 405, 415, 416], "sphinx": [2, 3, 4, 5, 6, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 75, 76, 77, 78, 79, 80, 81, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 110, 120, 122, 126, 127, 129, 146, 161], "simpl": [3, 5, 25, 29, 31, 35, 37, 40, 47, 56, 60, 65, 67, 71, 73, 75, 76, 77, 79, 80, 83, 84, 87, 89, 91, 94, 96, 98, 100, 101, 110, 111, 113, 114, 125, 127, 132, 142, 146, 147, 148, 154, 156, 157, 160, 161, 162, 165, 166, 168, 172, 173, 178, 179, 180, 207, 209, 216, 241, 242, 243, 244, 245, 246, 247, 248, 249, 251, 254, 263, 276, 288, 293, 305, 307, 308, 309, 310, 311, 312, 358, 371, 372, 377, 383, 384, 385, 386, 393, 395, 417], "reproduc": [3, 32, 40, 41, 48, 51, 72, 98, 100, 111, 167, 216, 243, 244], "2001": [3, 31, 38, 98, 102, 111, 113, 157, 167, 171, 188, 210, 322, 417], "v": [3, 6, 24, 28, 35, 45, 51, 65, 66, 76, 79, 80, 89, 97, 98, 109, 110, 111, 153, 154, 158, 160, 161, 167, 201, 206, 210, 211, 214, 216, 221, 223, 224, 236, 241, 243, 245, 247, 286, 288, 291, 293, 294, 304, 307, 311, 322, 350, 365, 372, 377, 379, 398], "discrimin": [3, 29, 31, 51, 94, 99, 113, 153, 167, 168], "mask": [3, 8, 15, 20, 21, 23, 27, 29, 30, 31, 33, 34, 35, 39, 40, 42, 43, 44, 47, 48, 49, 50, 54, 55, 56, 64, 67, 70, 75, 77, 79, 83, 91, 92, 96, 102, 104, 105, 106, 110, 112, 114, 125, 126, 127, 129, 132, 135, 138, 140, 141, 142, 146, 150, 154, 157, 159, 167, 170, 171, 179, 207, 210, 211, 212, 216, 220, 221, 233, 234, 237, 241, 242, 243, 244, 246, 247, 248, 249, 258, 260, 263, 276, 278, 279, 280, 281, 286, 287, 288, 291, 293, 294, 298, 300, 304, 307, 308, 309, 310, 311, 312, 322, 324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 354, 355, 356, 357, 358, 362, 364, 366, 367, 371, 372, 377, 384, 385, 386, 388, 389, 390, 393, 395, 397, 401, 406, 415, 417], "ventral": [3, 16, 22, 32, 33, 38, 94, 98, 111, 113, 153, 167, 173, 210, 373, 375, 376], "stream": [3, 32, 113, 167, 173], "j": [3, 22, 23, 37, 41, 47, 49, 56, 68, 71, 76, 84, 98, 100, 102, 111, 114, 129, 132, 141, 146, 154, 155, 158, 159, 190, 192, 193, 196, 197, 198, 200, 201, 205, 206, 208, 211, 216, 218, 219, 220, 221, 223, 226, 236, 243, 244, 258, 278, 281, 304, 305, 322, 358, 397, 398, 415], "et": [3, 22, 23, 28, 44, 45, 48, 51, 58, 66, 72, 98, 99, 100, 102, 110, 127, 132, 146, 147, 148, 150, 151, 152, 153, 154, 155, 158, 159, 188, 197, 200, 204, 205, 206, 210, 219, 220, 241, 244, 247, 248, 281, 283, 288, 300, 307, 308, 311, 322, 350, 372, 377], "al": [3, 22, 23, 28, 44, 45, 48, 51, 58, 66, 72, 98, 99, 100, 102, 110, 127, 132, 146, 147, 148, 150, 151, 152, 153, 154, 155, 158, 159, 188, 197, 200, 204, 205, 206, 210, 219, 220, 241, 244, 247, 248, 281, 283, 288, 300, 307, 308, 311, 322, 350, 372, 377], "distribut": [3, 6, 22, 23, 32, 38, 48, 49, 55, 94, 98, 111, 139, 143, 146, 153, 158, 160, 163, 166, 200, 210, 251, 278, 322, 366], "overlap": [3, 32, 38, 54, 58, 89, 91, 92, 98, 111, 161, 166, 173, 210, 218, 309, 310, 312, 370], "represent": [3, 16, 32, 33, 36, 38, 52, 53, 56, 58, 62, 75, 77, 84, 94, 98, 100, 104, 111, 113, 149, 152, 158, 166, 168, 170, 172, 206, 210, 241, 242, 243, 244, 245, 246, 247, 248, 249, 263, 276, 281, 282, 285, 286, 287, 288, 289, 290, 291, 293, 295, 296, 297, 298, 299, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 353, 357, 358, 364, 365, 367, 370, 371, 372, 379, 380, 384, 386, 389, 390, 391, 392, 395, 401, 417], "tempor": [3, 6, 16, 32, 33, 38, 51, 55, 66, 68, 91, 94, 98, 101, 103, 111, 113, 132, 140, 146, 152, 153, 166, 170, 191, 210, 249, 263, 267, 268, 269, 270, 272, 273, 274, 275, 281, 304, 305, 307, 308, 309, 310, 311, 312, 386, 397, 417], "cortex": [3, 23, 32, 33, 38, 55, 58, 61, 69, 71, 75, 79, 80, 91, 98, 111, 151, 153, 158, 162, 163, 192, 198, 202, 204, 210, 218, 220], "scienc": [3, 23, 38, 48, 58, 98, 111, 152, 155, 158, 159, 168, 178, 188, 190, 193, 196, 199, 200, 204, 206, 207, 210, 211, 216, 218, 219, 220, 231, 236, 243, 244, 245, 304, 305, 322, 358, 398], "vol": [3, 48, 49, 98, 152, 245, 248], "293": [3, 33, 41, 66, 72, 98, 111, 210], "p": [3, 6, 37, 42, 48, 62, 64, 67, 72, 75, 76, 77, 79, 80, 81, 94, 98, 101, 102, 105, 106, 108, 111, 139, 146, 152, 158, 160, 163, 169, 178, 179, 182, 186, 191, 199, 201, 211, 218, 248, 250, 251, 259, 263, 276, 278, 279, 281, 303, 322, 394, 395, 397], "2425": [3, 98, 111, 210], "2430": [3, 98, 102, 111, 210], "meant": [3, 6, 104, 185, 251, 393, 414], "variou": [3, 20, 30, 31, 39, 48, 105, 106, 135, 138, 142, 146, 153, 155, 156, 161, 163, 166, 172, 190, 243, 244, 305, 384, 401], "step": [3, 11, 20, 33, 35, 37, 42, 44, 47, 49, 50, 55, 58, 61, 62, 64, 65, 66, 69, 79, 80, 89, 94, 98, 101, 108, 113, 130, 138, 144, 146, 147, 150, 151, 152, 153, 155, 156, 158, 160, 161, 166, 169, 170, 171, 172, 180, 187, 212, 225, 234, 237, 243, 244, 248, 249, 263, 278, 305, 308, 311, 314, 315, 316, 318, 384, 397, 417], "meta": [3, 14, 97, 100, 103, 109, 110, 114, 223, 286, 291, 292, 294, 364, 372, 377], "minimalist": 3, "strive": 3, "didact": [3, 125, 146, 154, 156, 161], "copi": [3, 10, 18, 20, 21, 33, 36, 40, 53, 88, 100, 110, 113, 135, 146, 160, 161, 168, 171, 225, 226, 248, 249, 284, 285, 286, 296, 297, 300, 307, 308, 311, 396], "analyz": [3, 33, 49, 60, 74, 94, 110, 152, 161, 163, 166, 170, 322, 417], "mani": [3, 10, 11, 15, 23, 36, 38, 39, 41, 42, 43, 48, 49, 51, 56, 71, 79, 86, 94, 98, 99, 100, 106, 114, 140, 146, 149, 150, 151, 153, 154, 155, 156, 159, 160, 163, 166, 168, 169, 172, 173, 180, 221, 223, 241, 242, 243, 244, 245, 278, 285, 322, 367, 391, 392, 401, 415], "unnecessari": [3, 256], "fetch_haxbi": [3, 15, 16, 18, 25, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 94, 98, 102, 113, 126, 146, 153, 161, 171], "directori": [3, 6, 62, 64, 94, 101, 108, 110, 150, 161, 168, 171, 179, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 240, 241, 242, 243, 244, 246, 247, 248, 249, 263, 266, 276, 282, 301, 303, 304, 305, 308, 309, 310, 311, 312, 314, 315, 316, 317, 318, 319, 366, 384, 385, 386], "while": [3, 4, 6, 48, 55, 56, 66, 84, 94, 98, 100, 101, 103, 108, 113, 120, 130, 132, 146, 152, 153, 158, 160, 161, 162, 168, 172, 173, 190, 241, 242, 243, 244, 270, 322], "310": [3, 33, 36, 41, 42, 44, 102], "mo": 3, "internet": [3, 14, 49, 152, 170, 175, 417], "By": [3, 14, 15, 25, 29, 33, 35, 70, 71, 139, 146, 154, 169, 173, 178, 179, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 225, 226, 227, 228, 229, 230, 231, 232, 241, 242, 243, 244, 246, 247, 248, 249, 263, 276, 282, 308, 309, 310, 311, 312, 314, 315, 316, 317, 318, 319, 357, 366, 368, 370, 371, 372, 379, 384, 385, 386, 389, 415], "2nd": [3, 25, 29, 30, 32, 33, 34, 35, 36, 37, 210], "fetch": [3, 9, 14, 19, 24, 29, 30, 32, 34, 35, 36, 37, 41, 58, 71, 85, 86, 87, 88, 91, 94, 103, 114, 126, 127, 129, 131, 135, 146, 149, 152, 170, 186, 193, 207, 208, 211, 214, 215, 216, 219, 221, 222, 223, 224, 225, 228, 230, 417], "haxby_dataset": [3, 15, 16, 18, 25, 29, 30, 32, 33, 34, 35, 36, 37, 38, 94, 98, 102, 113, 153, 171, 173], "func": [3, 6, 11, 15, 16, 18, 25, 29, 30, 31, 32, 33, 34, 35, 36, 37, 40, 41, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 58, 61, 62, 64, 65, 66, 67, 70, 85, 89, 91, 92, 94, 95, 98, 99, 100, 101, 102, 104, 108, 113, 140, 146, 151, 162, 171, 173, 187, 207, 210, 220, 228, 301, 304, 305], "each": [3, 6, 14, 15, 20, 21, 22, 24, 29, 34, 36, 37, 39, 40, 47, 48, 49, 50, 51, 55, 56, 58, 62, 64, 70, 71, 78, 80, 86, 88, 94, 98, 99, 100, 101, 102, 105, 108, 114, 127, 132, 133, 135, 138, 140, 146, 147, 148, 150, 151, 152, 153, 154, 155, 156, 158, 160, 161, 162, 163, 166, 168, 169, 171, 172, 173, 178, 179, 180, 182, 189, 200, 206, 207, 218, 221, 223, 231, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 253, 255, 256, 263, 265, 266, 270, 276, 278, 281, 287, 293, 298, 304, 305, 307, 308, 309, 310, 311, 312, 317, 319, 322, 324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 354, 357, 359, 362, 365, 366, 368, 369, 370, 371, 372, 373, 374, 375, 376, 383, 384, 385, 386, 387, 388, 389, 390, 391, 395, 397, 398, 400, 401, 415], "fmri_filenam": [3, 36, 37, 56, 94, 98, 113], "basic": [3, 7, 8, 11, 15, 16, 18, 25, 27, 29, 30, 32, 34, 35, 36, 41, 42, 48, 49, 52, 53, 56, 58, 69, 71, 75, 77, 85, 89, 91, 92, 94, 95, 98, 100, 102, 104, 105, 106, 160, 162, 163, 166, 169, 173, 194, 195, 263, 276, 298, 304, 305, 360, 365, 371, 377, 417], "inform": [3, 6, 11, 16, 18, 21, 23, 25, 29, 30, 32, 33, 34, 35, 36, 40, 41, 42, 48, 49, 51, 52, 53, 58, 61, 62, 66, 68, 72, 75, 77, 78, 85, 89, 91, 92, 94, 95, 100, 101, 102, 104, 105, 108, 111, 113, 114, 118, 129, 133, 143, 146, 147, 148, 151, 152, 153, 155, 157, 160, 161, 162, 165, 166, 168, 169, 171, 173, 178, 188, 189, 190, 191, 196, 198, 199, 201, 202, 210, 211, 218, 219, 220, 221, 223, 225, 233, 234, 236, 237, 241, 242, 243, 244, 245, 256, 263, 276, 278, 290, 296, 302, 303, 395, 397, 404, 416, 417], "haxby2001": [3, 16, 18, 25, 29, 30, 32, 34, 35, 36, 94, 102, 113, 171, 210], "subj2": [3, 16, 18, 25, 29, 30, 32, 34, 35, 36, 94, 102, 113], "bold": [3, 6, 16, 18, 25, 29, 30, 32, 34, 35, 36, 48, 65, 66, 76, 79, 94, 100, 101, 102, 108, 111, 113, 114, 135, 139, 146, 152, 153, 162, 164, 166, 171, 193, 210, 220, 266, 301, 304, 305, 398, 417], "One": [3, 6, 14, 34, 35, 48, 49, 56, 64, 71, 140, 146, 147, 148, 153, 154, 158, 160, 162, 163, 165, 169, 171, 173, 263, 296, 304, 305, 308, 310, 389], "wai": [3, 6, 33, 61, 62, 64, 66, 75, 76, 84, 98, 108, 111, 113, 114, 139, 140, 142, 146, 147, 149, 152, 153, 154, 156, 159, 160, 161, 162, 163, 166, 168, 171, 173, 223, 243, 244, 253, 255, 256, 301, 358, 383, 415, 416], "plot_epi": [3, 25, 49, 89, 94, 95, 139, 142, 146, 372, 415], "previous": [3, 23, 98, 113, 135, 138, 142, 144, 146, 153, 163], "becaus": [3, 6, 11, 15, 18, 30, 31, 32, 36, 39, 42, 43, 44, 54, 66, 70, 71, 79, 84, 101, 102, 135, 146, 148, 153, 158, 160, 161, 163, 169, 221, 246, 247, 401], "thei": [3, 6, 24, 39, 42, 43, 44, 47, 48, 49, 65, 66, 69, 71, 92, 94, 98, 108, 113, 114, 142, 144, 146, 152, 155, 156, 158, 160, 161, 163, 166, 169, 171, 173, 202, 210, 221, 226, 263, 266, 276, 278, 282, 296, 309, 310, 312, 360, 387, 415], "consist": [3, 6, 34, 40, 44, 66, 69, 108, 113, 125, 131, 132, 133, 142, 146, 153, 154, 157, 158, 160, 161, 163, 166, 180, 190, 218, 247, 309, 383, 385, 388], "epi": [3, 6, 11, 15, 25, 30, 31, 92, 94, 95, 104, 166, 168, 172, 173, 241, 242, 243, 244, 248, 249, 308, 311, 316, 362, 372, 384, 415], "cannot": [3, 9, 10, 11, 36, 48, 49, 51, 56, 79, 86, 92, 94, 102, 114, 132, 144, 146, 147, 153, 156, 161, 173, 180, 379, 380, 382], "directli": [3, 6, 32, 33, 47, 48, 51, 64, 86, 89, 108, 124, 128, 130, 132, 146, 150, 153, 156, 163, 168, 171, 173, 221, 266, 322, 370], "just": [3, 4, 6, 14, 21, 40, 42, 44, 49, 50, 51, 56, 58, 65, 66, 71, 75, 76, 77, 79, 81, 87, 91, 98, 100, 101, 113, 124, 146, 151, 153, 160, 163, 169, 173, 263, 276, 281, 298, 301, 304, 370, 371, 372, 379, 395, 397, 401, 415], "mean_img": [3, 6, 15, 16, 18, 25, 30, 31, 33, 36, 49, 64, 67, 70, 71, 85, 89, 92, 94, 95, 102, 104, 172, 292], "view_img": [3, 29, 132, 133, 141, 144, 146, 153, 415], "none": [3, 14, 15, 32, 33, 36, 40, 43, 44, 49, 53, 54, 56, 58, 62, 66, 68, 77, 79, 89, 91, 92, 94, 95, 100, 103, 107, 114, 122, 132, 135, 139, 144, 146, 168, 173, 178, 179, 180, 182, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 263, 265, 266, 270, 272, 276, 277, 278, 279, 280, 281, 282, 287, 291, 293, 294, 295, 296, 298, 300, 301, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 401, 415], "miniconda3": [3, 16, 20, 21, 23, 29, 31, 39, 43, 48, 50, 54, 58, 92, 102, 103, 104, 105, 106], "env": [3, 16, 20, 21, 23, 29, 31, 39, 43, 48, 50, 54, 58, 92, 102, 103, 104, 105, 106], "dev": [3, 16, 20, 21, 23, 29, 31, 39, 43, 48, 50, 54, 58, 92, 102, 103, 104, 105, 106, 161, 168, 169, 210, 322], "lib": [3, 16, 20, 21, 23, 29, 31, 39, 43, 48, 50, 54, 58, 92, 102, 103, 104, 105, 106], "python3": [3, 16, 20, 21, 23, 29, 31, 39, 43, 48, 50, 54, 58, 92, 102, 103, 104, 105, 106, 133, 135, 146, 161, 168], "site": [3, 16, 20, 21, 23, 29, 31, 39, 43, 48, 50, 54, 58, 92, 102, 103, 104, 105, 106, 186, 187], "numpi": [3, 5, 6, 9, 10, 11, 12, 14, 16, 20, 21, 22, 23, 24, 29, 30, 32, 33, 34, 35, 36, 40, 41, 42, 43, 44, 47, 48, 49, 50, 51, 53, 54, 55, 56, 57, 58, 61, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 75, 77, 79, 80, 84, 86, 87, 89, 94, 98, 100, 102, 103, 104, 105, 106, 108, 118, 123, 127, 129, 132, 135, 138, 140, 142, 146, 150, 151, 153, 160, 168, 169, 171, 172, 178, 179, 180, 181, 182, 183, 184, 185, 192, 193, 198, 200, 204, 205, 206, 207, 241, 242, 243, 244, 246, 247, 248, 249, 253, 255, 256, 259, 263, 265, 270, 272, 276, 281, 282, 283, 286, 287, 288, 292, 293, 294, 296, 298, 304, 305, 307, 308, 309, 310, 311, 312, 313, 314, 316, 317, 319, 321, 322, 326, 327, 328, 329, 330, 331, 332, 334, 337, 339, 341, 343, 345, 347, 349, 354, 355, 357, 359, 360, 362, 364, 366, 368, 369, 372, 373, 374, 375, 376, 382, 384, 385, 386, 387, 388, 389, 390, 391, 392, 395, 396, 397, 398, 399, 400, 401], "core": [3, 16, 20, 21, 29, 42, 43, 48, 50, 54, 58, 160, 161, 168, 169, 180, 416], "fromnumer": [3, 16, 29], "758": [3, 16, 29], "userwarn": [3, 9, 10, 11, 15, 16, 18, 20, 21, 29, 30, 31, 32, 33, 34, 35, 36, 39, 43, 47, 48, 49, 50, 52, 54, 57, 61, 62, 64, 71, 77, 78, 79, 84, 86, 87, 88, 91, 92, 94, 95, 98, 100, 101, 103, 108], "warn": [3, 9, 11, 16, 20, 21, 23, 29, 48, 50, 54, 71, 103, 132, 133, 135, 140, 142, 144, 146, 153, 270, 283, 307, 308, 309, 310, 311, 312, 377, 386], "partit": [3, 16, 29, 40], "ignor": [3, 16, 21, 29, 48, 50, 71, 103, 133, 138, 146, 221, 223, 227, 241, 242, 243, 244, 263, 270, 276, 278, 301, 304, 309, 367, 383, 385, 401], "maskedarrai": [3, 16, 29], "kth": [3, 16], "axi": [3, 11, 12, 16, 22, 23, 25, 30, 34, 38, 40, 41, 44, 47, 50, 58, 84, 85, 94, 103, 104, 107, 142, 144, 146, 151, 172, 190, 241, 242, 243, 244, 246, 247, 271, 296, 298, 323, 325, 326, 353, 360], "kind": [3, 16, 47, 50, 54, 56, 58, 79, 113, 128, 146, 147, 151, 154, 160, 166, 178, 401, 415], "These": [3, 4, 6, 15, 55, 58, 60, 72, 74, 77, 79, 81, 89, 94, 107, 110, 113, 135, 138, 139, 142, 146, 153, 156, 157, 159, 160, 161, 165, 166, 168, 173, 193, 204, 206, 239, 409, 415, 416], "realli": [3, 70, 133, 146, 153, 168, 305], "love": 3, "learn": [3, 21, 34, 36, 44, 46, 52, 53, 56, 57, 58, 59, 94, 97, 102, 104, 109, 110, 111, 112, 114, 118, 120, 125, 127, 128, 129, 130, 132, 135, 140, 142, 146, 147, 148, 149, 150, 153, 154, 155, 157, 158, 160, 161, 166, 167, 169, 174, 178, 179, 182, 196, 207, 210, 219, 241, 242, 243, 244, 245, 248, 249, 286, 288, 289, 293, 307, 308, 309, 310, 311, 312, 335, 342, 355, 356, 357, 359, 362, 369, 370, 371, 372, 377, 384, 386, 416, 417], "matric": [3, 8, 27, 41, 47, 50, 51, 56, 60, 64, 67, 71, 73, 80, 99, 110, 120, 125, 128, 129, 139, 140, 142, 146, 147, 148, 149, 160, 162, 168, 170, 171, 172, 174, 178, 179, 180, 182, 185, 218, 253, 255, 256, 263, 270, 296, 361, 369, 373, 377, 412, 417], "actual": [3, 6, 42, 66, 68, 71, 77, 86, 105, 160, 161, 163, 166, 168, 171, 180, 225, 263, 276, 279, 395], "fortun": [3, 68], "later": [3, 6, 9, 22, 23, 40, 62, 69, 71, 91, 100, 101, 103, 163, 171, 192, 194, 195, 285, 354, 357, 362, 364, 365, 367, 371, 372, 373, 375, 376, 393, 415], "automat": [3, 15, 16, 19, 22, 23, 33, 34, 40, 54, 89, 92, 94, 111, 112, 118, 125, 127, 139, 140, 141, 146, 151, 158, 171, 172, 173, 192, 200, 241, 242, 243, 244, 246, 247, 248, 249, 263, 276, 278, 296, 303, 304, 305, 310, 322, 333, 353, 357, 362, 365, 370, 371, 372, 379, 384, 386, 388, 415, 417], "transform": [3, 23, 24, 40, 41, 48, 49, 50, 51, 53, 54, 66, 69, 71, 84, 91, 92, 94, 98, 99, 100, 103, 108, 111, 113, 128, 129, 133, 135, 137, 138, 139, 140, 142, 144, 146, 150, 151, 156, 163, 166, 170, 171, 178, 201, 219, 241, 242, 243, 244, 248, 249, 263, 276, 279, 283, 294, 296, 304, 307, 308, 309, 310, 311, 312, 383, 384, 385, 386, 397, 401, 417], "all": [3, 4, 6, 8, 15, 19, 23, 27, 30, 32, 35, 36, 39, 40, 41, 42, 43, 44, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 61, 64, 66, 67, 69, 70, 71, 72, 76, 77, 79, 80, 87, 89, 91, 92, 94, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 110, 111, 113, 114, 120, 125, 132, 135, 138, 140, 142, 143, 146, 147, 148, 150, 151, 152, 154, 156, 158, 160, 161, 163, 165, 168, 169, 171, 172, 173, 179, 180, 182, 186, 187, 189, 190, 191, 207, 215, 216, 219, 221, 224, 225, 226, 231, 232, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 253, 255, 256, 258, 263, 266, 272, 276, 277, 278, 281, 282, 287, 292, 293, 296, 297, 298, 301, 302, 303, 304, 305, 308, 309, 310, 311, 312, 317, 318, 319, 320, 322, 324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 353, 357, 359, 360, 362, 364, 365, 367, 368, 370, 371, 372, 374, 377, 384, 386, 389, 395, 397, 401, 412, 415, 416], "do": [3, 6, 9, 22, 24, 25, 30, 31, 34, 40, 42, 49, 50, 51, 57, 61, 64, 65, 66, 67, 68, 70, 75, 77, 80, 94, 98, 100, 101, 106, 108, 113, 129, 133, 138, 142, 146, 147, 151, 152, 153, 154, 156, 158, 160, 163, 168, 169, 171, 172, 173, 178, 188, 212, 241, 242, 243, 244, 245, 246, 247, 248, 249, 263, 272, 276, 278, 281, 293, 308, 309, 310, 311, 312, 317, 318, 319, 384, 397, 401, 415], "defin": [3, 6, 21, 23, 29, 30, 32, 33, 36, 37, 42, 47, 49, 54, 58, 61, 64, 66, 67, 69, 71, 72, 76, 77, 79, 80, 81, 91, 98, 101, 111, 139, 140, 141, 142, 146, 148, 150, 151, 152, 153, 158, 161, 162, 163, 165, 166, 168, 172, 173, 188, 192, 206, 218, 220, 241, 242, 243, 244, 246, 247, 250, 254, 258, 263, 265, 270, 296, 304, 358, 367, 373, 375, 376, 386, 387, 388, 389, 390, 391, 392, 408], "vt": [3, 18, 94], "mask_filenam": [3, 30, 32, 35, 39, 98, 102, 113, 153], "mask_vt": [3, 15, 16, 18, 30, 32, 94, 98, 113, 153, 171, 210], "anatom": [3, 6, 11, 15, 17, 18, 22, 23, 25, 30, 32, 36, 94, 102, 111, 114, 128, 146, 151, 158, 166, 173, 188, 190, 192, 200, 207, 210, 211, 214, 216, 221, 304, 357, 370, 372, 379, 415], "background": [3, 6, 8, 14, 15, 16, 22, 23, 27, 30, 31, 40, 44, 49, 56, 69, 91, 92, 94, 104, 110, 113, 123, 125, 127, 128, 129, 130, 132, 135, 138, 144, 146, 161, 166, 172, 173, 188, 194, 195, 197, 198, 201, 202, 214, 220, 241, 242, 243, 244, 248, 249, 263, 276, 308, 309, 311, 314, 317, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 354, 357, 359, 362, 364, 365, 367, 368, 370, 371, 372, 373, 374, 375, 376, 377, 379, 380, 382, 384, 387, 389, 390, 395, 415], "plot_roi": [3, 10, 17, 19, 25, 49, 66, 86, 89, 92, 94, 131, 138, 139, 144, 146, 148, 172, 173, 370, 415], "bg_img": [3, 6, 16, 17, 29, 30, 33, 36, 40, 42, 64, 67, 70, 71, 75, 88, 93, 113, 129, 135, 141, 146, 153, 173, 263, 276, 365, 370, 371, 372, 379, 395], "anat": [3, 6, 15, 16, 17, 18, 25, 29, 30, 32, 42, 43, 94, 113, 153, 171, 173, 202, 210, 214, 216, 228, 229, 301], "cmap": [3, 9, 11, 12, 19, 20, 22, 23, 35, 36, 38, 40, 41, 42, 44, 50, 53, 76, 77, 79, 80, 81, 86, 102, 105, 106, 133, 135, 144, 146, 151, 214, 215, 216, 357, 358, 362, 363, 364, 367, 369, 370, 371, 372, 373, 374, 375, 376, 379, 380, 382, 415], "pair": [3, 74, 82, 86, 98, 110, 114, 153, 154, 165, 216, 219, 221, 241, 242, 243, 244, 246, 247, 276, 302, 303, 304, 305, 334, 361, 364, 369, 377, 385, 401], "0x7f12729f2920": 3, "convert": [3, 6, 10, 11, 20, 21, 36, 42, 48, 49, 50, 54, 66, 79, 86, 94, 98, 107, 108, 113, 135, 140, 142, 144, 146, 151, 153, 158, 166, 172, 261, 282, 283, 291, 308, 309, 310, 311, 312], "appli": [3, 29, 31, 32, 42, 44, 50, 56, 61, 64, 66, 69, 79, 80, 89, 92, 94, 98, 100, 101, 103, 104, 112, 114, 123, 125, 129, 132, 135, 140, 141, 142, 146, 147, 148, 149, 152, 154, 155, 156, 158, 162, 165, 166, 170, 178, 186, 221, 240, 241, 242, 243, 244, 248, 249, 254, 263, 276, 278, 279, 280, 281, 292, 298, 300, 301, 304, 305, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 318, 321, 324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 354, 357, 367, 370, 371, 372, 373, 375, 376, 379, 383, 384, 385, 386, 388, 389, 390, 394, 396, 397, 401, 406, 417], "instanc": [3, 4, 6, 15, 31, 49, 51, 66, 68, 86, 129, 135, 142, 146, 147, 148, 150, 152, 153, 161, 162, 163, 165, 166, 168, 171, 172, 178, 179, 180, 185, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 253, 255, 256, 259, 260, 263, 270, 272, 276, 278, 282, 307, 308, 309, 310, 311, 312, 314, 315, 316, 317, 318, 319, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 369, 373, 374, 375, 376, 383, 384, 385, 386], "csv": [3, 6, 29, 40, 41, 47, 55, 113, 122, 146, 148, 153, 186, 187, 217, 225, 248, 249, 263, 281, 307, 308, 309, 310, 311, 312, 384, 386, 397], "file": [3, 6, 7, 9, 14, 22, 23, 27, 30, 32, 33, 34, 35, 36, 40, 41, 45, 47, 48, 49, 51, 53, 55, 59, 60, 62, 64, 66, 73, 82, 86, 91, 92, 94, 96, 98, 100, 101, 108, 109, 110, 111, 113, 114, 120, 122, 127, 131, 132, 133, 134, 135, 138, 142, 143, 144, 146, 147, 148, 150, 151, 153, 161, 162, 169, 170, 173, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 239, 241, 242, 248, 249, 263, 266, 276, 281, 291, 292, 294, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 357, 358, 359, 360, 361, 362, 363, 364, 365, 367, 368, 370, 371, 372, 373, 374, 375, 376, 378, 380, 381, 382, 384, 386, 393, 395, 397, 399, 400, 401, 416, 417], "separ": [3, 34, 48, 50, 64, 66, 67, 83, 88, 94, 96, 100, 110, 125, 142, 144, 146, 151, 152, 154, 158, 161, 163, 166, 169, 171, 172, 185, 202, 293, 304, 323, 325, 326, 353, 369, 371, 377, 386, 387, 388], "space": [3, 6, 15, 22, 23, 28, 40, 45, 48, 51, 55, 60, 62, 66, 69, 73, 84, 99, 101, 108, 110, 113, 114, 125, 127, 129, 132, 135, 140, 146, 148, 161, 162, 163, 165, 166, 173, 189, 191, 196, 198, 200, 202, 204, 205, 206, 221, 223, 225, 229, 231, 247, 248, 249, 263, 266, 270, 281, 282, 283, 293, 296, 307, 308, 311, 312, 324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 353, 354, 355, 357, 358, 359, 362, 364, 365, 368, 370, 371, 372, 377, 378, 379, 381, 383, 385, 397, 401], "panda": [3, 6, 29, 30, 31, 32, 33, 34, 35, 36, 37, 62, 63, 64, 65, 66, 67, 69, 70, 71, 72, 75, 76, 77, 78, 79, 80, 81, 94, 98, 100, 102, 113, 114, 129, 132, 138, 140, 142, 143, 146, 153, 178, 186, 192, 193, 204, 205, 206, 214, 215, 216, 225, 248, 249, 263, 264, 266, 270, 276, 277, 278, 304, 305, 306, 308, 309, 311, 312, 360, 361, 363, 384, 394, 397], "arrai": [3, 5, 6, 9, 10, 11, 20, 21, 22, 23, 26, 33, 34, 36, 40, 41, 42, 43, 44, 48, 49, 50, 51, 53, 54, 55, 56, 58, 61, 68, 70, 72, 79, 84, 86, 87, 89, 94, 98, 102, 105, 106, 108, 112, 127, 129, 135, 138, 141, 142, 144, 146, 147, 150, 151, 153, 156, 160, 168, 170, 171, 173, 178, 179, 180, 182, 184, 185, 192, 193, 198, 204, 205, 206, 218, 219, 231, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 253, 254, 255, 256, 259, 261, 262, 263, 264, 265, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 278, 281, 286, 288, 296, 297, 300, 303, 307, 308, 309, 310, 311, 312, 313, 317, 319, 322, 324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 353, 357, 359, 360, 362, 364, 368, 372, 373, 374, 375, 376, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 395, 397, 398, 399, 400, 401, 407, 417], "pd": [3, 6, 29, 30, 31, 32, 33, 34, 35, 36, 37, 63, 64, 65, 66, 67, 69, 70, 71, 72, 75, 76, 77, 78, 79, 80, 81, 94, 98, 102, 113, 171, 211], "read_csv": [3, 29, 30, 31, 32, 33, 34, 35, 36, 37, 94, 98, 102, 113, 171], "session_target": [3, 29, 30, 31, 32, 33, 34, 35, 36, 37, 94, 98, 102, 113, 171, 210], "delimit": [3, 40, 41, 98, 100, 113, 171], "chunk": [3, 29, 30, 31, 32, 33, 34, 35, 36, 37, 98, 102], "2": [3, 6, 9, 11, 12, 14, 20, 21, 22, 23, 24, 25, 27, 29, 30, 31, 32, 33, 34, 35, 36, 39, 40, 41, 42, 43, 44, 45, 47, 48, 49, 50, 51, 53, 54, 55, 56, 57, 58, 59, 61, 62, 64, 65, 66, 68, 69, 70, 71, 72, 73, 75, 77, 78, 79, 80, 81, 82, 83, 84, 87, 88, 91, 92, 93, 94, 96, 98, 99, 100, 101, 102, 103, 107, 108, 109, 110, 111, 114, 116, 118, 119, 127, 129, 130, 132, 133, 140, 141, 142, 151, 154, 158, 159, 160, 161, 163, 168, 169, 172, 173, 178, 179, 180, 184, 185, 186, 188, 189, 190, 191, 192, 193, 196, 197, 198, 199, 201, 202, 207, 208, 209, 210, 211, 212, 216, 218, 221, 223, 225, 227, 229, 230, 231, 233, 234, 235, 236, 237, 238, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 253, 254, 255, 256, 263, 265, 270, 272, 276, 278, 279, 281, 283, 287, 288, 291, 292, 293, 297, 298, 300, 304, 305, 308, 309, 310, 311, 312, 314, 315, 316, 317, 318, 319, 321, 322, 324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 357, 359, 366, 368, 369, 370, 371, 372, 373, 377, 379, 385, 386, 388, 397, 398, 401, 415], "4": [3, 6, 12, 13, 14, 15, 18, 19, 20, 24, 27, 29, 33, 34, 35, 36, 40, 41, 42, 43, 44, 45, 48, 49, 50, 51, 53, 54, 56, 57, 58, 59, 62, 64, 65, 66, 67, 68, 69, 72, 73, 75, 76, 77, 79, 81, 84, 86, 91, 92, 98, 99, 100, 101, 102, 103, 107, 109, 111, 115, 120, 125, 128, 132, 133, 134, 135, 140, 151, 153, 158, 159, 160, 168, 180, 186, 201, 205, 208, 218, 219, 225, 226, 227, 230, 241, 242, 243, 244, 246, 247, 248, 249, 276, 281, 296, 297, 304, 305, 314, 316, 317, 319, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 357, 358, 359, 362, 364, 365, 368, 369, 370, 371, 372, 384, 397, 401, 415], "1447": [3, 98], "11": [3, 6, 30, 33, 36, 38, 42, 43, 44, 45, 49, 53, 62, 65, 66, 72, 91, 98, 102, 103, 111, 115, 120, 129, 132, 133, 134, 142, 146, 179, 191, 192, 218, 219, 220, 227], "1448": [3, 98], "1449": [3, 98], "1450": [3, 42, 98, 102], "1451": [3, 98], "1452": [3, 94, 98], "row": [3, 6, 40, 56, 66, 72, 98, 100, 114, 139, 146, 166, 221, 223, 253, 254, 255, 256, 263, 276, 277, 278, 333, 335, 338, 352, 357, 362, 365, 367, 369, 370, 371, 372, 383, 394, 401], "x": [3, 6, 9, 13, 14, 15, 24, 31, 33, 35, 37, 40, 41, 44, 52, 54, 56, 58, 62, 64, 66, 67, 70, 84, 91, 92, 94, 101, 103, 111, 122, 127, 129, 135, 140, 142, 144, 146, 153, 158, 166, 169, 172, 173, 178, 190, 196, 218, 219, 241, 242, 243, 244, 246, 247, 248, 249, 250, 253, 254, 255, 256, 263, 272, 276, 283, 304, 307, 308, 309, 311, 312, 321, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 356, 357, 359, 362, 364, 365, 368, 370, 371, 372, 373, 374, 375, 376, 379, 382, 383, 385, 386, 387, 394, 395, 396, 412, 415], "column": [3, 6, 56, 62, 65, 66, 69, 70, 71, 72, 75, 76, 77, 79, 80, 81, 98, 100, 101, 102, 105, 106, 108, 114, 139, 146, 163, 179, 180, 182, 241, 242, 243, 244, 250, 253, 254, 255, 256, 261, 263, 270, 276, 277, 278, 281, 296, 304, 305, 306, 322, 333, 335, 338, 352, 357, 360, 361, 362, 363, 365, 369, 370, 371, 372, 392, 394, 396, 397, 398], "denot": [3, 6, 15, 132, 146, 163, 171, 172, 173, 304, 305, 333, 355, 371, 386, 387, 388, 389], "experiment": [3, 63, 64, 65, 66, 69, 71, 80, 94, 138, 139, 142, 146, 153, 160, 163, 172, 193, 250, 251, 253, 254, 255, 256, 258, 259, 260, 261, 263, 270, 276, 279, 373, 375, 376, 402], "condit": [3, 6, 29, 30, 31, 33, 35, 62, 63, 64, 65, 66, 68, 69, 70, 71, 72, 80, 94, 98, 101, 102, 108, 113, 139, 142, 144, 146, 147, 153, 160, 166, 169, 172, 193, 218, 263, 265, 270, 276, 360], "type": [3, 6, 10, 15, 18, 21, 29, 34, 42, 49, 63, 65, 66, 69, 72, 88, 94, 100, 102, 114, 121, 124, 126, 129, 132, 135, 141, 142, 143, 144, 146, 155, 158, 161, 162, 163, 166, 168, 171, 186, 190, 194, 195, 201, 218, 245, 251, 259, 263, 276, 281, 285, 286, 288, 290, 291, 293, 294, 298, 299, 301, 302, 303, 304, 307, 308, 309, 310, 311, 312, 313, 315, 318, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 370, 371, 384, 386, 387, 388, 394, 395], "go": [3, 9, 34, 55, 56, 58, 62, 64, 66, 68, 86, 97, 104, 108, 109, 110, 112, 114, 128, 146, 147, 153, 157, 161, 165, 168, 169, 173, 223, 286, 291, 292, 294, 359, 364, 368, 372, 377, 379, 417], "try": [3, 4, 9, 36, 39, 40, 49, 52, 53, 56, 57, 58, 62, 63, 65, 66, 75, 77, 78, 89, 98, 103, 114, 144, 146, 147, 148, 153, 154, 159, 160, 161, 168, 169, 173], "length": [3, 15, 55, 68, 77, 151, 161, 193, 196, 241, 242, 243, 244, 246, 247, 250, 254, 255, 256, 267, 268, 269, 273, 274, 275, 282, 307, 308, 311, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 353, 357, 362, 365, 368, 369, 370, 371, 372, 384, 401], "dtype": [3, 10, 11, 20, 21, 23, 33, 36, 40, 41, 44, 49, 53, 54, 56, 58, 68, 77, 79, 86, 89, 91, 92, 94, 101, 103, 126, 127, 128, 132, 133, 146, 168, 171, 264, 267, 268, 269, 273, 274, 275, 280, 282, 290, 291, 294, 296, 308, 309, 310, 311, 312, 313, 383, 385, 391], "As": [3, 15, 34, 36, 44, 49, 52, 54, 66, 79, 81, 92, 94, 95, 98, 101, 103, 113, 135, 146, 147, 148, 150, 152, 153, 154, 158, 160, 161, 163, 165, 171, 266, 304, 305], "target": [3, 29, 33, 40, 84, 89, 94, 98, 100, 132, 146, 153, 154, 158, 160, 161, 166, 168, 169, 170, 210, 220, 241, 242, 243, 244, 245, 246, 247, 248, 249, 263, 276, 278, 296, 297, 307, 308, 311, 315, 318, 322, 383, 385, 386, 417], "experi": [3, 6, 29, 33, 34, 41, 66, 70, 94, 111, 112, 157, 162, 163, 166, 417], "consequ": [3, 15, 86, 173], "quit": [3, 6, 66, 151, 160, 216], "big": [3, 41, 49, 132, 146, 150, 153, 161, 171, 173, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400, 401], "Not": [3, 64, 66, 67, 194, 195, 326, 383, 385], "ha": [3, 6, 10, 11, 29, 30, 32, 33, 34, 35, 36, 42, 47, 49, 51, 52, 54, 58, 66, 68, 70, 72, 75, 79, 81, 86, 89, 91, 94, 98, 100, 104, 114, 120, 122, 126, 129, 132, 134, 135, 137, 138, 139, 140, 141, 142, 143, 144, 146, 147, 148, 152, 154, 155, 158, 160, 161, 163, 165, 169, 173, 179, 180, 188, 189, 190, 192, 197, 201, 221, 263, 270, 276, 278, 287, 290, 291, 293, 296, 297, 301, 304, 305, 308, 322, 324, 377, 390, 396, 398, 401, 415], "u": [3, 4, 14, 15, 24, 40, 55, 58, 63, 66, 77, 79, 89, 94, 111, 153, 154, 156, 161, 162, 168, 204, 206, 247, 255, 256, 416], "so": [3, 6, 10, 11, 14, 22, 33, 36, 40, 43, 47, 48, 49, 52, 64, 66, 67, 69, 70, 72, 76, 79, 80, 81, 86, 89, 92, 94, 100, 101, 103, 108, 114, 140, 146, 158, 159, 160, 161, 163, 168, 169, 171, 173, 178, 179, 180, 188, 194, 195, 202, 221, 226, 241, 242, 243, 244, 245, 246, 247, 248, 249, 263, 276, 278, 301, 302, 307, 308, 309, 310, 311, 312, 322, 373, 375, 376, 383, 384, 385, 386, 401], "keep": [3, 31, 33, 34, 36, 50, 51, 54, 58, 66, 69, 70, 84, 86, 94, 98, 102, 103, 114, 118, 132, 139, 146, 151, 153, 154, 155, 158, 159, 161, 168, 221, 225, 240, 246, 247, 248, 281, 287, 302, 314, 315, 316, 317, 318, 319, 320, 386, 387, 397, 398], "signal": [3, 6, 28, 43, 44, 45, 46, 48, 49, 50, 55, 57, 59, 64, 66, 67, 68, 70, 71, 78, 83, 86, 94, 96, 100, 107, 110, 111, 119, 131, 133, 135, 139, 140, 144, 146, 147, 149, 150, 151, 152, 153, 155, 158, 160, 162, 163, 166, 168, 170, 172, 178, 179, 180, 182, 186, 193, 194, 196, 204, 205, 207, 210, 218, 241, 242, 243, 244, 245, 246, 247, 248, 249, 263, 276, 278, 281, 287, 288, 293, 304, 305, 307, 308, 309, 310, 311, 312, 313, 322, 354, 359, 368, 369, 377, 378, 383, 384, 385, 386, 388, 389, 390, 391, 392, 393, 395, 417], "creat": [3, 6, 10, 11, 20, 23, 33, 36, 40, 41, 42, 47, 48, 49, 55, 62, 64, 66, 67, 69, 71, 72, 75, 79, 84, 86, 94, 98, 100, 107, 108, 112, 113, 124, 132, 144, 146, 147, 148, 152, 153, 154, 156, 161, 162, 163, 166, 167, 168, 169, 170, 171, 173, 221, 223, 240, 248, 249, 263, 266, 276, 277, 288, 294, 324, 333, 334, 335, 338, 357, 358, 359, 360, 362, 363, 364, 365, 366, 368, 369, 370, 371, 372, 373, 374, 375, 376, 391, 392, 393, 394, 415, 417], "sampl": [3, 8, 14, 23, 27, 31, 34, 36, 40, 49, 58, 63, 66, 69, 71, 74, 75, 77, 78, 81, 82, 84, 94, 101, 108, 110, 111, 113, 138, 140, 141, 146, 148, 153, 158, 160, 162, 163, 165, 168, 173, 178, 179, 180, 182, 207, 216, 231, 233, 234, 235, 236, 237, 238, 241, 242, 243, 244, 245, 246, 247, 248, 249, 263, 264, 265, 267, 268, 269, 270, 273, 274, 275, 276, 278, 281, 285, 286, 292, 321, 322, 334, 349, 358, 361, 364, 367, 376, 377, 383, 384, 385, 386, 396, 397, 398, 401, 412], "belong": [3, 30, 32, 142, 146, 153, 166, 173], "classif": [3, 30, 31, 32, 33, 35, 43, 46, 49, 59, 98, 100, 110, 111, 113, 138, 146, 147, 152, 153, 157, 158, 159, 166, 167, 178, 186, 196, 207, 241, 242, 243, 244, 246, 305, 307, 310, 359, 369, 377, 416, 417], "becom": [3, 66, 114, 154, 155, 156, 161, 163, 168], "smaller": [3, 6, 32, 81, 122, 132, 140, 144, 146, 150, 158, 159, 160, 163, 166, 168, 171, 194, 195, 247, 279, 292, 300, 383], "e": [3, 6, 15, 24, 29, 39, 40, 43, 44, 47, 48, 56, 66, 76, 86, 88, 92, 94, 100, 102, 103, 111, 113, 114, 120, 138, 140, 141, 144, 146, 148, 151, 153, 156, 158, 159, 160, 161, 162, 163, 165, 166, 168, 172, 173, 179, 180, 182, 191, 192, 199, 204, 205, 206, 208, 218, 221, 223, 226, 241, 242, 243, 244, 246, 253, 255, 256, 263, 270, 276, 278, 279, 280, 281, 282, 283, 285, 300, 304, 305, 322, 324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 359, 370, 373, 374, 375, 376, 378, 379, 380, 381, 382, 389, 390, 391, 397, 401, 415], "shorter": [3, 66, 160, 304], "condition_mask": [3, 29, 30, 31, 34, 36, 37, 98, 102, 113], "isin": [3, 29, 31, 34, 36, 37, 98, 102, 113, 114, 221], "larg": [3, 30, 31, 36, 39, 41, 43, 47, 48, 49, 54, 56, 65, 70, 71, 72, 92, 111, 114, 133, 146, 150, 153, 154, 155, 156, 158, 160, 161, 163, 166, 167, 168, 171, 173, 216, 221, 223, 263, 265, 270, 310, 314, 315, 316, 318, 319, 353, 384], "split": [3, 30, 31, 32, 34, 36, 39, 40, 41, 42, 43, 44, 49, 51, 86, 94, 99, 100, 138, 146, 151, 153, 155, 160, 161, 166, 172, 194, 195, 241, 242, 243, 244], "fmri_niimg": [3, 30, 34, 98, 153], "valu": [3, 4, 6, 9, 14, 15, 17, 24, 30, 31, 33, 40, 42, 44, 47, 52, 54, 55, 58, 61, 66, 69, 70, 72, 77, 79, 88, 89, 90, 91, 92, 94, 98, 100, 101, 102, 103, 105, 106, 107, 108, 114, 118, 120, 124, 127, 128, 132, 135, 139, 140, 142, 146, 147, 150, 151, 154, 155, 157, 158, 159, 161, 163, 165, 166, 168, 171, 173, 178, 179, 180, 182, 184, 186, 188, 190, 192, 194, 195, 197, 198, 201, 202, 212, 216, 221, 225, 227, 230, 233, 234, 237, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 253, 254, 255, 256, 259, 263, 264, 272, 276, 278, 279, 280, 281, 282, 285, 287, 296, 297, 298, 300, 301, 302, 303, 304, 305, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 353, 354, 356, 357, 358, 359, 364, 365, 366, 367, 368, 370, 371, 372, 373, 374, 375, 376, 379, 380, 382, 383, 384, 385, 386, 388, 393, 394, 395, 397, 398, 401, 415], "216": [3, 30, 33, 41, 50, 59], "classifi": [3, 28, 32, 33, 36, 41, 45, 51, 98, 99, 110, 135, 138, 139, 146, 153, 154, 155, 156, 157, 166, 167, 168, 210, 241, 243, 244, 245, 246, 286, 288, 293, 372, 377, 417], "linear": [3, 6, 29, 33, 34, 35, 37, 44, 66, 69, 98, 102, 111, 129, 146, 153, 157, 162, 163, 164, 166, 167, 168, 172, 173, 182, 221, 241, 242, 243, 244, 246, 247, 248, 249, 253, 255, 256, 263, 276, 281, 295, 296, 297, 305, 322, 366, 397, 401, 408, 416, 417], "kernel": [3, 29, 33, 34, 35, 44, 55, 94, 98, 153, 168, 242, 244, 247, 267, 268, 269, 273, 274, 275], "svc": [3, 29, 30, 31, 32, 33, 34, 35, 113, 135, 146, 153, 154, 156, 168, 241, 243, 245], "standard": [3, 6, 9, 22, 23, 29, 30, 31, 32, 33, 34, 35, 36, 39, 40, 41, 42, 43, 47, 49, 50, 51, 52, 53, 54, 55, 56, 58, 61, 62, 66, 69, 70, 72, 75, 89, 91, 92, 94, 98, 99, 101, 104, 105, 106, 108, 111, 113, 132, 135, 139, 141, 142, 146, 148, 151, 153, 154, 158, 161, 162, 163, 166, 168, 171, 172, 173, 200, 225, 241, 242, 243, 244, 246, 247, 248, 249, 255, 256, 263, 265, 266, 270, 281, 301, 304, 308, 309, 310, 311, 312, 384, 386, 397], "true": [3, 6, 9, 13, 14, 15, 21, 22, 23, 25, 26, 29, 30, 32, 33, 34, 35, 36, 37, 38, 40, 41, 42, 43, 44, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 58, 61, 62, 64, 67, 69, 70, 71, 74, 75, 77, 79, 80, 81, 82, 86, 89, 91, 92, 94, 98, 99, 100, 101, 102, 103, 104, 105, 108, 110, 113, 114, 127, 130, 135, 142, 146, 148, 151, 153, 156, 158, 160, 163, 165, 166, 173, 178, 179, 180, 182, 184, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 198, 199, 200, 202, 204, 205, 206, 207, 210, 211, 212, 214, 215, 216, 218, 219, 220, 221, 223, 225, 231, 241, 242, 243, 244, 245, 246, 247, 248, 249, 258, 263, 266, 276, 278, 279, 281, 282, 285, 287, 291, 296, 297, 300, 301, 304, 305, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 354, 357, 358, 359, 360, 361, 362, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 375, 376, 377, 378, 379, 380, 382, 383, 384, 385, 386, 387, 391, 396, 397, 398, 415], "fit": [3, 6, 28, 30, 32, 35, 36, 37, 40, 41, 42, 44, 45, 48, 49, 50, 51, 52, 53, 54, 57, 58, 60, 61, 65, 66, 69, 71, 73, 75, 76, 77, 79, 80, 81, 87, 89, 91, 92, 94, 98, 99, 100, 103, 110, 113, 132, 140, 142, 144, 146, 147, 149, 150, 151, 153, 154, 156, 158, 160, 163, 164, 166, 167, 168, 173, 178, 179, 180, 202, 209, 210, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 253, 254, 255, 256, 260, 263, 266, 272, 276, 278, 288, 293, 307, 308, 309, 310, 311, 312, 318, 322, 335, 338, 360, 372, 377, 383, 384, 385, 386, 389, 393, 395, 417], "train": [3, 31, 32, 34, 39, 40, 41, 42, 43, 44, 51, 98, 99, 138, 146, 153, 154, 155, 158, 160, 166, 168, 173, 179, 241, 242, 243, 244, 246, 247, 383, 385], "without": [3, 6, 14, 23, 48, 50, 66, 78, 81, 84, 94, 114, 126, 135, 144, 146, 148, 151, 157, 159, 160, 166, 171, 279, 285, 305, 324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 358, 365, 370, 415, 417], "resampl": [3, 9, 11, 29, 30, 32, 33, 34, 35, 36, 43, 48, 49, 52, 53, 54, 56, 66, 71, 75, 83, 91, 92, 96, 98, 110, 113, 124, 125, 128, 129, 135, 139, 141, 142, 146, 170, 221, 223, 224, 225, 235, 236, 238, 241, 242, 243, 244, 246, 247, 248, 249, 276, 282, 286, 291, 293, 295, 296, 297, 308, 309, 310, 311, 314, 316, 317, 318, 319, 364, 365, 371, 372, 377, 379, 384, 389, 401, 417], "453": [3, 29, 30, 32, 33, 34, 35, 36, 98], "provid": [3, 5, 6, 9, 29, 30, 32, 33, 34, 35, 36, 43, 44, 47, 48, 49, 52, 54, 56, 62, 64, 66, 67, 68, 71, 75, 76, 77, 79, 80, 84, 91, 92, 94, 98, 101, 112, 113, 114, 122, 130, 133, 135, 136, 138, 139, 140, 141, 142, 143, 144, 146, 147, 149, 150, 152, 153, 160, 161, 162, 163, 165, 166, 167, 168, 169, 171, 173, 178, 182, 185, 186, 188, 189, 191, 198, 202, 210, 221, 225, 241, 242, 243, 244, 246, 247, 248, 249, 250, 254, 263, 264, 265, 269, 270, 275, 276, 278, 281, 287, 296, 301, 303, 304, 305, 307, 308, 309, 310, 311, 312, 322, 324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 356, 358, 360, 361, 368, 370, 374, 384, 386, 387, 393, 397, 401, 415, 416], "sform": [3, 29, 30, 32, 33, 34, 35, 36, 98, 144, 146], "header": [3, 11, 29, 30, 32, 33, 34, 35, 36, 94, 98, 101, 118, 133, 135, 143, 146, 171, 281, 284, 294, 358, 397], "result": [3, 6, 14, 15, 23, 24, 30, 33, 34, 35, 36, 40, 42, 43, 44, 47, 48, 49, 51, 55, 58, 61, 62, 63, 64, 65, 66, 67, 69, 71, 72, 75, 77, 78, 79, 84, 86, 87, 88, 92, 93, 94, 95, 98, 99, 100, 101, 103, 104, 105, 106, 108, 111, 112, 114, 125, 132, 135, 138, 143, 144, 146, 147, 149, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 166, 171, 172, 173, 186, 188, 198, 216, 221, 223, 230, 241, 242, 245, 252, 253, 255, 256, 257, 263, 272, 276, 278, 281, 291, 292, 293, 296, 303, 327, 328, 329, 330, 331, 332, 334, 337, 339, 341, 343, 345, 347, 349, 359, 373, 380, 394, 401, 415, 417], "mai": [3, 17, 29, 30, 32, 33, 34, 35, 36, 43, 49, 56, 62, 66, 72, 80, 86, 98, 100, 103, 105, 106, 111, 113, 114, 118, 133, 135, 143, 146, 147, 153, 154, 156, 161, 163, 166, 168, 171, 173, 178, 216, 221, 247, 250, 251, 253, 254, 255, 256, 258, 259, 260, 261, 263, 276, 278, 279, 296, 303, 305, 310, 322, 373, 375, 376, 394, 401, 402], "expect": [3, 6, 29, 30, 32, 33, 34, 35, 36, 61, 62, 66, 78, 79, 81, 95, 98, 101, 102, 105, 106, 114, 120, 135, 144, 146, 151, 158, 161, 163, 166, 169, 172, 173, 247, 263, 265, 270, 276, 278, 282, 301], "both": [3, 9, 15, 24, 39, 47, 49, 51, 58, 69, 79, 80, 89, 94, 100, 105, 108, 114, 135, 142, 146, 147, 150, 152, 158, 159, 161, 162, 166, 171, 172, 173, 178, 185, 197, 207, 263, 265, 270, 278, 279, 281, 300, 322, 323, 325, 326, 327, 328, 329, 330, 331, 332, 334, 337, 339, 341, 343, 345, 347, 349, 359, 369, 388, 397, 401, 416], "class": [3, 11, 28, 32, 42, 43, 45, 49, 51, 54, 56, 91, 94, 98, 99, 110, 119, 120, 122, 128, 129, 130, 133, 135, 138, 140, 141, 142, 144, 146, 152, 153, 157, 160, 161, 162, 165, 173, 174, 176, 177, 178, 179, 180, 210, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 263, 276, 282, 289, 294, 304, 307, 308, 309, 310, 311, 312, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 369, 377, 383, 384, 385, 386, 387, 388, 393, 402, 404, 406, 409, 410, 411, 417], "number": [3, 6, 29, 31, 33, 34, 39, 42, 43, 49, 50, 53, 54, 55, 57, 58, 65, 66, 69, 72, 77, 79, 86, 89, 92, 94, 98, 100, 103, 104, 105, 114, 120, 132, 135, 138, 139, 140, 142, 146, 147, 150, 151, 153, 154, 155, 158, 161, 163, 166, 168, 169, 173, 178, 179, 180, 182, 186, 187, 190, 193, 194, 195, 198, 201, 207, 210, 212, 215, 216, 219, 221, 225, 231, 234, 237, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 254, 259, 263, 272, 276, 278, 279, 281, 283, 285, 287, 293, 300, 304, 305, 307, 308, 309, 310, 311, 312, 313, 317, 318, 319, 322, 324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 353, 357, 358, 359, 360, 362, 364, 365, 367, 368, 370, 371, 372, 373, 374, 375, 376, 378, 379, 380, 382, 383, 384, 385, 386, 387, 389, 390, 391, 394, 395, 396, 397, 398, 415], "problem": [3, 6, 31, 33, 39, 43, 47, 48, 92, 94, 111, 153, 154, 155, 158, 159, 160, 161, 163, 166, 169, 182, 246, 247, 249, 250, 253, 254, 255, 256, 278, 322], "balanc": [3, 49, 142, 146, 150], "perform": [3, 30, 33, 34, 43, 44, 47, 48, 51, 62, 66, 71, 79, 80, 89, 91, 92, 94, 95, 99, 100, 101, 102, 105, 106, 113, 114, 138, 139, 140, 142, 146, 147, 152, 154, 157, 158, 159, 160, 162, 163, 164, 165, 166, 167, 168, 171, 172, 173, 182, 212, 225, 234, 237, 241, 242, 243, 244, 246, 247, 248, 249, 263, 265, 272, 276, 278, 295, 296, 297, 298, 299, 300, 305, 307, 308, 309, 310, 311, 312, 314, 315, 316, 318, 322, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 352, 357, 359, 362, 364, 365, 368, 370, 371, 372, 379, 383, 384, 385, 386, 389, 395, 396, 397, 401, 417], "done": [3, 6, 34, 35, 36, 41, 42, 43, 44, 48, 49, 51, 53, 57, 58, 64, 66, 94, 98, 102, 103, 105, 113, 114, 142, 144, 146, 147, 148, 150, 153, 154, 156, 158, 160, 163, 168, 169, 172, 179, 180, 241, 242, 243, 244, 246, 247, 248, 249, 263, 276, 281, 282, 290, 300, 308, 309, 310, 311, 312, 314, 315, 316, 317, 318, 319, 384, 385, 386, 397], "sum": [3, 41, 42, 49, 58, 65, 68, 77, 79, 84, 101, 102, 105, 106, 107, 135, 146, 160, 246, 247, 250, 254, 255, 287, 309, 389, 398], "float": [3, 40, 41, 43, 68, 75, 135, 138, 146, 168, 179, 180, 182, 186, 212, 233, 234, 237, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 253, 254, 255, 256, 258, 262, 263, 265, 267, 268, 269, 270, 273, 274, 275, 276, 278, 279, 280, 281, 285, 287, 296, 297, 300, 304, 308, 309, 310, 311, 312, 313, 315, 316, 317, 318, 319, 320, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 356, 357, 358, 359, 362, 364, 365, 367, 368, 370, 371, 372, 373, 375, 376, 378, 379, 380, 381, 382, 384, 385, 386, 387, 388, 393, 394, 395, 396, 397, 398, 401], "len": [3, 12, 22, 30, 32, 33, 34, 47, 48, 51, 62, 63, 64, 65, 66, 68, 69, 76, 79, 91, 94, 98, 103, 114, 182, 241, 242, 243, 244, 246, 247, 253, 255, 256, 276, 293, 296, 314, 316, 317, 319, 384], "meaningless": [3, 153, 163, 279], "why": [3, 94, 160, 173, 417], "proper": [3, 34, 142, 146, 160, 168, 197, 198], "error": [3, 6, 42, 43, 66, 76, 79, 81, 84, 94, 103, 122, 129, 132, 135, 144, 146, 148, 153, 154, 158, 161, 163, 166, 168, 253, 255, 270, 276, 278, 279, 281, 282, 303, 310, 312, 318], "rate": [3, 6, 66, 81, 122, 146, 160, 163, 166, 173, 258, 278], "test": [3, 14, 29, 31, 34, 36, 40, 42, 43, 44, 51, 53, 66, 71, 74, 77, 78, 82, 99, 101, 102, 105, 106, 110, 111, 131, 139, 142, 146, 153, 155, 156, 158, 159, 160, 163, 164, 165, 166, 169, 172, 180, 186, 187, 188, 189, 190, 191, 192, 196, 199, 200, 202, 210, 211, 214, 215, 216, 219, 220, 225, 231, 241, 242, 243, 244, 245, 246, 247, 251, 260, 276, 278, 279, 286, 292, 296, 297, 300, 303, 322, 334, 335, 349, 361, 364, 372, 377, 379, 408, 416], "30": [3, 6, 32, 33, 36, 40, 42, 43, 44, 47, 48, 51, 57, 62, 63, 68, 81, 82, 91, 99, 102, 103, 105, 107, 111, 122, 132, 146, 159, 187, 243, 244, 253, 255, 256, 324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 393], "last": [3, 6, 33, 35, 40, 55, 72, 134, 146, 163, 168, 169, 184, 185, 281, 288, 302, 415], "point": [3, 4, 8, 15, 22, 23, 27, 54, 55, 84, 86, 91, 94, 110, 113, 132, 135, 144, 146, 151, 153, 160, 163, 168, 169, 170, 171, 180, 241, 242, 243, 244, 263, 296, 297, 307, 308, 311, 316, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 357, 359, 362, 365, 368, 370, 371, 372, 376, 377, 379, 389, 390, 401, 417], "dure": [3, 6, 55, 56, 65, 94, 100, 101, 111, 113, 132, 139, 146, 153, 154, 160, 161, 163, 166, 173, 180, 182, 199, 276, 278, 314, 315, 316, 318, 367, 383], "fmri_niimgs_train": 3, "fmri_niimgs_test": 3, "conditions_train": 3, "conditions_test": 3, "calcul": [3, 41, 47, 48, 58, 92, 97, 109, 110, 133, 146, 162, 215, 216, 241, 242, 243, 244, 248, 249, 253, 255, 256, 271, 278, 286, 304, 307, 308, 311, 315, 318, 322, 333, 350, 357, 362, 365, 370, 371, 372, 377, 379, 384], "hasn": [3, 160], "t": [3, 5, 6, 9, 14, 16, 22, 24, 33, 37, 41, 55, 56, 58, 62, 66, 67, 68, 69, 71, 72, 75, 76, 77, 79, 80, 83, 90, 92, 93, 94, 96, 99, 100, 102, 103, 104, 105, 107, 108, 110, 111, 114, 138, 146, 158, 159, 160, 161, 163, 164, 165, 166, 168, 169, 171, 172, 188, 189, 198, 199, 201, 202, 208, 216, 221, 222, 223, 226, 246, 247, 251, 253, 254, 255, 256, 257, 259, 260, 263, 276, 278, 300, 303, 304, 305, 316, 322, 367, 370, 372, 377, 388, 395, 398, 401, 415], "examin": [3, 111, 166, 208, 226], "well": [3, 6, 15, 44, 48, 51, 58, 66, 68, 70, 89, 100, 125, 132, 139, 141, 146, 147, 148, 150, 151, 153, 154, 156, 159, 161, 163, 166, 168, 178, 179, 180, 193, 199, 241, 242, 243, 244, 245, 246, 247, 248, 249, 263, 276, 282, 296, 305, 307, 308, 309, 310, 311, 312, 383, 384, 385, 386], "3f": [3, 6, 34, 44, 48, 55, 98], "767": 3, "set": [3, 6, 14, 15, 16, 21, 28, 29, 30, 31, 33, 36, 39, 40, 41, 42, 43, 44, 45, 47, 49, 50, 51, 52, 53, 54, 55, 56, 58, 62, 65, 66, 70, 79, 80, 81, 89, 94, 95, 98, 99, 100, 101, 108, 110, 111, 114, 125, 129, 135, 138, 139, 141, 142, 144, 146, 147, 148, 151, 153, 155, 157, 160, 162, 163, 164, 165, 166, 167, 168, 171, 173, 178, 179, 180, 186, 192, 193, 204, 205, 206, 210, 214, 215, 216, 221, 223, 225, 241, 242, 243, 244, 245, 246, 247, 248, 249, 253, 255, 256, 262, 263, 265, 270, 276, 277, 279, 281, 288, 300, 301, 303, 304, 305, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 318, 322, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 357, 358, 359, 362, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 375, 376, 377, 379, 380, 382, 383, 384, 385, 386, 388, 395, 397, 401, 415, 417], "repetit": [3, 6, 33, 62, 63, 64, 67, 71, 100, 101, 108, 131, 146, 163, 166, 207, 212, 234, 237, 241, 242, 243, 244, 246, 247, 263, 281, 358, 384, 386, 397], "strategi": [3, 24, 28, 45, 48, 49, 66, 88, 89, 91, 92, 99, 110, 111, 135, 139, 140, 142, 146, 151, 154, 157, 158, 160, 163, 170, 180, 210, 241, 242, 243, 244, 245, 248, 249, 304, 305, 307, 308, 309, 310, 311, 312, 318, 358, 369, 370, 377, 384, 389, 397, 401, 417], "scikit": [3, 34, 49, 94, 97, 102, 104, 109, 110, 112, 118, 120, 125, 127, 128, 129, 132, 135, 140, 142, 146, 147, 150, 153, 154, 155, 157, 158, 160, 161, 167, 169, 210, 241, 242, 243, 244, 245, 288, 307, 308, 309, 310, 311, 312, 372, 384, 416, 417], "sklearn": [3, 29, 30, 31, 32, 33, 34, 35, 36, 37, 39, 40, 41, 42, 43, 44, 48, 49, 50, 51, 52, 53, 57, 58, 92, 94, 98, 99, 102, 103, 104, 105, 106, 132, 135, 139, 140, 146, 147, 153, 154, 156, 160, 168, 173, 180, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 204, 205, 206, 210, 211, 217, 221, 223, 228, 229, 230, 231, 241, 242, 243, 244, 249, 263, 272], "model_select": [3, 29, 30, 32, 33, 34, 35, 36, 37, 40, 42, 43, 44, 51, 98, 99, 132, 146, 153, 156, 241, 242, 243, 244], "cv": [3, 29, 30, 31, 32, 33, 34, 35, 36, 37, 39, 40, 44, 51, 58, 98, 99, 129, 146, 153, 158, 180, 241, 242, 243, 244, 245, 246, 247], "n_split": [3, 34, 36, 37, 40, 44, 51, 99], "method": [3, 6, 14, 15, 26, 31, 36, 39, 44, 46, 48, 58, 59, 86, 89, 91, 92, 94, 100, 105, 110, 111, 112, 114, 120, 124, 128, 132, 135, 138, 139, 140, 142, 144, 146, 147, 148, 150, 154, 155, 159, 160, 161, 166, 167, 168, 171, 172, 173, 178, 179, 180, 190, 201, 207, 218, 221, 223, 241, 242, 243, 244, 245, 246, 247, 248, 249, 253, 254, 255, 256, 258, 263, 276, 278, 283, 286, 287, 288, 293, 296, 297, 304, 305, 307, 308, 309, 310, 311, 312, 324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 362, 371, 378, 380, 381, 382, 383, 384, 385, 386, 393, 397, 398, 415, 417], "yield": [3, 31, 39, 49, 77, 79, 84, 114, 135, 138, 142, 146, 152, 153, 154, 155, 158, 159, 162, 163, 221, 245, 249, 259, 263, 265, 270, 279, 300, 383], "fold": [3, 29, 31, 34, 36, 40, 51, 69, 94, 98, 99, 153, 154, 156, 158, 160, 173, 180, 241, 242, 243, 244, 245, 246, 247], "01d": 3, "886": 3, "698": [3, 33], "744": [3, 33], "return": [3, 4, 9, 14, 15, 31, 33, 39, 40, 41, 44, 47, 56, 64, 66, 68, 80, 84, 94, 100, 107, 113, 114, 124, 128, 135, 138, 140, 142, 143, 144, 146, 148, 153, 155, 158, 160, 161, 166, 168, 171, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 325, 326, 333, 338, 340, 344, 350, 351, 352, 353, 354, 355, 356, 358, 360, 361, 363, 366, 367, 369, 373, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400, 401, 409, 415], "paramet": [3, 6, 14, 15, 21, 23, 24, 28, 29, 32, 42, 44, 45, 49, 51, 54, 56, 60, 71, 73, 89, 91, 92, 94, 95, 104, 105, 106, 108, 110, 113, 114, 126, 129, 132, 133, 135, 139, 140, 141, 142, 143, 144, 146, 148, 150, 151, 152, 153, 155, 157, 158, 159, 160, 161, 162, 163, 166, 168, 170, 171, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 253, 254, 255, 256, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400, 401, 415, 417], "n_fold": [3, 180, 241, 242, 243, 244, 246, 247], "pipelin": [3, 35, 37, 39, 40, 41, 42, 44, 75, 98, 99, 111, 138, 146, 152, 153, 154, 157, 158, 159, 166, 172, 178, 179, 180, 186, 241, 242, 243, 244, 245, 246, 247, 248, 249, 263, 276, 281, 307, 308, 309, 310, 311, 312, 383, 384, 385, 386, 397, 417], "found": [3, 6, 10, 15, 18, 21, 48, 49, 50, 52, 55, 62, 81, 87, 88, 100, 101, 103, 107, 108, 113, 114, 132, 146, 147, 150, 151, 152, 153, 154, 155, 156, 158, 160, 161, 168, 169, 172, 173, 221, 223, 225, 281, 283, 301, 313, 316, 357, 371, 372, 397, 415], "websit": [3, 42, 75, 120, 132, 146, 169, 186, 199, 220], "best": [3, 34, 42, 43, 44, 95, 138, 144, 146, 153, 154, 155, 158, 160, 161, 163, 172, 241, 242, 243, 244, 246, 247, 335, 338, 383, 384], "per": [3, 6, 30, 31, 33, 40, 48, 57, 66, 78, 94, 101, 102, 108, 140, 146, 147, 153, 161, 173, 180, 200, 219, 241, 242, 243, 244, 246, 247, 249, 251, 263, 264, 266, 270, 277, 301, 304, 308, 310, 324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 360, 396], "cv_params_": [3, 34, 241, 242, 243, 244], "c": [3, 34, 37, 40, 41, 42, 43, 44, 49, 56, 64, 67, 70, 98, 99, 100, 102, 111, 114, 154, 158, 159, 168, 179, 182, 190, 192, 199, 201, 204, 205, 211, 212, 218, 220, 221, 223, 225, 236, 255, 256, 281, 296, 297, 304, 305, 322, 389, 391, 397], "100": [3, 4, 7, 15, 31, 33, 34, 36, 40, 41, 42, 43, 44, 45, 49, 55, 63, 75, 86, 89, 102, 105, 114, 154, 163, 170, 180, 186, 198, 218, 221, 241, 242, 243, 244, 246, 247, 263, 271, 272, 280, 287, 300, 398, 415, 417], "speed": [3, 36, 37, 77, 89, 98, 105, 111, 150, 156, 159, 160, 172, 173, 322, 383, 401], "cpu": [3, 42, 102, 105, 156, 180, 241, 242, 243, 244, 245, 246, 247, 248, 249, 263, 272, 276, 278, 293, 308, 317, 318, 319, 322, 384], "comput": [3, 6, 9, 15, 16, 22, 25, 29, 30, 31, 33, 39, 40, 41, 43, 44, 46, 47, 48, 49, 51, 61, 62, 63, 64, 65, 66, 67, 68, 69, 71, 72, 75, 77, 79, 81, 83, 85, 90, 92, 95, 98, 99, 100, 101, 102, 103, 104, 108, 110, 111, 112, 114, 120, 132, 138, 139, 140, 142, 146, 149, 150, 152, 153, 154, 155, 156, 158, 159, 160, 163, 164, 166, 167, 170, 171, 174, 178, 180, 182, 196, 207, 210, 220, 230, 241, 242, 243, 244, 245, 246, 247, 248, 249, 251, 253, 255, 256, 259, 260, 262, 263, 265, 270, 272, 276, 278, 279, 286, 287, 288, 291, 292, 293, 294, 298, 307, 308, 309, 310, 311, 312, 314, 315, 316, 317, 318, 319, 320, 322, 324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 353, 354, 356, 359, 362, 369, 370, 371, 372, 377, 378, 380, 383, 384, 385, 386, 393, 395, 396, 398, 401, 407, 415, 417], "n_job": [3, 33, 35, 36, 37, 42, 43, 44, 48, 53, 57, 58, 77, 79, 98, 99, 102, 105, 156, 180, 241, 242, 243, 244, 245, 246, 247, 248, 249, 263, 266, 272, 276, 278, 293, 308, 317, 318, 319, 322, 384], "respect": [3, 62, 108, 135, 144, 146, 147, 161, 163, 166, 169, 173, 204, 206, 241, 242, 243, 244, 263, 266, 276, 285, 296, 297, 386, 388], "structur": [3, 6, 23, 39, 41, 43, 46, 49, 51, 58, 59, 63, 66, 110, 111, 147, 153, 155, 156, 157, 158, 160, 166, 171, 180, 188, 190, 199, 202, 210, 211, 216, 225, 246, 247, 250, 253, 301, 314, 315, 316, 318, 369, 377, 380, 385, 417], "acquisit": [3, 6, 30, 32, 63, 66, 71, 101, 111, 158, 163, 166, 216, 270, 358], "select": [3, 6, 14, 15, 19, 20, 23, 29, 32, 33, 34, 35, 41, 42, 55, 56, 66, 76, 89, 94, 100, 105, 111, 112, 125, 126, 127, 129, 137, 138, 140, 142, 146, 148, 151, 154, 155, 156, 157, 158, 159, 160, 172, 173, 179, 180, 190, 207, 208, 218, 221, 223, 225, 227, 240, 241, 242, 243, 244, 246, 247, 276, 278, 288, 300, 304, 305, 364, 370, 372, 373, 375, 376, 383, 384, 386, 401, 415, 417], "session_label": [3, 29, 30, 32, 33, 98, 153], "acquir": [3, 6, 66, 68, 113, 163, 166], "nois": [3, 6, 34, 44, 56, 64, 67, 69, 70, 94, 95, 100, 103, 108, 111, 140, 146, 148, 154, 156, 160, 163, 166, 173, 253, 255, 256, 270, 304, 305, 358, 370, 371, 398], "autocorrel": [3, 69, 108], "henc": [3, 56, 58, 72, 75, 86, 138, 146, 158, 161, 163], "across": [3, 6, 15, 16, 47, 50, 51, 56, 64, 65, 66, 80, 94, 98, 99, 100, 103, 111, 135, 141, 146, 147, 148, 151, 152, 153, 154, 156, 158, 163, 166, 178, 196, 230, 241, 242, 243, 244, 246, 247, 248, 249, 299, 313, 358, 384, 386, 401, 415], "pass": [3, 4, 9, 10, 11, 24, 29, 36, 42, 43, 49, 51, 54, 55, 56, 58, 79, 86, 89, 94, 102, 105, 106, 113, 114, 128, 130, 132, 135, 140, 142, 144, 146, 153, 154, 158, 160, 161, 162, 168, 171, 172, 173, 178, 180, 186, 221, 241, 242, 243, 244, 246, 247, 248, 249, 263, 265, 270, 276, 278, 281, 295, 304, 305, 307, 308, 309, 310, 311, 312, 314, 316, 317, 319, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 357, 358, 359, 362, 363, 364, 365, 366, 367, 368, 370, 371, 372, 373, 374, 375, 376, 379, 380, 383, 384, 386, 388, 395, 396, 397, 401], "leaveonegroupout": [3, 29, 30, 32, 33, 98, 129, 146, 153, 156, 158, 241, 242, 243, 244], "cv_scores_": [3, 29, 30, 32, 33, 34, 42, 153, 180, 241, 242, 243, 244, 246, 247], "9629629629629629": 3, "8518518518518519": 3, "9753086419753086": 3, "40740740740740744": 3, "9876543209876543": 3, "9259259259259259": 3, "8765432098765432": 3, "final": [3, 4, 6, 14, 15, 30, 41, 48, 53, 55, 56, 57, 63, 69, 84, 93, 94, 100, 140, 146, 147, 154, 160, 161, 162, 168, 169, 172, 173, 180, 276, 301, 309, 310, 415], "coef_": [3, 40, 44, 98, 113, 241, 242, 243, 244, 246, 247], "88471442e": 3, "02": [3, 27, 30, 33, 36, 44, 45, 53, 59, 73, 96, 109, 111, 158, 190, 304, 305], "86753453e": 3, "22274917e": 3, "88103838e": 3, "17749818e": 3, "10474349e": 3, "69629490e": 3, "49691316e": 3, "93773764e": 3, "50415804e": 3, "08279949e": 3, "28501612e": 3, "54318320e": 3, "78043776e": 3, "68281556e": 3, "27558228e": 3, "6": [3, 4, 6, 7, 18, 20, 23, 24, 27, 30, 31, 33, 34, 35, 36, 38, 40, 41, 42, 43, 44, 45, 48, 49, 50, 51, 53, 54, 55, 57, 58, 62, 63, 64, 66, 72, 73, 80, 82, 91, 94, 96, 99, 100, 102, 103, 106, 107, 109, 111, 115, 118, 125, 127, 129, 132, 133, 134, 140, 141, 142, 151, 158, 159, 160, 162, 169, 172, 186, 204, 207, 210, 231, 248, 304, 305, 310, 324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 372, 378, 379, 386, 388], "55013675e": 3, "03": [3, 27, 30, 32, 33, 44, 45, 53, 56, 59, 73, 82, 91, 109, 111, 158, 278, 304, 305, 322], "7": [3, 6, 15, 24, 25, 27, 33, 36, 42, 43, 44, 45, 48, 49, 52, 53, 54, 56, 57, 58, 59, 62, 63, 64, 66, 70, 71, 72, 82, 86, 90, 91, 94, 96, 102, 103, 107, 109, 111, 114, 115, 118, 120, 122, 127, 129, 132, 133, 135, 140, 142, 159, 168, 169, 171, 172, 186, 190, 192, 193, 198, 202, 253, 255, 256, 324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 353, 359, 364, 368, 370, 371, 373, 375, 376, 385, 402, 415], "64027961e": 3, "66731092e": 3, "8": [3, 6, 7, 9, 12, 14, 22, 23, 24, 27, 33, 34, 36, 38, 40, 42, 43, 45, 48, 49, 50, 51, 53, 54, 55, 56, 58, 59, 61, 62, 64, 66, 68, 72, 73, 76, 79, 80, 82, 85, 86, 89, 91, 92, 93, 95, 96, 99, 100, 101, 102, 103, 104, 106, 107, 109, 111, 114, 118, 120, 125, 133, 135, 137, 143, 150, 151, 159, 168, 191, 195, 201, 210, 212, 221, 223, 230, 233, 234, 235, 236, 237, 238, 241, 242, 243, 244, 246, 247, 248, 249, 263, 276, 280, 285, 304, 307, 308, 309, 310, 311, 312, 315, 318, 324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 384, 386, 394, 395, 397], "00442615e": 3, "28259651e": 3, "15728293e": 3, "35569648e": 3, "40757052e": 3, "58821990e": 3, "22076480e": 3, "76885364e": 3, "21689587e": 3, "9": [3, 5, 6, 7, 15, 17, 19, 23, 24, 26, 27, 32, 33, 35, 36, 40, 41, 42, 43, 44, 45, 47, 48, 49, 51, 52, 53, 54, 55, 56, 57, 58, 59, 61, 62, 63, 68, 70, 71, 72, 73, 76, 78, 80, 81, 82, 84, 86, 88, 89, 90, 91, 92, 93, 94, 96, 98, 99, 100, 102, 103, 104, 105, 106, 109, 111, 113, 114, 115, 118, 129, 138, 140, 166, 168, 198, 207, 208, 221, 223, 225, 227, 250, 254, 263, 272, 278, 294, 300, 303, 304, 305, 308, 309, 310, 311, 312, 322, 324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 358, 373, 375, 376, 391, 394, 415, 416], "51054183e": 3, "74705658e": 3, "13813894e": 3, "12121657e": 3, "02838910e": 3, "88625509e": 3, "88123869e": 3, "34318267e": 3, "20855105e": 3, "71186304e": 3, "36652439e": 3, "40698521e": 3, "80082623e": 3, "65044984e": 3, "70137862e": 3, "55172512e": 3, "21378864e": 3, "46413178e": 3, "11534185e": 3, "60128568e": 3, "52386832e": 3, "01265698e": 3, "28227820e": 3, "07525233e": 3, "09199815e": 3, "71552380e": 3, "76544654e": 3, "03611648e": 3, "37699235e": 3, "47605159e": 3, "42000821e": 3, "47077426e": 3, "01": [3, 6, 7, 12, 27, 30, 32, 33, 36, 42, 45, 48, 51, 53, 55, 58, 59, 61, 71, 73, 82, 99, 100, 101, 108, 109, 111, 180, 192, 196, 263, 266, 270, 301, 322, 324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350], "33518482e": 3, "86654994e": 3, "64352033e": 3, "05547083e": 3, "21724895e": 3, "94658569e": 3, "21323424e": 3, "03306583e": 3, "13951766e": 3, "12014019e": 3, "93355073e": 3, "30260348e": 3, "41939691e": 3, "22555596e": 3, "86547587e": 3, "69012808e": 3, "78553093e": 3, "00064235e": 3, "98481295e": 3, "51576558e": 3, "05947964e": 3, "30481181e": 3, "21085828e": 3, "22817631e": 3, "42259423e": 3, "52785936e": 3, "97786838e": 3, "31617081e": 3, "54072063e": 3, "40810726e": 3, "78550923e": 3, "80249556e": 3, "69302602e": 3, "70138451e": 3, "97324563e": 3, "19244358e": 3, "33506613e": 3, "36853760e": 3, "03554876e": 3, "66318360e": 3, "18006693e": 3, "92799708e": 3, "05110883e": 3, "48581165e": 3, "43214927e": 3, "08761755e": 3, "67057368e": 3, "72689936e": 3, "95717497e": 3, "08740835e": 3, "57550942e": 3, "16005361e": 3, "99191709e": 3, "38976980e": 3, "81972347e": 3, "11834436e": 3, "44117793e": 3, "30731509e": 3, "49666668e": 3, "47161961e": 3, "55570796e": 3, "83423732e": 3, "19705242e": 3, "71289598e": 3, "24783104e": 3, "57567097e": 3, "78065587e": 3, "51055970e": 3, "30722210e": 3, "33649005e": 3, "75657774e": 3, "39150786e": 3, "19809968e": 3, "34827149e": 3, "67903944e": 3, "91880332e": 3, "23727107e": 3, "28211456e": 3, "97903272e": 3, "16655688e": 3, "92060084e": 3, "32900571e": 3, "79641586e": 3, "74905739e": 3, "15546542e": 3, "08020886e": 3, "42700095e": 3, "05702239e": 3, "84397389e": 3, "70414987e": 3, "72189749e": 3, "75573154e": 3, "07091948e": 3, "04": [3, 27, 30, 32, 33, 44, 53, 59, 111, 160, 196, 281, 304, 305, 397, 398], "99830244e": 3, "52268958e": 3, "24266273e": 3, "81495372e": 3, "49524178e": 3, "60352662e": 3, "14530939e": 3, "94960322e": 3, "57078543e": 3, "88177116e": 3, "82079332e": 3, "22477720e": 3, "12259911e": 3, "68378810e": 3, "66159342e": 3, "34741686e": 3, "79795586e": 3, "45396068e": 3, "52426463e": 3, "66474718e": 3, "61413151e": 3, "85717149e": 3, "38887404e": 3, "20112192e": 3, "73238212e": 3, "01274564e": 3, "16578106e": 3, "90732711e": 3, "37271610e": 3, "83608811e": 3, "20494102e": 3, "81969643e": 3, "13303921e": 3, "80400224e": 3, "78568736e": 3, "76547162e": 3, "11161969e": 3, "64706728e": 3, "88446238e": 3, "42269767e": 3, "22080595e": 3, "92193161e": 3, "89205582e": 3, "38761352e": 3, "64223401e": 3, "64728526e": 3, "57030412e": 3, "92018209e": 3, "13147646e": 3, "08698696e": 3, "48928859e": 3, "38042077e": 3, "11208570e": 3, "41178217e": 3, "09946885e": 3, "32573729e": 3, "11838277e": 3, "35986701e": 3, "12817791e": 3, "63616146e": 3, "21910199e": 3, "30670811e": 3, "97749831e": 3, "29430942e": 3, "27321669e": 3, "89004716e": 3, "11550852e": 3, "26974262e": 3, "70174924e": 3, "33422609e": 3, "04150458e": 3, "24863233e": 3, "69636692e": 3, "28589134e": 3, "32902236e": 3, "77468485e": 3, "72665518e": 3, "75691806e": 3, "37284495e": 3, "27745617e": 3, "77375260e": 3, "31669322e": 3, "21912551e": 3, "27496094e": 3, "56846033e": 3, "03155313e": 3, "88060949e": 3, "14295499e": 3, "81001556e": 3, "11790520e": 3, "16459495e": 3, "22036461e": 3, "55725496e": 3, "72173036e": 3, "52436912e": 3, "06280065e": 3, "21494799e": 3, "98227776e": 3, "85108809e": 3, "04761077e": 3, "02130690e": 3, "08212963e": 3, "40775553e": 3, "92689576e": 3, "01544137e": 3, "09173633e": 3, "48196875e": 3, "92094721e": 3, "03572815e": 3, "06291696e": 3, "82926502e": 3, "48257155e": 3, "99976571e": 3, "62566107e": 3, "63549919e": 3, "88406578e": 3, "04607306e": 3, "67695010e": 3, "35719855e": 3, "08619166e": 3, "09747691e": 3, "40929234e": 3, "15759100e": 3, "97071559e": 3, "59641841e": 3, "95095832e": 3, "02618420e": 3, "55185584e": 3, "98207726e": 3, "11960695e": 3, "21184048e": 3, "14239802e": 3, "30017627e": 3, "66640002e": 3, "13670478e": 3, "65658211e": 3, "28393493e": 3, "19674727e": 3, "67232586e": 3, "25085830e": 3, "04145017e": 3, "09083467e": 3, "84697039e": 3, "81224303e": 3, "46512151e": 3, "18110195e": 3, "18216853e": 3, "09899843e": 3, "11043636e": 3, "61304728e": 3, "24116315e": 3, "11482619e": 3, "55860308e": 3, "67713053e": 3, "32034376e": 3, "05485281e": 3, "20993992e": 3, "26566753e": 3, "32625339e": 3, "75123553e": 3, "87121394e": 3, "44344388e": 3, "01686748e": 3, "16269522e": 3, "30868768e": 3, "15657434e": 3, "38544109e": 3, "30754255e": 3, "17252817e": 3, "75482647e": 3, "17386862e": 3, "15194019e": 3, "33275271e": 3, "22252003e": 3, "99706476e": 3, "73825088e": 3, "12287240e": 3, "97808238e": 3, "02664926e": 3, "63977771e": 3, "02756652e": 3, "05354661e": 3, "80350929e": 3, "75049822e": 3, "70570619e": 3, "00429854e": 3, "45197050e": 3, "45126607e": 3, "11977919e": 3, "81052652e": 3, "40642664e": 3, "13915953e": 3, "63457677e": 3, "65699366e": 3, "14575396e": 3, "44762809e": 3, "34382915e": 3, "34024572e": 3, "79026859e": 3, "13931981e": 3, "39020729e": 3, "06771014e": 3, "14588867e": 3, "14254215e": 3, "88097772e": 3, "59906046e": 3, "09225012e": 3, "28410806e": 3, "58828849e": 3, "59115852e": 3, "63771535e": 3, "12593598e": 3, "16791695e": 3, "51321558e": 3, "81033605e": 3, "42019431e": 3, "44819431e": 3, "62429456e": 3, "16238657e": 3, "23312255e": 3, "17022019e": 3, "83631046e": 3, "22085866e": 3, "86170302e": 3, "54275249e": 3, "49546257e": 3, "19240860e": 3, "19521360e": 3, "59130469e": 3, "10288217e": 3, "91138967e": 3, "53349991e": 3, "23196554e": 3, "03210421e": 3, "36742007e": 3, "81956211e": 3, "97580427e": 3, "65826989e": 3, "23002415e": 3, "10092421e": 3, "17592024e": 3, "18214689e": 3, "62920510e": 3, "05028571e": 3, "84181711e": 3, "31903124e": 3, "63458207e": 3, "48614912e": 3, "48989435e": 3, "11348029e": 3, "67399778e": 3, "99597165e": 3, "98118345e": 3, "01188548e": 3, "09588021e": 3, "10853270e": 3, "71431514e": 3, "16143019e": 3, "55125936e": 3, "26914374e": 3, "94583568e": 3, "47091617e": 3, "19426960e": 3, "86308638e": 3, "60584946e": 3, "75926738e": 3, "89643401e": 3, "57029763e": 3, "31012450e": 3, "24389416e": 3, "35397715e": 3, "06400315e": 3, "08607907e": 3, "12544058e": 3, "61360764e": 3, "03815124e": 3, "06310802e": 3, "88498586e": 3, "70372637e": 3, "12216763e": 3, "09447105e": 3, "22987990e": 3, "49838418e": 3, "84586987e": 3, "04721885e": 3, "40681565e": 3, "18249849e": 3, "81869554e": 3, "81118213e": 3, "15434285e": 3, "03017875e": 3, "07929829e": 3, "22633660e": 3, "18664581e": 3, "53435032e": 3, "19997234e": 3, "55243702e": 3, "92794838e": 3, "92078775e": 3, "76309801e": 3, "67380849e": 3, "75230699e": 3, "37855876e": 3, "59814698e": 3, "50062118e": 3, "27146555e": 3, "28689836e": 3, "06428790e": 3, "79329600e": 3, "76401847e": 3, "63870210e": 3, "coeffici": [3, 6, 23, 39, 40, 44, 51, 98, 99, 128, 144, 146, 147, 153, 154, 155, 159, 160, 163, 166, 178, 180, 246, 247, 252, 254, 257, 263, 272, 276, 395], "voxel": [3, 15, 25, 28, 33, 36, 37, 39, 40, 41, 44, 45, 46, 49, 50, 59, 66, 69, 70, 74, 79, 81, 82, 84, 87, 89, 90, 92, 98, 100, 102, 105, 108, 110, 111, 113, 122, 125, 126, 127, 133, 142, 144, 146, 150, 151, 153, 155, 156, 157, 159, 162, 163, 164, 166, 167, 168, 171, 173, 194, 195, 202, 207, 211, 212, 225, 242, 245, 246, 247, 248, 249, 251, 258, 259, 263, 272, 276, 278, 279, 280, 281, 283, 285, 286, 287, 296, 297, 300, 304, 307, 308, 309, 310, 311, 312, 313, 314, 317, 319, 322, 335, 350, 353, 358, 361, 366, 372, 377, 383, 384, 385, 386, 387, 388, 391, 392, 393, 394, 395, 401, 415, 417], "464": [3, 33, 98], "get": [3, 6, 14, 22, 33, 35, 40, 41, 51, 52, 56, 58, 62, 66, 68, 69, 71, 75, 78, 81, 86, 88, 100, 101, 104, 108, 114, 127, 132, 146, 148, 151, 152, 153, 158, 160, 162, 165, 167, 168, 173, 178, 179, 180, 188, 194, 195, 197, 198, 223, 241, 242, 243, 244, 245, 246, 247, 248, 249, 253, 255, 256, 263, 276, 278, 286, 291, 295, 307, 308, 309, 310, 311, 312, 322, 323, 325, 326, 353, 383, 384, 385, 386, 393, 416], "coef_img_": [3, 29, 30, 31, 39, 42, 43, 153, 173, 241, 242, 243, 244, 246, 247], "coef_img": [3, 30, 43, 113], "niftiimag": [3, 148, 162, 168, 171, 172], "save": [3, 6, 9, 14, 23, 29, 42, 43, 48, 49, 50, 51, 61, 66, 72, 86, 91, 92, 94, 98, 99, 100, 103, 107, 114, 133, 142, 146, 151, 160, 168, 171, 172, 173, 221, 223, 246, 247, 256, 263, 276, 303, 309, 310, 311, 324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 357, 358, 359, 360, 361, 362, 363, 364, 365, 367, 368, 370, 371, 372, 373, 374, 375, 376, 378, 379, 380, 381, 382, 393, 395, 417], "to_filenam": [3, 4, 6, 29, 48, 49, 55, 64, 86, 94, 168, 172], "haxby_svc_weight": 3, "titl": [3, 6, 9, 10, 12, 13, 14, 15, 16, 17, 19, 20, 21, 22, 23, 26, 29, 30, 31, 32, 35, 36, 37, 39, 40, 41, 42, 43, 44, 47, 48, 49, 50, 51, 52, 53, 55, 56, 57, 58, 61, 62, 64, 65, 66, 67, 68, 69, 71, 75, 76, 77, 79, 80, 81, 84, 85, 86, 87, 88, 89, 90, 92, 93, 94, 95, 98, 100, 101, 102, 103, 105, 106, 107, 108, 113, 135, 136, 141, 144, 146, 151, 153, 161, 169, 173, 263, 276, 324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 357, 358, 359, 362, 364, 365, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 378, 379, 380, 381, 382, 393, 395, 415], "dim": [3, 21, 23, 29, 47, 56, 91, 123, 125, 129, 146, 153, 251, 253, 255, 256, 357, 370, 371, 372, 379], "doe": [3, 6, 29, 49, 66, 68, 75, 102, 113, 114, 122, 131, 135, 144, 146, 153, 154, 158, 160, 161, 162, 163, 168, 173, 188, 198, 210, 252, 254, 257, 266, 287, 299, 301, 318, 326, 383, 398, 415], "than": [3, 4, 6, 15, 31, 32, 35, 36, 39, 40, 41, 42, 43, 47, 48, 49, 51, 52, 53, 54, 55, 56, 58, 61, 64, 66, 67, 69, 70, 77, 79, 81, 86, 88, 89, 91, 92, 94, 98, 99, 100, 102, 103, 104, 105, 106, 112, 113, 114, 122, 125, 126, 127, 128, 129, 131, 135, 140, 142, 146, 147, 150, 152, 153, 154, 155, 156, 158, 160, 161, 163, 166, 169, 171, 172, 173, 194, 195, 221, 223, 227, 241, 242, 243, 244, 248, 249, 263, 272, 278, 279, 280, 287, 292, 300, 301, 304, 305, 307, 308, 310, 311, 322, 327, 328, 329, 330, 331, 332, 334, 337, 339, 341, 343, 345, 347, 349, 353, 358, 359, 368, 377, 378, 380, 382, 386, 394, 396, 398, 401], "answer": [3, 416], "question": [3, 51, 65, 66, 99, 150, 168, 169, 173, 207, 416], "random": [3, 40, 41, 44, 51, 55, 63, 98, 99, 102, 127, 139, 146, 150, 151, 152, 153, 160, 161, 191, 248, 249, 253, 255, 256, 263, 272, 278, 322, 383, 384, 386, 388], "compar": [3, 6, 30, 31, 33, 35, 39, 41, 46, 51, 56, 58, 59, 64, 66, 77, 79, 80, 83, 86, 94, 96, 99, 110, 111, 114, 116, 135, 146, 148, 149, 152, 153, 154, 155, 156, 157, 160, 161, 162, 163, 166, 178, 180, 193, 196, 202, 207, 292, 293, 307, 308, 309, 310, 311, 312, 354, 355, 359, 366, 372, 377, 397, 415, 417], "dummi": [3, 99, 140, 146, 153, 154, 156, 161, 241, 242, 243, 244, 270], "replac": [3, 4, 30, 32, 35, 36, 40, 41, 42, 47, 49, 50, 51, 52, 53, 54, 55, 56, 58, 61, 70, 77, 79, 89, 91, 92, 94, 98, 99, 100, 102, 103, 104, 105, 106, 113, 126, 127, 132, 135, 138, 139, 140, 141, 142, 146, 156, 160, 161, 169, 225, 281, 298, 304, 313, 316, 397], "initi": [3, 12, 48, 49, 50, 67, 69, 94, 100, 151, 159, 162, 171, 173, 180, 182, 248, 249, 250, 254, 309, 310, 312, 324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 383, 386], "dummy_decod": 3, "dummy_classifi": [3, 32, 241, 243], "simpli": [3, 64, 66, 67, 68, 69, 89, 101, 103, 108, 114, 163, 168, 173, 190, 280, 292, 298, 370, 371, 372], "mean": [3, 6, 14, 15, 16, 18, 21, 22, 23, 25, 30, 31, 32, 33, 34, 35, 36, 40, 41, 42, 43, 44, 47, 49, 50, 51, 55, 56, 58, 61, 64, 66, 67, 70, 71, 77, 83, 89, 91, 92, 94, 95, 96, 98, 102, 103, 104, 110, 114, 125, 129, 132, 135, 139, 141, 146, 147, 150, 151, 153, 160, 161, 163, 166, 168, 172, 173, 178, 179, 180, 182, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 231, 241, 242, 243, 244, 245, 246, 247, 248, 249, 253, 255, 256, 263, 271, 272, 276, 278, 279, 280, 282, 287, 292, 293, 300, 304, 305, 308, 309, 310, 311, 312, 314, 315, 316, 317, 318, 319, 322, 357, 370, 371, 372, 373, 377, 379, 383, 384, 385, 386, 388, 389, 391, 392, 395, 397, 398], "over": [3, 20, 48, 49, 51, 69, 71, 89, 113, 138, 139, 146, 152, 153, 158, 159, 160, 165, 168, 169, 172, 193, 249, 263, 289, 293, 304, 323, 325, 326, 370, 374, 401, 415], "38888888888888895": 3, "6111111111111112": [3, 29], "anova": [3, 28, 35, 42, 45, 105, 106, 110, 127, 146, 157, 158, 159, 166, 173, 210, 241, 242, 243, 244, 246, 247, 288, 372, 377, 379, 417], "hous": [3, 18, 28, 32, 33, 45, 94, 97, 109, 110, 158, 167, 171, 172, 210, 241, 243, 245, 286, 288, 291, 293, 294, 307, 311, 322, 350, 365, 372, 377, 379], "For": [3, 6, 9, 14, 15, 19, 23, 24, 29, 30, 32, 34, 35, 36, 40, 48, 50, 51, 63, 64, 66, 67, 69, 71, 72, 80, 86, 89, 98, 100, 103, 108, 113, 114, 132, 142, 146, 147, 148, 150, 152, 153, 154, 155, 156, 158, 160, 161, 162, 163, 165, 166, 168, 171, 172, 173, 178, 185, 188, 189, 190, 194, 195, 197, 198, 199, 201, 202, 211, 221, 223, 225, 236, 240, 241, 242, 243, 244, 246, 247, 248, 249, 253, 254, 255, 256, 263, 270, 276, 278, 293, 301, 304, 305, 309, 310, 324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 354, 355, 357, 362, 365, 367, 370, 371, 372, 373, 374, 375, 376, 384, 386, 387, 388, 393, 394, 395, 401, 415, 416], "precomput": [3, 168, 247], "frem": [3, 28, 45, 110, 111, 138, 146, 153, 154, 157, 159, 166, 167, 210, 219, 243, 244, 247, 288, 293, 372, 377, 417], "fast": [3, 31, 39, 48, 49, 65, 66, 72, 100, 111, 135, 138, 146, 150, 152, 153, 154, 157, 160, 161, 166, 167, 216, 223, 243, 244, 249, 298, 384, 385, 417], "ensembl": [3, 31, 39, 42, 111, 153, 154, 157, 159, 166, 167, 243, 244, 417], "regular": [3, 31, 39, 56, 66, 91, 94, 111, 114, 138, 146, 153, 154, 157, 159, 160, 166, 167, 168, 172, 179, 180, 182, 243, 244, 246, 247, 291, 416, 417], "robust": [3, 31, 39, 94, 111, 137, 146, 151, 153, 157, 166, 243, 244, 304, 305, 417], "spacenet": [3, 125, 146, 153, 154, 155, 157, 166, 246, 247, 417], "spatial": [3, 6, 31, 39, 43, 46, 49, 50, 54, 59, 69, 86, 94, 95, 98, 104, 108, 110, 111, 138, 142, 146, 150, 152, 153, 156, 157, 163, 166, 167, 170, 173, 188, 191, 196, 198, 207, 218, 241, 242, 243, 244, 245, 246, 247, 248, 249, 263, 276, 278, 289, 305, 307, 308, 309, 310, 311, 312, 313, 370, 372, 377, 384, 386, 388, 417], "46": [3, 7, 33, 36, 42, 43, 44, 58, 62, 91, 93, 102, 107, 115, 146, 173, 189, 191, 415], "157": [3, 7, 33, 41, 71, 73], "916": [3, 18, 34, 36, 37, 49, 79, 98], "plot_decoding_tutori": [3, 7, 135, 146, 153, 161], "download": [4, 5, 6, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 47, 48, 50, 51, 52, 53, 54, 55, 56, 57, 58, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 75, 76, 77, 78, 79, 80, 81, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 110, 111, 112, 122, 123, 125, 126, 128, 132, 135, 138, 139, 141, 146, 147, 148, 150, 153, 161, 168, 175, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 205, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 240], "exist": [4, 6, 20, 48, 64, 72, 102, 151, 158, 161, 168, 172, 221, 223, 290, 369, 415], "ship": [4, 12, 14, 94, 132, 146, 415], "mni152_file_path": 4, "variabl": [4, 6, 14, 39, 42, 43, 44, 56, 69, 75, 77, 94, 100, 101, 108, 111, 124, 142, 144, 146, 148, 153, 154, 155, 157, 158, 160, 161, 163, 166, 168, 171, 173, 187, 232, 241, 242, 243, 244, 245, 246, 247, 250, 254, 263, 276, 292, 304], "path": [4, 6, 15, 62, 64, 72, 86, 94, 101, 108, 112, 113, 114, 124, 135, 141, 143, 144, 146, 153, 159, 160, 161, 170, 173, 179, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 241, 242, 243, 244, 246, 247, 248, 249, 263, 266, 276, 282, 291, 301, 302, 304, 305, 306, 308, 309, 310, 311, 312, 314, 315, 316, 317, 318, 319, 336, 384, 385, 386, 393, 397, 399, 400, 401, 417], "mni152": [4, 93, 141, 146, 163, 189, 191, 198, 202, 211, 212, 233, 234, 235, 236, 237, 238, 241, 242, 243, 244, 246, 247, 248, 249, 263, 276, 288, 308, 311, 315, 318, 370, 371, 372, 379, 384], "mni_icbm152_t1_tal_nlin_sym_09a_convert": 4, "quickli": [4, 33, 61, 62, 64, 75, 147, 150, 160, 161, 169], "plot_img": [4, 6, 36, 135, 142, 146, 333, 335, 338, 340, 342, 344, 346, 348, 350, 415], "0x7f1274e35f90": 4, "veri": [4, 30, 31, 32, 35, 36, 39, 40, 42, 44, 49, 54, 66, 75, 76, 77, 79, 86, 94, 103, 113, 135, 146, 147, 148, 150, 153, 154, 155, 156, 159, 160, 161, 163, 166, 168, 169, 173, 243, 244, 310, 353, 370, 396], "pretti": [4, 103], "simplest": [4, 71, 98, 114, 156, 160, 415], "possibl": [4, 6, 14, 15, 44, 69, 71, 80, 81, 84, 86, 94, 100, 113, 114, 125, 142, 144, 146, 147, 150, 153, 158, 160, 161, 163, 166, 168, 169, 172, 173, 178, 179, 180, 186, 241, 242, 243, 244, 245, 246, 247, 248, 249, 251, 253, 255, 256, 263, 266, 276, 278, 285, 296, 301, 304, 307, 308, 309, 310, 311, 312, 352, 353, 359, 364, 368, 383, 384, 385, 386, 395, 415], "whole": [4, 6, 14, 42, 48, 50, 70, 89, 94, 111, 114, 141, 146, 158, 159, 161, 162, 167, 172, 173, 191, 211, 221, 223, 233, 236, 241, 242, 243, 244, 248, 249, 308, 311, 315, 318, 322, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 364, 370, 372, 376, 384, 386, 415], "make": [4, 6, 8, 15, 22, 27, 30, 36, 41, 47, 49, 51, 56, 58, 66, 68, 69, 70, 71, 75, 77, 79, 80, 84, 98, 104, 110, 111, 114, 120, 121, 126, 132, 141, 142, 144, 146, 151, 153, 154, 158, 159, 162, 165, 166, 167, 168, 171, 173, 192, 200, 210, 221, 224, 225, 230, 241, 242, 243, 244, 246, 247, 251, 296, 326, 336, 364, 367, 372, 374, 376, 377, 378, 379, 380, 382, 383, 401, 415, 416], "prettier": 4, "exercis": 4, "own": [4, 6, 49, 58, 100, 112, 114, 153, 156, 161, 212, 417], "noth": [4, 158, 180, 248, 249, 252, 254, 257, 263, 276, 308, 309, 310, 311, 312, 365, 367, 370, 371, 372, 379], "string": [4, 15, 29, 33, 43, 47, 48, 55, 72, 77, 79, 88, 92, 100, 101, 108, 113, 129, 130, 142, 144, 146, 161, 168, 171, 179, 186, 188, 203, 210, 213, 214, 215, 216, 220, 222, 224, 225, 226, 228, 229, 232, 240, 245, 246, 247, 248, 249, 253, 255, 256, 260, 261, 263, 265, 270, 276, 279, 280, 281, 282, 291, 292, 295, 300, 301, 303, 304, 308, 309, 310, 311, 312, 324, 325, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 353, 357, 358, 359, 360, 362, 363, 364, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 378, 379, 380, 381, 382, 387, 395, 397], "should": [4, 6, 14, 15, 32, 35, 36, 40, 41, 42, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 58, 61, 65, 66, 68, 69, 70, 79, 88, 89, 91, 92, 94, 98, 99, 100, 102, 103, 104, 105, 106, 113, 114, 128, 129, 139, 142, 143, 146, 151, 152, 153, 154, 156, 160, 161, 163, 168, 169, 173, 180, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 225, 226, 227, 228, 229, 230, 231, 232, 245, 248, 249, 260, 263, 265, 266, 270, 271, 277, 279, 280, 281, 291, 292, 294, 297, 299, 300, 302, 304, 305, 307, 308, 309, 310, 311, 312, 313, 322, 323, 356, 357, 359, 362, 364, 365, 370, 371, 372, 373, 374, 376, 380, 383, 384, 386, 387, 388, 391, 393, 394, 397, 412, 415], "volum": [4, 8, 27, 31, 32, 36, 39, 43, 54, 56, 61, 64, 69, 79, 87, 91, 100, 111, 113, 129, 132, 140, 146, 158, 159, 166, 167, 168, 171, 188, 190, 193, 210, 220, 225, 241, 242, 243, 244, 246, 247, 248, 263, 285, 293, 296, 297, 304, 305, 307, 308, 309, 310, 311, 312, 313, 316, 323, 325, 326, 358, 362, 367, 371, 376, 377, 379, 386, 387, 388, 391, 397, 401, 415, 416, 417], "smooth_img": [4, 70, 94, 95, 103, 129, 135, 146, 168, 171, 172, 173], "mm": [4, 15, 33, 37, 55, 84, 87, 91, 132, 146, 151, 172, 193, 198, 206, 263, 276, 304, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 354, 355, 386, 387, 388, 395, 401], "smooth_anat_img": 4, "fwhm": [4, 66, 94, 95, 103, 105, 129, 135, 146, 166, 168, 172, 173, 298], "nibabel": [4, 33, 36, 44, 49, 54, 56, 62, 75, 84, 91, 126, 127, 129, 135, 140, 142, 144, 146, 160, 171, 172, 248, 249, 282, 283, 284, 289, 291, 296, 297, 298, 308, 309, 310, 311, 312, 314, 315, 316, 317, 318, 319, 320, 321, 384, 386, 387, 388, 391, 392], "nifti1": [4, 33, 36, 49, 54, 56, 75, 91, 135, 146, 289, 298, 308, 309, 310, 311, 312, 314, 315, 316, 317, 318, 319, 320, 321, 384, 386, 387, 388, 391, 392], "nifti1imag": [4, 33, 36, 40, 43, 44, 48, 49, 54, 56, 75, 84, 91, 127, 128, 130, 135, 146, 151, 171, 192, 194, 195, 197, 198, 201, 212, 219, 233, 234, 235, 236, 237, 238, 241, 242, 243, 244, 248, 249, 258, 260, 263, 276, 278, 279, 280, 282, 284, 288, 289, 291, 292, 293, 296, 297, 298, 299, 300, 308, 309, 310, 311, 312, 314, 315, 316, 317, 318, 319, 320, 321, 333, 338, 340, 344, 350, 354, 355, 356, 384, 386, 387, 388, 391, 392], "0x7f1251fb6650": 4, "0x7f12753377c0": 4, "could": [4, 6, 36, 49, 58, 66, 69, 70, 85, 86, 93, 100, 113, 114, 122, 138, 142, 143, 146, 153, 156, 158, 160, 161, 163, 168, 173, 251, 371, 401], "more_smooth_anat_img": 4, "0x7f1274dbc700": 4, "ani": [4, 6, 49, 56, 58, 75, 80, 81, 100, 103, 104, 113, 136, 138, 144, 146, 148, 150, 153, 154, 157, 158, 160, 161, 162, 163, 166, 173, 186, 210, 221, 223, 227, 250, 251, 253, 254, 255, 256, 258, 259, 260, 261, 263, 276, 279, 283, 288, 292, 298, 301, 302, 304, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 318, 367, 370, 386, 390, 394, 401, 402, 415, 416, 417], "necessari": [4, 62, 89, 92, 101, 108, 135, 142, 146, 147, 150, 153, 161, 162, 169, 173, 188, 221, 223, 241, 242, 243, 244, 256, 263, 276, 311, 324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 393], "tool": [4, 8, 10, 11, 20, 23, 27, 32, 36, 48, 49, 79, 86, 87, 94, 100, 104, 110, 113, 125, 144, 146, 149, 154, 161, 162, 165, 167, 168, 170, 171, 173, 174, 176, 210, 224, 293, 333, 335, 338, 340, 342, 344, 346, 348, 350, 357, 362, 364, 371, 372, 377, 379, 405, 415, 416], "219": [4, 33, 41], "plot_nilearn_101": [4, 7], "matplotlib": [5, 6, 8, 9, 11, 18, 24, 25, 27, 30, 32, 35, 38, 40, 41, 42, 43, 44, 48, 49, 51, 52, 54, 55, 56, 57, 58, 62, 63, 65, 66, 68, 70, 72, 78, 79, 80, 84, 91, 94, 99, 100, 101, 102, 105, 106, 110, 118, 122, 127, 129, 130, 132, 135, 137, 142, 143, 146, 148, 153, 168, 172, 310, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 386, 415, 416], "line": [5, 9, 14, 21, 24, 48, 51, 91, 153, 160, 161, 168, 169, 225, 281, 378, 397, 401], "line2d": [5, 168, 327, 328, 329, 330, 331, 332, 334, 337, 339, 341, 343, 345, 347, 349, 359], "0x7f125190d1e0": 5, "modul": [5, 19, 26, 32, 34, 35, 36, 40, 41, 42, 47, 50, 51, 52, 53, 54, 55, 56, 58, 61, 87, 88, 89, 91, 92, 93, 94, 98, 99, 100, 102, 103, 104, 105, 106, 111, 113, 114, 120, 127, 129, 130, 138, 142, 144, 146, 156, 161, 164, 168, 169, 173, 177, 221, 225, 241, 242, 243, 244, 253, 255, 256, 270, 278, 280, 290, 292, 402, 405, 409, 410, 412, 415], "np": [5, 6, 9, 11, 12, 14, 20, 21, 22, 23, 24, 30, 32, 33, 34, 35, 36, 40, 41, 42, 43, 44, 47, 48, 49, 50, 51, 53, 54, 55, 56, 57, 58, 61, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 75, 77, 79, 80, 84, 85, 87, 89, 94, 98, 100, 102, 103, 104, 105, 106, 107, 108, 144, 146, 151, 161, 168, 171, 172, 178, 198, 225, 252, 253, 254, 255, 256, 257, 282, 292, 383, 385], "linspac": [5, 49, 61, 68, 168], "2000": [5, 42, 49, 102, 111, 135, 138, 146, 150, 168, 171, 201], "pyplot": [5, 6, 11, 12, 18, 24, 25, 30, 32, 34, 35, 38, 41, 42, 43, 44, 48, 49, 51, 55, 57, 58, 62, 63, 65, 66, 68, 70, 72, 78, 79, 80, 84, 91, 94, 99, 100, 101, 102, 105, 106, 148, 168, 172, 324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 357, 358, 359, 362, 363, 364, 365, 367, 368, 370, 371, 372, 373, 376, 377, 415], "scientif": [5, 111, 139, 142, 146, 161, 197, 208, 216, 226, 324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 357, 362, 364, 365, 371, 372, 373, 375, 376, 417], "plt": [5, 6, 11, 12, 18, 24, 25, 30, 32, 34, 35, 38, 40, 41, 42, 43, 44, 48, 49, 51, 55, 57, 58, 62, 63, 65, 66, 68, 70, 72, 78, 79, 80, 84, 91, 94, 99, 100, 101, 102, 105, 106, 168, 172, 357, 358, 359, 362, 366, 368, 369, 370, 371, 372, 373, 374, 375, 376, 379], "co": [5, 24, 84, 111, 162, 168, 201, 230], "309": [5, 7, 33, 41, 111, 216], "plot_python_101": [5, 7], "tutori": [6, 7, 66, 98, 122, 132, 146, 153, 161, 166, 167, 173, 210, 241, 288, 293, 362, 371, 379], "model": [6, 23, 28, 31, 32, 33, 34, 39, 41, 44, 45, 48, 50, 51, 60, 61, 63, 69, 71, 73, 74, 75, 81, 82, 97, 98, 102, 104, 105, 108, 109, 110, 111, 129, 135, 138, 140, 142, 143, 144, 146, 147, 149, 151, 153, 157, 158, 159, 160, 161, 164, 166, 167, 174, 178, 179, 182, 209, 212, 213, 216, 217, 218, 220, 231, 241, 242, 243, 244, 246, 247, 248, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 263, 265, 266, 267, 268, 269, 270, 272, 273, 274, 275, 276, 278, 279, 282, 283, 286, 287, 292, 293, 297, 300, 303, 304, 305, 307, 308, 311, 312, 322, 334, 335, 349, 350, 360, 361, 364, 371, 372, 377, 393, 395, 408, 416, 417], "period": [6, 41, 66, 69, 108, 241, 242, 243, 244, 246, 247, 281, 358, 384, 386, 397], "auditori": [6, 66, 69, 72, 77, 103, 105, 163, 206, 215, 216, 222, 228], "stimul": [6, 72, 153], "versu": [6, 66, 69, 79, 80, 94, 98, 153, 154, 166], "analys": [6, 100, 111, 153, 158, 162, 163, 164, 165, 166, 167, 171, 173, 219, 402, 416], "nativ": [6, 60, 73, 110, 128, 146, 162, 229, 263, 270, 282, 290, 293, 296, 312, 372, 377], "scan": [6, 23, 33, 36, 55, 58, 63, 65, 66, 68, 94, 100, 111, 140, 146, 150, 158, 166, 171, 216, 248, 249, 263, 265, 267, 268, 269, 270, 273, 274, 275, 304, 305, 307, 308, 309, 310, 311, 312, 358, 384, 386, 389, 390, 391, 397], "preprocess": [6, 11, 23, 29, 34, 37, 40, 41, 44, 89, 92, 99, 101, 104, 108, 111, 112, 127, 146, 151, 152, 158, 159, 163, 166, 173, 186, 187, 207, 225, 231, 263, 266, 281, 302, 304, 307, 308, 309, 310, 311, 312, 386, 397, 405, 417], "sensit": [6, 40, 48, 56, 111, 163, 166, 281, 305, 322, 397], "would": [6, 9, 14, 42, 50, 58, 64, 66, 67, 75, 78, 103, 114, 140, 144, 146, 153, 160, 161, 162, 163, 169, 240, 241, 242, 243, 244, 246, 247, 249, 263, 265, 266, 270, 276, 278, 301, 313, 318, 358], "like": [6, 10, 11, 16, 34, 36, 40, 47, 49, 54, 56, 66, 79, 81, 86, 89, 91, 92, 94, 100, 114, 135, 139, 142, 143, 144, 146, 159, 160, 161, 162, 163, 165, 166, 168, 169, 170, 172, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 204, 205, 206, 207, 210, 211, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 228, 229, 230, 231, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 253, 254, 255, 256, 258, 263, 265, 266, 276, 278, 279, 280, 281, 282, 285, 286, 287, 288, 289, 290, 291, 293, 294, 295, 296, 297, 298, 299, 300, 302, 303, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 353, 357, 358, 362, 364, 365, 367, 368, 370, 371, 372, 373, 375, 376, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 394, 395, 401, 403, 415, 417], "obtain": [6, 15, 22, 42, 43, 49, 54, 58, 63, 66, 69, 75, 77, 91, 94, 102, 105, 142, 146, 147, 148, 150, 152, 153, 155, 158, 160, 163, 166, 173, 180, 189, 191, 199, 211, 216, 233, 234, 237, 240, 246, 247, 280, 285, 296, 300, 309, 310, 312, 322, 336, 363, 386], "correct": [6, 42, 43, 47, 48, 56, 75, 77, 79, 81, 92, 101, 102, 105, 106, 111, 135, 138, 144, 146, 147, 158, 163, 164, 166, 169, 226, 239, 241, 242, 243, 244, 246, 247, 278, 279, 304, 305, 322, 358, 398, 417], "normal": [6, 24, 37, 40, 41, 44, 55, 58, 69, 70, 101, 104, 108, 113, 122, 146, 153, 160, 161, 162, 163, 166, 169, 179, 182, 188, 214, 225, 255, 256, 401], "smooth": [6, 29, 34, 42, 44, 48, 49, 55, 70, 75, 81, 83, 94, 96, 101, 105, 110, 111, 128, 129, 146, 150, 152, 153, 154, 160, 170, 171, 207, 241, 242, 243, 244, 248, 249, 263, 276, 278, 293, 298, 308, 309, 310, 311, 312, 313, 314, 315, 316, 318, 322, 362, 373, 377, 383, 384, 386, 388, 417], "conduct": [6, 32, 114, 163], "fil": [6, 228, 229], "geraint": 6, "ree": 6, "under": [6, 102, 144, 146, 153, 154, 158, 159, 160, 161, 162, 163, 166, 169, 245, 285, 296, 297, 302, 315, 318, 322], "direct": [6, 15, 40, 51, 94, 98, 111, 129, 138, 146, 148, 149, 161, 169, 173, 193, 199, 225, 231, 241, 242, 263, 276, 298, 300, 301, 323, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 337, 339, 341, 342, 343, 345, 346, 347, 348, 349, 352, 353, 357, 359, 362, 364, 365, 368, 370, 371, 372, 387, 395, 415, 417], "karl": 6, "friston": [6, 111, 281, 397], "develop": [6, 47, 55, 56, 85, 89, 91, 92, 111, 130, 135, 146, 147, 148, 150, 152, 160, 161, 168, 169, 180, 201, 207, 358, 414], "spm": [6, 10, 11, 36, 49, 61, 66, 68, 71, 79, 86, 94, 111, 143, 144, 146, 157, 162, 166, 171, 188, 228, 229, 263, 265, 270, 273, 274, 275, 292, 417], "accord": [6, 41, 44, 69, 94, 100, 108, 127, 128, 129, 132, 138, 140, 144, 146, 151, 158, 161, 179, 186, 198, 239, 241, 242, 243, 244, 246, 247, 250, 281, 301, 322, 368, 373, 375, 376, 385, 386, 396, 397, 415], "96": [6, 30, 32, 33, 36, 42, 43, 44, 49, 54, 63, 72, 84, 102, 105], "tr": [6, 11, 23, 25, 33, 63, 68, 71, 108, 131, 143, 146, 163, 166, 172, 207, 267, 268, 269, 273, 274, 275], "altern": [6, 9, 16, 20, 22, 52, 54, 58, 66, 149, 150, 158, 166, 173, 253, 255, 256, 322, 417], "42": [6, 24, 33, 36, 41, 42, 43, 62, 91, 92, 100, 102, 104, 105, 415], "block": [6, 33, 51, 56, 58, 63, 100, 101, 112, 153, 160, 168, 172, 369, 403], "bi": 6, "syllab": 6, "word": [6, 14, 77, 94, 103, 105, 114, 153, 154, 161, 221, 223], "binaur": 6, "60": [6, 15, 33, 36, 40, 41, 42, 43, 44, 63, 92, 99, 102, 105, 109, 111, 220, 415], "fm00223_004": 6, "2t": 6, "siemen": 6, "magnetom": 6, "vision": 6, "system": [6, 23, 42, 43, 111, 153, 160, 171, 189, 230, 232], "64": [6, 10, 11, 19, 21, 31, 33, 34, 36, 42, 43, 44, 47, 49, 61, 66, 79, 84, 86, 94, 102, 105, 139, 144, 146, 168, 171, 186, 189, 190, 193], "contigu": [6, 150, 160, 322], "64x64x64": 6, "3mm": 6, "took": [6, 43, 47, 48, 92], "05": [6, 12, 27, 30, 32, 33, 44, 45, 51, 53, 73, 75, 76, 77, 79, 81, 82, 96, 99, 109, 163, 187, 188, 191, 196, 197, 198, 201, 202, 225, 228, 229, 231, 253, 255, 256, 258], "repeat": [6, 58, 66, 68, 153, 163, 267, 268, 269, 273, 274, 275], "arbitrarili": [6, 247], "subject_data": [6, 70, 71, 162], "abid": [6, 111, 126, 146, 186], "bid": [6, 60, 72, 73, 97, 100, 109, 110, 135, 138, 140, 142, 144, 146, 162, 166, 203, 208, 213, 226, 227, 239, 240, 263, 266, 276, 304, 305, 306, 311, 360, 364, 366, 377, 393, 394, 395], "organ": [6, 58, 111, 122, 135, 141, 143, 146, 161, 166, 198, 202, 205, 278, 305, 322, 338, 400, 401, 416], "fetch_spm_auditori": [6, 70], "spm_auditori": [6, 228], "sub001": [6, 228, 229], "fm00223": 6, "fm00223_005": 6, "fm00223_006": 6, "fm00223_007": 6, "fm00223_008": 6, "fm00223_009": 6, "fm00223_010": 6, "fm00223_011": 6, "fm00223_012": 6, "fm00223_013": 6, "fm00223_014": 6, "fm00223_015": 6, "fm00223_016": 6, "fm00223_017": 6, "fm00223_018": 6, "fm00223_019": 6, "fm00223_020": 6, "fm00223_021": 6, "fm00223_022": 6, "fm00223_023": 6, "fm00223_024": 6, "fm00223_025": 6, "fm00223_026": 6, "fm00223_027": 6, "fm00223_028": 6, "fm00223_029": 6, "fm00223_030": 6, "fm00223_031": 6, "fm00223_032": 6, "fm00223_033": 6, "fm00223_034": 6, "fm00223_035": 6, "fm00223_036": 6, "fm00223_037": 6, "fm00223_038": 6, "fm00223_039": 6, "fm00223_040": 6, "fm00223_041": 6, "fm00223_042": 6, "fm00223_043": 6, "fm00223_044": 6, "fm00223_045": 6, "fm00223_046": 6, "fm00223_047": 6, "fm00223_048": 6, "fm00223_049": 6, "fm00223_050": 6, "fm00223_051": 6, "fm00223_052": 6, "fm00223_053": 6, "fm00223_054": 6, "fm00223_055": 6, "fm00223_056": 6, "fm00223_057": 6, "fm00223_058": 6, "fm00223_059": 6, "fm00223_060": 6, "fm00223_061": 6, "fm00223_062": 6, "fm00223_063": 6, "fm00223_064": 6, "fm00223_065": 6, "fm00223_066": 6, "fm00223_067": 6, "fm00223_068": 6, "fm00223_069": 6, "fm00223_070": 6, "fm00223_071": 6, "fm00223_072": 6, "fm00223_073": 6, "fm00223_074": 6, "fm00223_075": 6, "fm00223_076": 6, "fm00223_077": 6, "fm00223_078": 6, "fm00223_079": 6, "fm00223_080": 6, "fm00223_081": 6, "fm00223_082": 6, "fm00223_083": 6, "fm00223_084": 6, "fm00223_085": 6, "fm00223_086": 6, "fm00223_087": 6, "fm00223_088": 6, "fm00223_089": 6, "fm00223_090": 6, "fm00223_091": 6, "fm00223_092": 6, "fm00223_093": 6, "fm00223_094": 6, "fm00223_095": 6, "fm00223_096": 6, "fm00223_097": 6, "fm00223_098": 6, "fm00223_099": 6, "anatomi": [6, 42, 69, 75, 202], "plot_anat": [6, 15, 18, 50, 142, 146, 151, 372, 415], "cbar_tick_format": [6, 25, 139, 142, 146, 324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 357, 362, 364, 365, 371, 372, 373, 375, 376], "0x7f1275378ac0": 6, "next": [6, 14, 54, 55, 58, 63, 64, 65, 66, 69, 70, 75, 78, 79, 80, 81, 108, 130, 133, 142, 146, 148, 159, 160, 161, 163, 169], "concaten": [6, 37, 47, 49, 53, 57, 100, 147, 172, 282, 288, 304, 386], "averag": [6, 9, 24, 30, 37, 49, 51, 70, 94, 111, 138, 141, 146, 150, 154, 155, 165, 166, 211, 219, 230, 236, 241, 242, 293, 298, 304, 369, 373, 384, 401], "fmri_img": [6, 34, 36, 37, 64, 65, 66, 67, 69, 70, 71, 94, 108, 162], "must": [6, 34, 72, 94, 144, 146, 153, 154, 156, 158, 160, 161, 162, 163, 168, 169, 171, 173, 179, 180, 182, 188, 210, 241, 242, 243, 244, 245, 246, 247, 248, 250, 254, 263, 276, 277, 278, 281, 287, 293, 296, 298, 303, 304, 307, 308, 309, 311, 314, 316, 317, 318, 319, 320, 321, 322, 327, 328, 329, 330, 331, 332, 334, 337, 339, 341, 343, 345, 347, 349, 359, 363, 370, 372, 373, 374, 375, 376, 378, 380, 382, 384, 389, 391, 392, 394, 395, 397, 398, 401, 415], "descript": [6, 58, 112, 114, 138, 142, 146, 161, 169, 171, 172, 186, 188, 189, 190, 191, 192, 193, 196, 197, 198, 199, 200, 201, 202, 204, 205, 206, 218, 221, 222, 223, 224, 231, 265, 278, 281, 285, 293, 298, 299, 305, 322, 417], "typic": [6, 72, 78, 79, 100, 150, 152, 154, 158, 161, 163, 166, 168, 169, 171, 172, 173, 232, 243, 244, 247, 253, 303, 312, 322, 324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 357, 370, 371, 372, 379, 384, 415], "event": [6, 60, 62, 63, 65, 66, 68, 69, 70, 71, 73, 100, 101, 108, 110, 111, 138, 139, 146, 153, 163, 164, 217, 263, 264, 265, 270, 363, 416, 417], "tsv": [6, 47, 53, 54, 55, 56, 58, 60, 62, 73, 101, 108, 110, 207, 303, 304, 305, 363], "read_tabl": [6, 65, 66, 69, 70, 71], "onset": [6, 33, 63, 65, 66, 68, 72, 100, 138, 146, 162, 229, 263, 264, 265, 267, 268, 269, 270, 273, 274, 275, 363], "durat": [6, 33, 63, 66, 68, 72, 162, 163, 171, 265, 270, 363], "trial_typ": [6, 33, 63, 65, 66, 72, 100, 101, 270], "84": [6, 33, 36, 42, 43, 91, 100, 102, 111, 304], "126": [6, 33, 41, 43, 56, 67, 91, 141, 146], "168": [6, 33, 41, 54, 55, 56, 58, 89, 91, 151], "210": [6, 33, 36, 41, 42, 44, 72, 102, 111, 211, 281, 397], "252": [6, 33, 41], "294": [6, 33, 41], "336": [6, 33, 41, 43], "378": [6, 33], "420": [6, 33, 36, 42, 44, 102], "462": [6, 33], "12": [6, 25, 32, 33, 36, 40, 41, 42, 43, 44, 48, 49, 56, 62, 63, 68, 70, 73, 75, 77, 78, 80, 82, 91, 96, 98, 101, 102, 103, 105, 107, 111, 115, 118, 120, 122, 138, 143, 144, 146, 159, 160, 172, 173, 188, 190, 197, 199, 207, 304, 305, 307, 308, 309, 310, 311, 312, 324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 386], "504": [6, 33, 62], "13": [6, 33, 36, 42, 43, 44, 48, 49, 56, 62, 71, 77, 91, 102, 103, 107, 111, 115, 120, 146, 150, 158, 206, 225, 250, 254, 322], "546": [6, 33, 86], "14": [6, 18, 27, 30, 33, 35, 36, 42, 43, 62, 70, 77, 91, 102, 103, 111, 116, 118, 125, 127, 128, 129, 132, 135, 146, 158, 192, 198, 375], "588": [6, 33], "15": [6, 12, 16, 24, 27, 30, 33, 36, 42, 43, 44, 48, 49, 51, 53, 56, 58, 59, 61, 62, 66, 72, 77, 78, 84, 91, 94, 102, 103, 104, 105, 107, 109, 111, 115, 119, 128, 132, 142, 146, 188, 200, 322, 324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350], "630": [6, 33, 36, 42, 102], "firstlevelmodel": [6, 61, 64, 65, 66, 67, 70, 71, 100, 140, 142, 144, 146, 162, 266, 276, 303, 395], "design": [6, 33, 41, 44, 60, 61, 62, 64, 65, 67, 69, 70, 71, 73, 74, 75, 76, 79, 80, 81, 82, 101, 108, 110, 111, 138, 139, 140, 142, 146, 153, 156, 160, 161, 163, 164, 165, 166, 216, 250, 253, 254, 255, 256, 261, 263, 264, 270, 272, 276, 277, 278, 279, 286, 292, 303, 306, 360, 361, 372, 377, 395, 417], "matrix": [6, 22, 33, 37, 40, 41, 44, 47, 50, 51, 53, 61, 62, 63, 64, 66, 69, 70, 71, 74, 75, 76, 77, 79, 80, 81, 82, 84, 91, 92, 100, 101, 103, 108, 110, 130, 135, 138, 146, 150, 151, 153, 154, 160, 163, 164, 165, 166, 167, 168, 171, 172, 173, 178, 179, 180, 181, 182, 183, 185, 221, 223, 241, 242, 243, 244, 246, 247, 248, 249, 250, 253, 254, 255, 256, 261, 263, 264, 270, 272, 276, 277, 278, 283, 293, 294, 296, 299, 303, 306, 307, 308, 311, 314, 316, 317, 319, 327, 328, 329, 330, 331, 332, 334, 337, 339, 341, 343, 345, 347, 349, 359, 360, 361, 369, 383, 384, 385, 395, 417], "first_level": [6, 33, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 78, 100, 101, 108, 140, 142, 144, 146, 162, 363, 395, 414], "level": [6, 9, 10, 14, 15, 18, 21, 33, 39, 48, 49, 50, 51, 56, 63, 70, 71, 73, 75, 82, 87, 88, 97, 104, 105, 109, 111, 138, 139, 144, 146, 149, 150, 154, 157, 160, 163, 164, 166, 169, 171, 177, 178, 179, 180, 182, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 251, 253, 255, 256, 258, 259, 263, 266, 270, 272, 276, 277, 278, 279, 281, 286, 287, 292, 297, 300, 301, 303, 304, 305, 306, 308, 309, 310, 311, 312, 314, 315, 316, 318, 320, 322, 324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 359, 360, 361, 364, 366, 370, 371, 372, 373, 374, 375, 376, 377, 379, 383, 384, 385, 386, 393, 394, 395, 397, 401, 415, 417], "t_r": [6, 11, 33, 49, 51, 53, 54, 55, 56, 58, 61, 62, 65, 66, 69, 70, 89, 91, 92, 99, 100, 108, 132, 143, 146, 173, 241, 242, 243, 244, 246, 247, 248, 249, 263, 265, 266, 270, 281, 308, 309, 310, 311, 312, 358, 384, 386, 397], "noise_model": [6, 33, 66, 263, 266, 272], "ar1": [6, 33, 66, 263, 266, 272], "covari": [6, 42, 46, 57, 58, 59, 61, 64, 69, 102, 110, 111, 128, 146, 148, 149, 151, 167, 178, 179, 180, 181, 182, 196, 207, 218, 250, 252, 253, 254, 255, 256, 307, 310, 322, 355, 359, 369, 377, 378, 417], "lag": [6, 47, 65, 66], "depend": [6, 14, 15, 39, 66, 89, 95, 100, 102, 111, 122, 127, 132, 135, 146, 154, 158, 160, 161, 163, 166, 169, 171, 186, 194, 195, 202, 207, 218, 241, 242, 243, 244, 246, 247, 248, 249, 250, 254, 263, 276, 278, 279, 286, 308, 311, 321, 322, 370, 384, 394, 395, 415], "rescal": [6, 33, 40, 80, 141, 146, 323, 325, 326, 361], "seri": [6, 33, 46, 47, 51, 56, 60, 66, 73, 92, 94, 95, 97, 109, 110, 111, 113, 122, 139, 143, 146, 147, 149, 151, 153, 158, 163, 164, 168, 170, 171, 172, 178, 213, 225, 226, 228, 231, 239, 248, 249, 250, 263, 266, 281, 282, 293, 298, 304, 307, 311, 312, 313, 316, 335, 350, 358, 361, 372, 388, 394, 398, 406, 417], "varianc": [6, 33, 40, 42, 48, 50, 55, 56, 57, 58, 66, 70, 80, 92, 103, 104, 135, 138, 139, 146, 153, 158, 160, 166, 173, 182, 241, 242, 243, 244, 248, 249, 251, 253, 255, 256, 259, 260, 263, 272, 276, 281, 287, 303, 304, 305, 308, 309, 310, 311, 312, 384, 386, 389, 397, 398], "hrf_model": [6, 33, 61, 63, 65, 66, 69, 71, 108, 263, 265, 266, 270], "canon": [6, 50, 66, 71, 84, 125, 146, 166, 177, 248], "hrf": [6, 65, 66, 68, 69, 108, 142, 144, 146, 153, 164, 166, 263, 265, 267, 268, 269, 270, 273, 274, 275, 417], "dispers": [6, 66, 68, 162, 253, 255, 256, 263, 265, 267, 270, 273], "deriv": [6, 46, 59, 62, 68, 69, 71, 100, 101, 104, 108, 110, 139, 141, 142, 146, 152, 160, 162, 166, 167, 173, 186, 207, 248, 249, 263, 265, 266, 267, 269, 270, 273, 275, 276, 278, 289, 301, 302, 304, 305, 323, 324, 351, 358, 370, 372, 373, 377, 384], "drift_model": [6, 33, 63, 66, 70, 71, 162, 263, 266, 270], "cosin": [6, 33, 66, 69, 70, 71, 108, 140, 146, 263, 266, 270, 304, 397], "drift": [6, 69, 70, 71, 100, 108, 263, 270, 304, 397], "slow": [6, 36, 44, 66, 159, 160, 161, 173, 415], "oscil": [6, 66, 111], "high_pass": [6, 33, 49, 51, 53, 54, 55, 56, 58, 61, 66, 71, 89, 91, 92, 99, 100, 132, 146, 173, 241, 242, 243, 244, 246, 247, 248, 249, 263, 266, 270, 281, 304, 305, 308, 309, 310, 311, 312, 384, 386, 396, 397], "hz": [6, 33, 66, 71, 173, 263, 270], "cutoff": [6, 66, 69, 71, 89, 108, 140, 146, 170, 241, 242, 243, 244, 246, 247, 281, 384, 386, 396, 397, 417], "frequenc": [6, 66, 118, 146, 173, 241, 242, 243, 244, 246, 247, 263, 270, 281, 304, 384, 386, 396, 397], "invers": [6, 46, 58, 59, 98, 110, 137, 146, 148, 149, 153, 160, 167, 170, 180, 185, 196, 207, 253, 255, 256, 260, 307, 310, 355, 359, 368, 369, 377, 378, 383, 417], "fmri_glm": [6, 64, 67, 70, 71, 162], "inspect": [6, 40, 48, 55, 66, 67, 70, 89, 92, 148, 153, 168, 263, 276], "repres": [6, 15, 20, 33, 35, 51, 52, 54, 55, 69, 76, 79, 94, 111, 127, 139, 146, 147, 148, 151, 152, 161, 163, 165, 166, 168, 171, 172, 173, 190, 193, 207, 235, 236, 238, 263, 276, 285, 296, 307, 308, 309, 310, 311, 312, 327, 328, 329, 330, 331, 332, 334, 337, 339, 341, 343, 345, 347, 349, 354, 359, 364, 368, 386, 389, 395, 399, 401, 415], "predictor": [6, 40, 162, 163, 255, 256, 305], "design_matrix": [6, 41, 61, 62, 65, 66, 69, 70, 71, 75, 76, 77, 78, 79, 80, 81, 108, 264, 270, 276, 277, 278, 306, 360, 361, 414], "design_matrices_": [6, 65, 66, 70, 100], "formal": 6, "taken": [6, 66, 100, 154, 160, 266, 276, 278, 297, 309, 310, 312, 386], "implictili": 6, "plot_design_matrix": [6, 63, 65, 66, 73, 75, 78, 80, 100, 162, 165], "write": [6, 41, 64, 110, 114, 142, 144, 146, 160, 161, 169, 303, 324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 393], "o": [6, 40, 41, 62, 64, 72, 86, 100, 101, 108, 111, 122, 146, 161, 168, 186, 188, 198, 205, 218, 304], "outdir": [6, 72], "mkdir": [6, 64, 72], "output_fil": [6, 15, 23, 336, 357, 358, 359, 360, 361, 362, 363, 364, 365, 367, 368, 370, 371, 372, 373, 374, 375, 376, 415], "png": [6, 9, 15, 23, 61, 167, 324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 357, 358, 359, 360, 361, 362, 363, 364, 365, 367, 368, 370, 371, 372, 373, 374, 375, 376, 415], "profil": [6, 160, 250, 254], "region": [6, 10, 15, 16, 19, 23, 40, 42, 43, 44, 46, 48, 49, 52, 55, 56, 58, 59, 66, 70, 71, 83, 96, 99, 110, 111, 120, 124, 126, 127, 130, 135, 138, 140, 142, 146, 147, 149, 152, 153, 159, 162, 163, 166, 168, 170, 172, 178, 188, 190, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 206, 207, 210, 219, 222, 248, 249, 286, 288, 291, 293, 294, 298, 300, 305, 307, 309, 310, 312, 335, 353, 354, 355, 356, 357, 359, 362, 369, 370, 371, 372, 374, 375, 377, 378, 393, 415, 417], "xlabel": [6, 25, 30, 32, 34, 42, 48, 49, 51, 55, 58, 68, 99, 172], "access": [6, 33, 48, 56, 61, 62, 64, 66, 75, 111, 113, 142, 146, 148, 152, 160, 161, 162, 168, 170, 171, 173, 187, 188, 191, 196, 197, 198, 201, 202, 225, 228, 229, 231, 251, 336, 405, 417], "beta": [6, 26, 39, 42, 66, 71, 97, 109, 110, 111, 143, 162, 166, 213, 218, 241, 242, 243, 244, 250, 253, 254, 255, 256, 263, 266, 282, 307, 311, 312, 335, 361, 372], "role": [6, 142, 146], "potenti": [6, 55, 91, 94, 100, 111, 141, 146, 158, 161, 166, 169, 199, 278], "weight": [6, 29, 39, 42, 43, 44, 113, 114, 135, 146, 147, 154, 156, 157, 160, 161, 163, 173, 211, 221, 223, 241, 242, 243, 244, 246, 247, 260, 303, 378, 390, 417], "associ": [6, 14, 47, 72, 75, 77, 105, 153, 158, 163, 165, 166, 188, 226, 245, 251, 278, 304, 305, 322, 394, 401], "nutshel": 6, "combin": [6, 15, 40, 41, 102, 104, 111, 141, 146, 153, 158, 163, 166, 173, 220, 241, 242, 243, 244, 246, 247, 248, 249, 263, 276, 304, 341, 342, 345, 346, 347, 348, 360], "consid": [6, 32, 39, 53, 54, 55, 66, 68, 80, 92, 94, 102, 104, 113, 122, 135, 142, 146, 158, 161, 202, 241, 242, 243, 244, 246, 247, 248, 249, 250, 254, 263, 265, 266, 270, 276, 278, 285, 291, 302, 308, 310, 311, 316, 319, 322, 326, 371, 384, 387, 389, 390], "two": [6, 14, 24, 25, 34, 40, 48, 55, 56, 58, 60, 66, 67, 73, 74, 77, 82, 86, 88, 89, 94, 98, 100, 101, 102, 108, 110, 114, 127, 130, 135, 138, 139, 146, 147, 150, 152, 153, 155, 157, 158, 160, 161, 162, 163, 165, 166, 167, 168, 169, 171, 172, 173, 180, 184, 190, 209, 216, 229, 241, 242, 243, 244, 248, 249, 253, 255, 256, 263, 270, 276, 277, 278, 282, 288, 293, 296, 304, 305, 310, 312, 322, 334, 361, 364, 366, 367, 372, 373, 374, 375, 376, 377, 382, 384, 386, 387, 388, 393, 394, 395, 400, 401, 415, 417], "isol": [6, 70, 71, 100, 153, 163], "active_minus_rest": 6, "plot_contrast_matrix": [6, 62, 65, 66], "axessubplot": [6, 65, 66], "label": [6, 9, 22, 23, 29, 30, 31, 32, 33, 34, 35, 36, 37, 40, 41, 42, 43, 47, 49, 52, 53, 54, 58, 65, 66, 68, 69, 83, 91, 94, 96, 98, 100, 102, 103, 108, 110, 111, 113, 124, 127, 132, 135, 139, 140, 142, 144, 146, 148, 150, 153, 154, 156, 158, 161, 166, 168, 171, 172, 173, 188, 192, 193, 194, 195, 196, 197, 198, 200, 201, 202, 204, 206, 210, 220, 241, 242, 243, 244, 245, 246, 247, 259, 263, 266, 270, 272, 277, 301, 304, 305, 309, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 354, 355, 357, 358, 362, 364, 365, 369, 371, 372, 373, 374, 375, 376, 377, 378, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 399], "below": [6, 9, 16, 20, 22, 39, 44, 49, 52, 54, 58, 65, 70, 94, 111, 127, 146, 150, 153, 154, 158, 160, 161, 162, 163, 165, 168, 172, 173, 179, 180, 182, 186, 207, 241, 242, 243, 244, 246, 247, 249, 301, 324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 357, 364, 365, 367, 371, 372, 373, 376, 379, 384, 386, 396, 397, 415, 416], "unit": [6, 15, 55, 57, 92, 103, 104, 111, 151, 153, 159, 160, 161, 173, 245, 255, 256, 278, 281, 308, 309, 310, 311, 312, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 396, 397], "account": [6, 66, 76, 94, 158, 169, 173, 304, 309, 310, 312, 386], "eff_map": 6, "compute_contrast": [6, 33, 61, 62, 64, 65, 66, 67, 69, 70, 71, 75, 76, 77, 79, 80, 81, 100, 101, 108, 162, 263, 276, 278, 395], "output_typ": [6, 61, 64, 65, 66, 67, 70, 71, 75, 76, 77, 79, 80, 81, 100, 105, 263, 276, 322], "effect_s": [6, 67, 80, 100, 166, 251, 263, 276], "form": [6, 33, 40, 44, 49, 72, 147, 148, 150, 151, 163, 166, 171, 178, 179, 180, 226, 227, 241, 242, 243, 244, 245, 246, 247, 248, 249, 258, 263, 266, 270, 276, 278, 279, 301, 302, 307, 308, 309, 310, 311, 312, 322, 366, 379, 383, 384, 385, 386, 394, 395], "scale": [6, 15, 41, 49, 54, 61, 68, 70, 71, 72, 94, 111, 114, 125, 132, 142, 146, 154, 158, 173, 190, 216, 221, 223, 235, 236, 238, 246, 247, 250, 253, 254, 255, 256, 258, 263, 271, 276, 278, 279, 308, 309, 310, 311, 312, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 383, 384, 385, 394, 395, 397, 401, 417], "gaussian": [6, 44, 94, 111, 147, 160, 163, 173, 174, 179, 182, 298], "z_map": [6, 33, 61, 62, 64, 65, 66, 70, 71, 75, 76, 77, 79, 81, 101, 263, 276], "z_score": [6, 61, 64, 65, 66, 67, 69, 70, 71, 75, 76, 77, 79, 80, 81, 108, 251, 263, 276], "top": [6, 12, 15, 17, 25, 44, 56, 63, 103, 138, 146, 161, 168, 169, 172, 240, 359, 364, 365, 368, 370, 371, 372, 379, 415], "axial": [6, 14, 94, 263, 276, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 352, 357, 359, 362, 364, 365, 368, 370, 371, 372, 395], "view": [6, 13, 14, 16, 22, 23, 33, 37, 42, 52, 54, 58, 61, 62, 64, 66, 71, 75, 84, 102, 129, 138, 140, 144, 146, 153, 158, 160, 168, 173, 241, 242, 243, 244, 248, 249, 296, 308, 311, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 367, 370, 373, 375, 376, 378, 379, 381, 384, 415], "black_bg": [6, 13, 14, 36, 71, 141, 146, 324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 357, 359, 362, 364, 365, 368, 370, 371, 372, 379, 380, 382], "minu": [6, 114, 163], "worri": [6, 24, 113], "valid": [6, 28, 32, 33, 36, 37, 40, 42, 44, 45, 51, 99, 102, 105, 106, 107, 110, 122, 125, 138, 142, 143, 146, 147, 149, 154, 157, 173, 180, 193, 210, 218, 241, 242, 243, 244, 245, 246, 247, 263, 264, 265, 270, 281, 285, 288, 293, 298, 299, 304, 305, 309, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 357, 358, 359, 360, 361, 362, 363, 364, 365, 367, 368, 370, 371, 372, 373, 374, 375, 376, 377, 382, 389, 394, 399, 400, 401, 417], "procedur": [6, 31, 76, 77, 79, 84, 87, 102, 148, 153, 158, 163, 166, 216, 262, 278, 322, 410], "arbitrari": [6, 48, 50, 65, 76, 163, 245, 276], "risk": 6, "aka": [6, 66, 108, 150, 163, 258], "control": [6, 8, 9, 11, 14, 15, 20, 23, 27, 33, 38, 40, 48, 56, 76, 79, 98, 110, 111, 120, 128, 129, 133, 135, 139, 146, 147, 151, 152, 153, 154, 157, 158, 160, 161, 163, 166, 170, 186, 214, 221, 223, 249, 258, 262, 263, 276, 279, 282, 293, 300, 304, 305, 324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 357, 362, 364, 365, 371, 372, 373, 375, 376, 377, 383, 395, 401, 415, 417], "posit": [6, 14, 16, 17, 24, 48, 51, 58, 66, 71, 74, 79, 80, 81, 82, 84, 94, 99, 110, 111, 113, 138, 142, 146, 153, 158, 160, 163, 165, 166, 173, 179, 182, 186, 216, 218, 258, 263, 276, 278, 279, 300, 322, 324, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 353, 356, 357, 359, 362, 364, 365, 368, 370, 371, 372, 376, 377, 379, 380, 394, 395, 401, 415], "fpr": [6, 33, 81, 165, 166, 263, 276, 279, 395], "alpha": [6, 15, 23, 24, 37, 39, 40, 44, 48, 57, 68, 75, 76, 77, 81, 106, 144, 147, 152, 159, 163, 179, 180, 182, 246, 247, 249, 253, 255, 256, 258, 262, 263, 276, 279, 300, 324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 359, 364, 368, 370, 371, 373, 375, 376, 395, 415], "certain": [6, 56, 132, 146, 153, 163, 221, 296, 370], "g": [6, 9, 14, 24, 30, 31, 40, 42, 43, 47, 48, 49, 55, 61, 64, 67, 68, 92, 94, 99, 100, 111, 114, 140, 144, 146, 148, 152, 158, 160, 161, 162, 163, 165, 166, 168, 172, 173, 191, 201, 218, 225, 241, 242, 243, 244, 248, 255, 256, 263, 270, 276, 280, 283, 300, 304, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 359, 370, 373, 374, 375, 376, 378, 379, 380, 382, 389, 390, 391, 401, 415], "001": [6, 41, 43, 44, 62, 76, 79, 80, 81, 101, 163, 179, 180, 182, 246, 247, 263, 276, 279, 395], "chanc": [6, 33, 37, 51, 77, 79, 139, 146, 157, 158, 163, 417], "declar": [6, 163, 179, 182], "inact": [6, 163, 169], "threshold_stats_img": [6, 75, 77, 81, 165, 300], "_": [6, 22, 30, 37, 42, 49, 51, 62, 75, 77, 80, 94, 98, 100, 101, 102, 105, 106, 108, 140, 144, 146, 153, 161, 226, 227, 266, 303], "height_control": [6, 75, 77, 81, 263, 276, 279, 395], "uncorrect": [6, 62, 76, 79, 80, 81, 101], "291": [6, 33, 41, 66, 72, 96], "n_voxel": [6, 55, 77, 79, 92, 98, 153, 156, 163, 248, 251, 253, 255, 256, 259, 263, 271, 272, 386], "ten": [6, 81, 384], "hundr": [6, 49, 384], "conserv": [6, 77, 79, 102, 158, 163, 179, 184], "solut": [6, 65, 66, 147, 148, 154, 159, 160, 168, 171, 249], "famili": [6, 81, 102, 129, 144, 146, 158, 166, 278, 322, 386, 388], "wise": [6, 15, 40, 47, 55, 81, 94, 100, 102, 144, 146, 158, 162, 166, 173, 241, 242, 243, 244, 278, 322], "probabl": [6, 11, 21, 31, 32, 39, 43, 47, 48, 61, 66, 77, 79, 81, 92, 94, 148, 158, 160, 163, 166, 169, 194, 195, 225], "sai": [6, 65, 70, 98, 114, 163, 253], "bonferroni": [6, 81, 102, 105, 106, 158, 163, 166, 263, 276, 279, 395], "934": [6, 29, 45, 66, 73], "inde": [6, 42, 49, 86, 147, 148, 156, 163, 264, 415], "popular": [6, 48, 167, 168, 171, 241, 242], "proport": [6, 49, 51, 70, 74, 82, 99, 110, 151, 163, 165, 166, 216, 255, 258, 276, 368, 372, 377], "discoveri": [6, 23, 76, 77, 79, 81, 111, 163, 166, 168, 231], "among": [6, 79, 163, 166, 190, 241, 242, 243, 244], "fdr": [6, 75, 77, 81, 165, 166, 262, 263, 276, 279, 395], "904": 6, "discard": [6, 114, 163, 185, 221, 240, 266, 301, 316, 319, 401], "small": [6, 18, 49, 51, 58, 64, 65, 86, 99, 102, 103, 121, 123, 124, 146, 150, 151, 158, 160, 161, 168, 169, 245, 251, 281, 370, 371, 384, 387, 397, 401, 415], "cluster": [6, 19, 31, 32, 33, 39, 46, 59, 62, 74, 79, 81, 82, 86, 91, 110, 111, 135, 138, 142, 143, 144, 146, 149, 155, 156, 158, 163, 165, 166, 167, 168, 190, 191, 207, 216, 243, 244, 258, 263, 272, 276, 278, 279, 286, 288, 293, 300, 309, 322, 342, 362, 369, 371, 372, 377, 383, 384, 385, 389, 391, 394, 395, 417], "remov": [6, 30, 32, 33, 35, 40, 41, 42, 48, 50, 77, 86, 89, 103, 104, 105, 106, 111, 113, 118, 122, 126, 127, 128, 130, 132, 133, 135, 137, 138, 140, 142, 146, 154, 159, 160, 169, 170, 172, 225, 227, 263, 279, 281, 285, 287, 298, 300, 304, 305, 307, 308, 309, 310, 311, 312, 314, 315, 316, 318, 322, 370, 386, 387, 393, 396, 397, 398, 417], "cluster_threshold": [6, 61, 70, 81, 142, 146, 263, 276, 279, 300, 394, 395], "clean_map": 6, "zscore": [6, 135, 146, 248, 308, 309, 310, 311, 312, 397], "active_vs_rest_z_map": 6, "active_vs_rest_eff_map": 6, "furthermor": [6, 42, 55], "extract": [6, 22, 28, 30, 32, 40, 43, 45, 46, 48, 49, 59, 60, 62, 72, 73, 83, 86, 92, 94, 96, 98, 100, 101, 104, 110, 114, 119, 120, 127, 128, 130, 131, 132, 133, 139, 143, 144, 146, 149, 150, 153, 156, 164, 166, 168, 170, 178, 187, 193, 194, 196, 199, 204, 205, 207, 210, 218, 222, 225, 241, 242, 243, 244, 245, 248, 249, 263, 270, 276, 277, 278, 287, 288, 290, 293, 300, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 317, 319, 335, 354, 355, 356, 357, 359, 368, 369, 370, 372, 377, 378, 380, 384, 386, 387, 388, 389, 390, 391, 393, 395, 398, 401, 410, 415, 417], "report": [6, 49, 53, 54, 56, 70, 89, 91, 92, 103, 111, 135, 140, 142, 144, 146, 163, 164, 169, 173, 201, 258, 263, 276, 309, 310, 311, 322, 373, 375, 376, 386, 416], "tabl": [6, 33, 62, 70, 91, 101, 143, 146, 305, 394], "get_clusters_t": [6, 62, 70, 139, 143, 144, 146], "stat_threshold": [6, 70, 394], "20": [6, 21, 24, 30, 33, 36, 39, 42, 43, 44, 48, 50, 52, 53, 54, 55, 57, 58, 59, 62, 70, 72, 78, 81, 91, 94, 100, 102, 103, 105, 106, 111, 118, 120, 125, 146, 147, 151, 153, 190, 199, 218, 241, 242, 243, 244, 246, 247, 248, 249, 401], "id": [6, 33, 62, 70, 71, 103, 107, 114, 186, 188, 197, 198, 201, 221, 223, 231, 263, 394], "y": [6, 14, 15, 24, 31, 33, 34, 35, 36, 37, 40, 41, 42, 44, 52, 54, 58, 62, 70, 71, 84, 92, 94, 101, 102, 105, 106, 114, 127, 129, 132, 144, 146, 153, 154, 158, 166, 169, 172, 173, 178, 179, 180, 196, 219, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 253, 254, 255, 256, 263, 271, 272, 276, 278, 283, 307, 308, 309, 310, 311, 312, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 356, 357, 359, 362, 364, 365, 368, 370, 371, 372, 373, 374, 375, 376, 379, 382, 383, 384, 385, 386, 387, 394, 395, 415], "peak": [6, 33, 62, 64, 67, 70, 154, 156, 160, 353, 386, 388, 394], "stat": [6, 23, 33, 62, 64, 68, 76, 79, 94, 101, 103, 107, 108, 111, 144, 146, 164, 168, 172, 179, 182, 251, 263, 276, 303, 376, 380, 382, 394, 395, 415], "size": [6, 9, 15, 22, 23, 26, 33, 40, 44, 48, 49, 53, 62, 69, 77, 79, 80, 81, 84, 91, 94, 102, 103, 105, 108, 122, 132, 133, 135, 142, 146, 151, 158, 159, 160, 163, 218, 225, 263, 276, 278, 279, 300, 309, 310, 314, 317, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 359, 368, 369, 373, 375, 376, 378, 381, 383, 384, 385, 386, 387, 388, 394, 395, 401], "mm3": [6, 33, 62, 91, 386, 388, 394], "811979": 6, "4050": [6, 102], "1a": [6, 33, 62], "63": [6, 32, 33, 36, 42, 43, 44, 62, 77, 79, 93, 102, 111, 189, 197], "36": [6, 15, 16, 17, 33, 36, 41, 42, 43, 62, 90, 91, 93, 100, 102, 109, 129, 132, 146, 190, 415], "601922": 6, "1b": [6, 62], "435063": 6, "1c": [6, 62], "48": [6, 20, 33, 36, 42, 43, 44, 53, 62, 72, 87, 91, 96, 102, 189, 194, 196, 219], "39": [6, 14, 15, 27, 33, 36, 42, 43, 44, 51, 54, 72, 91, 102, 120, 122, 125, 146, 189, 196, 207], "364058": 6, "605128": 6, "1512": 6, "2a": [6, 62], "45": [6, 30, 32, 33, 42, 43, 55, 62, 91, 102, 105, 106], "590200": 6, "27": [6, 15, 16, 17, 33, 36, 42, 43, 44, 61, 62, 64, 67, 73, 90, 91, 93, 102, 103, 111, 305, 386, 388, 415], "253889": 6, "972": [6, 107, 109], "3a": [6, 62, 111, 201, 230], "51": [6, 9, 15, 27, 30, 33, 36, 41, 42, 43, 48, 53, 62, 79, 82, 102, 111, 152, 190, 248], "968355": 6, "3b": 6, "54": [6, 33, 36, 42, 43, 44, 62, 79, 82, 91, 100, 102, 111, 190, 211, 236], "565609": 6, "087451": 6, "1188": 6, "18": [6, 30, 33, 36, 42, 43, 44, 53, 55, 58, 62, 72, 88, 91, 96, 102, 103, 107, 111, 116, 125, 132, 142, 146, 173, 207, 218, 245, 373, 375, 376, 415], "807510": 6, "594": [6, 33], "5a": [6, 33, 62], "21": [6, 25, 27, 33, 36, 42, 43, 48, 54, 58, 62, 63, 66, 77, 91, 102, 103, 105, 109, 122, 140, 146, 231], "646352": 6, "5b": [6, 33, 62], "33": [6, 30, 33, 36, 42, 43, 44, 45, 48, 49, 62, 72, 91, 102, 111, 191, 207], "416271": 6, "57": [6, 30, 33, 42, 43, 44, 62, 91, 102, 111, 115, 118, 132, 146, 190], "710963": 6, "702": [6, 33], "6a": [6, 62], "633746": 6, "6b": 6, "66": [6, 16, 17, 33, 36, 42, 43, 62, 90, 93, 102], "796135": 6, "16": [6, 13, 25, 27, 30, 32, 33, 34, 36, 39, 42, 43, 44, 48, 49, 54, 62, 66, 68, 76, 77, 79, 80, 84, 91, 102, 103, 105, 109, 133, 140, 146, 160, 172, 197, 310, 386, 415], "6c": 6, "69": [6, 33, 36, 42, 43, 44, 72, 79, 102], "254544": 6, "17": [6, 10, 27, 30, 32, 33, 36, 42, 43, 47, 62, 76, 77, 80, 82, 91, 102, 103, 111, 132, 146, 160, 188, 198, 202, 218], "93": [6, 30, 32, 33, 36, 42, 43, 44, 77, 91, 102, 192], "522477": 6, "621": [6, 33], "7a": [6, 33, 62], "99": [6, 12, 30, 32, 33, 42, 43, 44, 58, 93, 102, 141, 146, 288, 324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350], "713852": 6, "19": [6, 33, 36, 42, 43, 44, 45, 48, 53, 58, 62, 66, 73, 77, 91, 102, 103, 111, 120, 122, 135, 146, 187, 188, 196, 197, 198, 201, 202, 225, 228, 229, 255, 256], "7b": 6, "90": [6, 9, 12, 22, 30, 32, 33, 36, 42, 43, 44, 47, 50, 53, 56, 63, 77, 79, 91, 102, 103, 105, 111, 120, 133, 141, 146, 151, 304, 305, 379, 398, 415], "270733": 6, "7c": 6, "085568": 6, "24": [6, 33, 36, 42, 43, 44, 51, 59, 62, 70, 91, 102, 103, 140, 146, 263, 265, 266, 270, 304], "331806": 6, "648": [6, 33, 62], "8a": [6, 33], "700088": 6, "23": [6, 30, 33, 36, 42, 43, 44, 48, 50, 58, 59, 62, 67, 72, 73, 91, 100, 101, 102, 103, 107, 109, 111, 190, 199, 247], "8b": 6, "037845": 6, "8c": 6, "527477": 6, "25": [6, 15, 30, 32, 33, 36, 40, 41, 42, 43, 44, 48, 54, 59, 62, 77, 91, 92, 94, 95, 96, 98, 102, 103, 105, 115, 146, 148, 218, 253, 255, 256, 327, 328, 329, 330, 331, 332, 334, 337, 339, 341, 343, 345, 347, 349, 359, 370, 378, 380, 381, 382], "835099": 6, "837": 6, "26": [6, 7, 33, 36, 42, 43, 44, 59, 61, 62, 72, 75, 91, 102, 103, 125, 146, 387], "9a": 6, "615642": 6, "9b": 6, "091568": 6, "to_csv": [6, 72], "baselin": [6, 30, 32, 111, 138, 139, 146, 154, 156, 189, 251, 271], "anoth": [6, 39, 66, 69, 79, 89, 124, 129, 146, 153, 160, 161, 163, 168, 170, 171, 178, 246, 247, 282, 283, 302, 393, 415, 417], "seek": [6, 77, 105, 152, 370], "whether": [6, 9, 70, 89, 94, 102, 133, 146, 153, 161, 163, 169, 173, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 198, 199, 200, 202, 207, 210, 211, 212, 216, 218, 219, 220, 221, 223, 225, 231, 248, 249, 260, 278, 279, 285, 300, 307, 308, 311, 314, 315, 316, 318, 322, 323, 325, 326, 364, 372, 373, 374, 376, 384, 386, 394, 395, 397, 398], "possibli": [6, 66, 173], "three": [6, 14, 19, 24, 32, 40, 49, 63, 65, 66, 75, 89, 94, 111, 133, 141, 146, 160, 161, 169, 171, 207, 263, 276, 296, 298, 333, 335, 338, 352, 357, 359, 362, 363, 364, 365, 368, 370, 371, 372, 395, 401], "higher": [6, 64, 67, 113, 127, 146, 147, 158, 163, 179, 199, 241, 242, 243, 244, 246, 247, 248, 249, 263, 276, 282, 293, 308, 309, 310, 311, 312, 384, 385, 386, 396], "dimension": [6, 26, 49, 71, 94, 122, 139, 144, 146, 160, 168, 184, 185, 193, 199, 218, 248, 249, 251, 282, 321, 383, 384, 385], "explain": [6, 40, 42, 48, 56, 66, 70, 138, 146, 150, 153, 161, 163, 168, 173, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400, 401], "might": [6, 34, 61, 104, 152, 156, 158, 163, 166, 169, 171, 192, 207, 270, 299, 305, 314, 315, 316, 318, 382], "specif": [6, 14, 15, 16, 17, 30, 32, 33, 48, 49, 61, 62, 63, 64, 65, 66, 67, 69, 71, 76, 79, 80, 84, 94, 101, 108, 111, 112, 117, 125, 138, 144, 146, 147, 150, 151, 152, 153, 154, 156, 158, 161, 163, 165, 166, 168, 169, 170, 173, 208, 218, 223, 226, 227, 251, 253, 255, 256, 277, 281, 301, 303, 310, 322, 354, 373, 374, 375, 376, 382, 386, 397, 399, 400, 401, 415, 417], "exactli": [6, 84, 94, 98, 108, 160, 161, 241, 242, 243, 244, 245, 301, 379, 401], "effects_of_interest": [6, 64, 70, 71], "vstack": [6, 40, 41, 58, 70, 71, 75, 80, 103], "easier": [6, 66, 121, 126, 141, 146, 152, 153, 160, 161], "oop": 6, "lot": [6, 65, 71, 86, 118, 132, 135, 146, 147, 153, 154, 160, 161, 182], "non": [6, 15, 39, 42, 50, 56, 65, 66, 68, 77, 79, 91, 94, 102, 103, 112, 128, 132, 135, 139, 140, 142, 143, 146, 147, 151, 152, 158, 159, 160, 161, 165, 166, 168, 173, 191, 218, 225, 241, 242, 243, 244, 248, 253, 255, 256, 263, 281, 285, 290, 296, 298, 304, 305, 307, 308, 309, 310, 311, 312, 313, 316, 324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 353, 357, 371, 372, 373, 375, 376, 386, 391, 397, 415, 417], "neural": [6, 68, 111, 152, 163, 166, 168, 173, 208, 226, 245], "ventricl": 6, "arteri": 6, "281": [6, 7, 33, 41, 95, 96], "268": [6, 33, 41], "plot_single_subject_single_run": [6, 7], "41": [7, 22, 31, 32, 33, 36, 42, 43, 44, 45, 49, 64, 72, 73, 80, 82, 91, 96, 102, 111, 385], "712": [7, 33], "execut": [7, 27, 45, 59, 73, 82, 87, 96, 109, 110, 161, 168, 173, 296, 373, 415], "auto_examples_00_tutori": 7, "00": [7, 27, 30, 32, 33, 36, 42, 44, 45, 48, 53, 59, 73, 82, 89, 96, 102, 105, 109], "915": [7, 27, 40, 41, 45, 109, 111, 220], "267": [7, 33, 41, 111, 304, 305], "134": [7, 33, 41, 93, 141, 146], "06": [7, 22, 23, 27, 30, 32, 33, 36, 45, 73, 91, 109, 111, 190, 200, 245, 324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 372, 379], "218": [7, 33, 41, 72, 101, 109, 194, 195, 198], "glass": [8, 9, 27, 47, 61, 107, 110, 125, 126, 127, 129, 130, 135, 138, 146, 167, 168, 224, 232, 263, 276, 327, 328, 329, 330, 331, 332, 334, 337, 339, 341, 343, 345, 347, 349, 359, 364, 368, 372, 377, 378, 381, 395, 415], "megatrawl": [8, 27, 110, 111, 122, 146, 218, 369, 377], "connectom": [8, 12, 22, 27, 46, 48, 49, 51, 54, 56, 57, 59, 99, 110, 111, 116, 120, 124, 125, 129, 132, 133, 135, 138, 140, 146, 149, 151, 152, 166, 167, 168, 173, 186, 193, 196, 202, 204, 205, 207, 218, 248, 249, 288, 305, 307, 309, 310, 312, 335, 354, 355, 356, 357, 359, 368, 369, 370, 372, 377, 378, 379, 381, 386, 417], "atla": [8, 11, 27, 46, 48, 50, 59, 83, 91, 94, 96, 110, 111, 114, 119, 123, 124, 126, 127, 128, 129, 132, 135, 138, 139, 140, 141, 143, 144, 146, 149, 151, 160, 166, 172, 173, 178, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 205, 207, 211, 221, 230, 288, 300, 307, 309, 310, 335, 354, 355, 356, 358, 359, 369, 370, 371, 372, 375, 377, 378, 379, 380, 382, 386, 387, 388, 393, 400, 410, 415, 417], "multiscal": [8, 27, 40, 41, 110, 111, 123, 146, 190, 220, 371, 377], "parcel": [8, 9, 22, 23, 27, 46, 59, 110, 111, 114, 123, 127, 130, 131, 132, 135, 142, 144, 146, 149, 166, 167, 168, 173, 178, 188, 190, 191, 192, 194, 195, 196, 198, 200, 202, 207, 218, 221, 286, 288, 293, 304, 305, 307, 309, 342, 354, 355, 359, 362, 369, 371, 377, 386, 387, 415, 417], "colormap": [8, 19, 21, 23, 27, 86, 110, 127, 130, 131, 132, 133, 135, 140, 146, 202, 327, 328, 329, 330, 331, 332, 334, 337, 339, 341, 343, 345, 347, 349, 357, 358, 359, 362, 363, 364, 365, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 382, 417], "probabilist": [8, 27, 46, 51, 59, 99, 110, 111, 132, 143, 146, 149, 166, 172, 173, 178, 189, 191, 193, 194, 195, 196, 197, 199, 207, 211, 288, 307, 310, 335, 354, 355, 359, 369, 370, 371, 372, 377, 378, 390, 393, 415, 417], "mode": [8, 14, 16, 21, 27, 55, 60, 73, 83, 94, 96, 110, 111, 125, 130, 133, 139, 144, 146, 161, 162, 167, 172, 173, 187, 193, 196, 199, 218, 221, 223, 258, 263, 270, 288, 307, 310, 312, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 356, 367, 370, 372, 377, 386, 393, 395, 417], "msdl": [8, 21, 27, 52, 54, 110, 148, 172, 196, 288, 335, 354, 370, 372, 377, 415], "global": [8, 27, 110, 111, 138, 146, 160, 171, 186, 187, 198, 211, 232, 248, 249, 282, 294, 304, 305, 316, 358, 384], "carpet": [8, 27, 110, 138, 146, 187, 211, 282, 294, 316, 358], "haxbi": [8, 15, 16, 27, 28, 45, 94, 102, 110, 111, 113, 126, 127, 146, 157, 159, 167, 171, 173, 210, 241, 286, 288, 293, 307, 311, 350, 357, 369, 372, 377, 379, 415, 417], "technic": [8, 27, 64, 67, 100, 110, 147, 159, 160, 218, 225, 250, 254, 376, 377, 401], "illustr": [8, 27, 49, 66, 67, 68, 85, 90, 93, 101, 108, 110, 153, 161, 172, 173, 376, 377, 401], "surfac": [8, 12, 27, 28, 45, 55, 60, 73, 97, 109, 110, 111, 113, 127, 129, 131, 132, 133, 135, 138, 139, 142, 144, 146, 164, 166, 167, 192, 200, 210, 213, 217, 224, 230, 231, 251, 259, 266, 270, 272, 288, 322, 336, 359, 364, 367, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 417], "scheme": [8, 27, 29, 33, 36, 37, 98, 110, 138, 146, 147, 153, 154, 156, 160, 180, 241, 242, 243, 244, 322, 376, 377, 401], "seed": [8, 27, 46, 48, 59, 61, 100, 110, 132, 144, 146, 161, 162, 170, 200, 207, 230, 231, 243, 244, 263, 270, 272, 307, 311, 312, 322, 335, 372, 375, 376, 377, 378, 381, 386, 388, 399, 415, 417], "connect": [8, 22, 26, 27, 49, 50, 58, 59, 88, 94, 97, 109, 111, 120, 125, 127, 128, 135, 138, 143, 146, 148, 150, 152, 161, 162, 163, 166, 167, 172, 178, 179, 180, 186, 190, 196, 198, 199, 200, 202, 207, 213, 218, 230, 231, 263, 266, 279, 282, 290, 300, 304, 305, 307, 310, 311, 312, 314, 315, 316, 317, 318, 319, 320, 335, 356, 359, 361, 369, 372, 375, 376, 377, 378, 384, 387, 388, 399, 415, 416, 417], "cortic": [8, 23, 24, 27, 28, 45, 55, 64, 67, 69, 110, 111, 127, 129, 132, 138, 146, 148, 162, 167, 192, 200, 202, 206, 210, 211, 230, 288, 359, 375, 376, 377, 378, 379, 380, 381, 382, 400, 401, 417], "option": [8, 9, 13, 15, 21, 23, 27, 42, 51, 56, 68, 72, 89, 102, 105, 106, 110, 113, 118, 125, 127, 128, 129, 130, 135, 138, 139, 140, 141, 142, 144, 146, 148, 153, 155, 161, 162, 166, 168, 169, 171, 173, 178, 179, 180, 182, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 253, 254, 255, 256, 258, 259, 260, 263, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 285, 287, 291, 293, 294, 295, 296, 297, 298, 300, 301, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 352, 353, 354, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398, 401, 415], "onto": [9, 16, 23, 40, 50, 69, 127, 146, 151, 161, 167, 171, 315, 318, 361, 370, 415], "vol_to_surf": [9, 37, 69, 108, 129, 138, 140, 146, 162, 367, 373, 374, 375, 376, 380, 415], "plot_surf_stat_map": [9, 23, 24, 27, 37, 69, 108, 127, 129, 131, 135, 138, 142, 143, 144, 146, 162, 367, 373, 374, 417], "add": [9, 14, 15, 20, 40, 41, 50, 56, 63, 69, 102, 114, 119, 125, 127, 128, 130, 132, 135, 140, 144, 146, 151, 153, 156, 158, 161, 166, 169, 180, 197, 198, 221, 223, 239, 281, 304, 311, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 378, 380, 382, 397, 415], "contour": [9, 15, 18, 21, 48, 50, 87, 88, 127, 135, 138, 140, 144, 146, 324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 370, 371, 374, 417], "plot_surf_contour": [9, 138, 146], "stat_img": [9, 13, 14, 15, 16, 90, 93, 258, 263, 276, 279, 394, 395], "fsaverag": [9, 22, 23, 24, 37, 62, 69, 108, 132, 140, 146, 230, 367, 380, 401, 415], "fetch_surf_fsaverag": [9, 22, 23, 37, 69, 108, 132, 138, 140, 144, 146, 162, 200, 367, 373, 374, 375, 376, 380, 401, 415], "textur": [9, 69, 108, 401], "pial_right": [9, 69, 108, 230, 367, 380, 415], "fig": [9, 11, 18, 24, 38, 40, 41, 42, 49, 57, 63, 65, 66, 68, 79, 91, 100, 101, 105, 106, 367, 373, 415], "infl_right": [9, 69, 108, 230, 367, 380], "hemi": [9, 22, 23, 37, 69, 108, 373, 375, 376, 415], "right": [9, 12, 20, 22, 25, 32, 40, 44, 50, 58, 63, 65, 66, 69, 72, 76, 79, 80, 86, 94, 98, 108, 125, 130, 135, 138, 140, 146, 150, 151, 157, 161, 168, 172, 186, 192, 194, 195, 200, 214, 216, 224, 230, 231, 243, 244, 263, 276, 277, 295, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 354, 357, 359, 360, 362, 364, 365, 367, 368, 369, 370, 371, 372, 373, 375, 376, 380, 395, 415, 417], "hemispher": [9, 22, 23, 37, 58, 79, 86, 94, 108, 125, 126, 130, 146, 151, 172, 192, 200, 201, 230, 231, 263, 276, 299, 331, 354, 359, 364, 367, 368, 373, 375, 376, 380, 395, 415], "bg_map": [9, 22, 23, 37, 69, 108, 373, 375, 376, 382, 415], "sulc_right": [9, 69, 108, 230, 367, 380, 415], "recent": [9, 126, 129, 130, 132, 142, 146, 152, 169], "instal": [9, 110, 127, 132, 135, 142, 143, 146, 169, 194, 195, 283, 310, 373, 375, 376, 386, 415, 417], "configur": [9, 15, 161, 168, 172, 173, 305], "instead": [9, 32, 35, 36, 40, 41, 42, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 58, 61, 62, 66, 70, 89, 91, 92, 94, 98, 99, 100, 102, 103, 104, 105, 106, 113, 120, 122, 125, 126, 128, 129, 130, 132, 135, 139, 141, 142, 143, 144, 146, 159, 160, 161, 162, 172, 173, 225, 247, 253, 322], "graph_object": 9, "noqa": 9, "f401": 9, "except": [9, 49, 52, 53, 57, 58, 63, 78, 100, 103, 139, 142, 146, 159, 247, 291, 322], "importerror": [9, 52, 53, 57, 58, 63, 78, 135, 146], "f": [9, 29, 34, 40, 41, 42, 64, 66, 71, 72, 75, 80, 98, 100, 102, 105, 106, 108, 111, 153, 156, 158, 159, 162, 188, 199, 204, 206, 208, 211, 218, 226, 241, 242, 243, 244, 251, 252, 253, 255, 256, 259, 263, 264, 276, 296, 297, 303, 304, 305, 313, 321, 389, 391], "specifi": [9, 14, 15, 32, 48, 50, 56, 61, 62, 66, 69, 71, 75, 78, 80, 81, 84, 86, 89, 94, 95, 101, 107, 108, 114, 119, 129, 132, 133, 135, 138, 139, 140, 141, 142, 144, 146, 147, 148, 158, 160, 162, 163, 168, 169, 171, 172, 173, 194, 195, 199, 221, 222, 224, 226, 233, 234, 235, 236, 237, 238, 241, 242, 243, 244, 246, 247, 248, 249, 253, 255, 256, 259, 263, 266, 270, 271, 272, 276, 277, 281, 285, 293, 296, 298, 304, 313, 314, 316, 317, 319, 324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 357, 358, 362, 364, 365, 367, 369, 370, 371, 372, 373, 375, 376, 379, 381, 384, 386, 395, 396, 397, 401, 415], "js_plotting_util": [9, 132, 146], "81": [9, 30, 33, 36, 42, 43, 44, 102, 116, 146], "vmin": [9, 36, 40, 44, 49, 50, 52, 53, 54, 56, 57, 58, 80, 84, 118, 133, 135, 146, 151, 357, 358, 362, 364, 365, 370, 371, 372, 373, 375, 376, 379, 380, 382], "chosen": [9, 22, 66, 100, 160, 178, 373, 376, 379, 380, 382, 401], "symmetr": [9, 19, 47, 128, 146, 160, 184, 185, 190, 194, 195, 211, 327, 328, 329, 330, 331, 332, 334, 337, 339, 341, 343, 345, 347, 349, 359, 367, 372, 373, 376, 378, 379, 380, 382], "matplolib": 9, "With": [9, 14, 32, 56, 78, 89, 156, 160, 163, 168, 179, 182, 259, 305, 400], "custom": [9, 15, 23, 47, 68, 132, 140, 142, 146, 158, 170, 263, 265, 270, 336, 373, 393, 415, 417], "plotlysurfacefigur": [9, 142, 146, 373], "similar": [9, 23, 24, 30, 48, 55, 79, 94, 100, 101, 113, 120, 132, 133, 135, 142, 146, 147, 150, 152, 154, 155, 158, 165, 166, 173, 243, 244, 305], "api": [9, 44, 104, 142, 144, 161, 169, 318, 383, 385], "static": [9, 324, 379], "requir": [9, 20, 36, 42, 47, 55, 63, 68, 69, 72, 75, 78, 93, 114, 120, 125, 127, 129, 138, 142, 143, 146, 148, 151, 156, 158, 160, 161, 163, 166, 168, 169, 171, 172, 173, 180, 225, 279, 299, 304, 305, 310, 322, 386, 387, 415, 416], "kaleido": [9, 142, 146, 373, 375, 376, 415, 416], "uncom": [9, 16, 22, 52, 54, 58], "savefig": [9, 15, 41, 55, 61, 324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 357, 359, 362, 364, 365, 368, 370, 371, 372, 415], "right_hemispher": 9, "plot_glass_brain": [9, 13, 14, 62, 79, 80, 101, 105, 107, 125, 135, 143, 144, 146, 165, 168, 327, 328, 329, 330, 331, 332, 334, 337, 339, 341, 343, 345, 347, 349, 372, 415], "plot_ab": [9, 14, 62, 79, 80, 101, 105, 326, 364, 415], "rang": [9, 10, 15, 18, 21, 23, 41, 44, 47, 48, 49, 50, 53, 55, 57, 62, 68, 70, 78, 79, 80, 87, 88, 91, 95, 100, 102, 125, 129, 139, 146, 160, 161, 168, 179, 182, 193, 280, 300, 364, 372, 376, 378, 379, 380, 382], "xslicer": [9, 15, 344, 350, 352], "0x7f124dc63160": 9, "destrieux_atla": [9, 22, 23], "fetch_atlas_surf_destrieux": [9, 22, 23, 127, 146, 415], "map_right": [9, 200], "regions_dict": 9, "b": [9, 14, 15, 23, 30, 40, 41, 49, 56, 58, 72, 91, 111, 114, 161, 169, 188, 192, 198, 199, 202, 208, 218, 226, 230, 254, 304, 305, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 415], "g_postcentr": 9, "postcentr": [9, 91], "gyru": [9, 91, 201], "g_precentr": 9, "precentr": [9, 91], "regions_indic": 9, "legend": [9, 18, 30, 32, 34, 42, 43, 49, 58, 68, 91, 374], "color": [9, 14, 15, 18, 21, 24, 30, 32, 34, 49, 50, 51, 70, 86, 88, 133, 135, 138, 140, 144, 146, 150, 151, 161, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 357, 358, 359, 362, 363, 364, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 378, 379, 380, 381, 382, 415], "k": [9, 18, 22, 30, 32, 34, 35, 41, 42, 49, 51, 68, 81, 84, 91, 98, 111, 153, 156, 158, 160, 180, 208, 218, 226, 241, 242, 243, 244, 246, 247, 255, 256, 263, 272, 281, 304, 305, 309, 324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 357, 359, 362, 364, 365, 368, 370, 371, 372, 383, 397], "low": [9, 42, 66, 71, 94, 104, 132, 138, 146, 153, 159, 160, 161, 163, 169, 171, 172, 173, 230, 241, 242, 243, 244, 246, 247, 281, 304, 367, 380, 384, 386, 396, 397], "fsaverage5": [9, 22, 23, 24, 37, 69, 108, 127, 132, 146, 200, 230, 231, 367, 380, 401], "high": [9, 31, 39, 49, 56, 65, 66, 89, 94, 111, 132, 138, 139, 140, 146, 154, 155, 160, 161, 163, 166, 168, 169, 172, 173, 188, 197, 218, 230, 241, 242, 243, 244, 246, 247, 251, 263, 270, 281, 304, 305, 307, 308, 309, 310, 311, 312, 367, 380, 384, 386, 396, 397], "finer": [9, 324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350], "big_fsaverag": 9, "big_textur": 9, "fine": [9, 89, 111, 126, 146, 148, 173, 193, 245, 248, 249, 304, 308, 311, 384, 415], "470x400": [9, 23, 108], "ax": [9, 10, 11, 18, 21, 22, 23, 24, 38, 40, 49, 51, 57, 63, 65, 66, 70, 75, 78, 79, 80, 84, 91, 100, 101, 105, 108, 129, 139, 140, 146, 295, 296, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 357, 358, 359, 360, 361, 362, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376], "plot_img_on_surf": [9, 138, 140, 146], "choic": [9, 19, 66, 68, 71, 122, 146, 147, 148, 154, 156, 157, 160, 161, 180, 246, 247, 324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 354, 386, 417], "orient": [9, 135, 138, 146, 160, 161, 295], "surf_mesh": [9, 367, 373, 374, 375, 376, 380, 382, 400, 401, 415], "freesurf": [9, 22, 23, 69, 108, 127, 132, 144, 146, 162, 200, 230, 373, 374, 375, 376, 382, 399, 400, 401], "medial": [9, 23, 37, 58, 91, 111, 158, 367, 373, 375, 376], "left": [9, 12, 20, 22, 23, 25, 30, 34, 37, 40, 44, 49, 50, 51, 58, 63, 65, 66, 68, 72, 76, 77, 79, 80, 86, 94, 101, 105, 108, 125, 126, 130, 135, 138, 140, 146, 151, 168, 172, 186, 192, 194, 195, 200, 214, 216, 224, 230, 231, 263, 276, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 354, 357, 358, 359, 362, 364, 365, 367, 368, 369, 370, 371, 372, 373, 375, 376, 380, 395], "view_surf": [9, 22, 132, 135, 146, 378, 379, 380, 381, 417], "view_img_on_surf": [9, 132, 133, 135, 140, 146, 378, 379, 381, 382, 417], "atlas": [9, 10, 21, 22, 46, 58, 59, 110, 111, 114, 139, 140, 146, 149, 152, 161, 163, 166, 171, 172, 178, 193, 194, 195, 202, 207, 211, 236, 307, 309, 310, 354, 355, 359, 370, 371, 374, 375, 377, 378, 379, 381, 417], "output": [9, 16, 22, 33, 34, 36, 41, 44, 51, 52, 54, 56, 58, 66, 67, 69, 80, 94, 108, 112, 113, 124, 130, 142, 144, 146, 147, 152, 157, 161, 166, 170, 172, 173, 178, 179, 181, 182, 183, 184, 185, 241, 242, 243, 244, 245, 246, 247, 248, 249, 253, 255, 256, 263, 276, 278, 280, 281, 282, 283, 285, 286, 287, 288, 289, 290, 291, 293, 295, 296, 297, 298, 299, 303, 304, 305, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 353, 357, 358, 364, 365, 367, 370, 371, 372, 379, 380, 384, 386, 389, 390, 391, 392, 395, 401, 415, 417], "cell": [9, 16, 22, 36, 49, 52, 53, 54, 58, 62, 75, 77, 163, 166], "open": [9, 16, 22, 52, 54, 58, 89, 91, 92, 98, 108, 111, 160, 161, 166, 167, 170, 175, 207, 225, 251, 263, 276, 314, 315, 316, 317, 318, 319, 378, 379, 380, 381, 382, 385, 393, 395, 415, 416, 417], "open_in_brows": [9, 16, 22, 33, 52, 54, 58, 61, 62, 64, 75, 91, 92, 132, 146, 173, 378, 379, 380, 381, 382, 393, 395, 415], "don": [9, 24, 33, 66, 81, 114, 161, 168, 169, 221, 223, 367, 401, 415], "ourselv": 9, "vol_to_surf_kwarg": [9, 140, 146, 380], "allow": [9, 20, 24, 40, 48, 51, 58, 63, 89, 99, 100, 101, 102, 113, 126, 128, 133, 135, 139, 140, 143, 144, 146, 147, 153, 160, 161, 162, 164, 166, 173, 208, 216, 227, 241, 242, 243, 244, 266, 276, 301, 304, 369], "grain": [9, 70, 111, 193, 245], "interpol": [9, 24, 40, 41, 44, 54, 66, 75, 84, 124, 146, 221, 295, 296, 297, 364, 365, 371, 372, 379, 401], "volumetr": [9, 23, 162, 171, 322], "avoid": [9, 52, 53, 54, 58, 71, 130, 135, 144, 146, 158, 160, 161, 163, 171, 241, 242, 243, 244, 251, 276, 278, 285, 290, 322, 324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 353, 396, 415], "neighbor": [9, 37, 49, 94, 135, 146, 167, 245, 364, 365, 371, 372, 379, 384, 385, 401], "nearest": [9, 40, 41, 44, 49, 66, 75, 84, 111, 135, 144, 146, 166, 221, 295, 296, 297, 364, 365, 371, 372, 379, 385, 394, 401], "zero": [9, 20, 22, 23, 36, 39, 44, 47, 53, 54, 64, 67, 70, 77, 79, 94, 118, 135, 139, 143, 146, 147, 151, 153, 154, 158, 159, 160, 163, 166, 168, 172, 173, 178, 179, 180, 182, 225, 246, 247, 248, 250, 255, 256, 270, 278, 281, 285, 298, 304, 308, 309, 310, 311, 312, 313, 316, 319, 322, 324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 357, 371, 372, 374, 375, 386, 389, 391, 392, 397], "radiu": [9, 36, 37, 44, 55, 58, 61, 100, 122, 146, 157, 162, 166, 173, 206, 245, 312, 401, 417], "achiev": [9, 15, 55, 71, 93, 153, 160, 172, 173, 182], "destrieux": [9, 22, 23, 111, 119, 127, 138, 146, 192, 200, 415], "fetch_atlas_destrieux_2009": [9, 148], "legacy_format": [9, 17, 21, 42, 43, 47, 58, 75, 76, 77, 79, 80, 81, 105, 106, 142, 146, 186, 192, 193, 204, 205, 206, 214, 215, 216, 225], "n_sampl": [9, 44, 47, 77, 81, 102, 105, 106, 168, 178, 179, 180, 241, 242, 243, 244, 246, 247, 248, 249, 263, 276, 281, 307, 308, 311, 322, 383, 385, 396, 397, 401], "symmetric_cmap": [9, 22, 133, 146, 373, 378, 379, 380, 382, 415], "31": [9, 27, 29, 33, 36, 40, 42, 43, 44, 45, 75, 77, 82, 91, 102, 111, 159, 199], "989": [9, 27, 104, 109], "656": [9, 33], "plot_3d_map_to_surface_project": [9, 27, 140, 146, 380], "refer": [10, 19, 46, 48, 59, 62, 66, 69, 78, 93, 94, 98, 101, 106, 108, 110, 111, 112, 113, 120, 125, 133, 140, 142, 143, 144, 146, 153, 157, 161, 162, 163, 165, 166, 168, 171, 172, 173, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400, 401, 415, 417], "dataset_ho": 10, "fetch_atlas_harvard_oxford": [10, 21, 56, 91, 122, 143, 146, 148, 161, 195, 387], "cort": [10, 21, 56, 91, 148, 194, 195], "maxprob": [10, 56, 91, 149, 194, 195, 417], "thr25": [10, 56, 91, 148, 194, 195], "dataset_ju": 10, "fetch_atlas_juelich": [10, 141, 143, 146, 194], "thr0": [10, 194, 195], "atlas_ho_filenam": 10, "atlas_ju_filenam": 10, "roi": [10, 17, 21, 23, 25, 28, 33, 45, 56, 58, 83, 86, 88, 91, 96, 99, 110, 111, 114, 127, 135, 138, 146, 153, 170, 192, 198, 204, 205, 206, 210, 221, 241, 286, 288, 291, 293, 294, 298, 299, 307, 309, 311, 362, 364, 371, 372, 374, 375, 377, 415, 417], "locat": [10, 15, 22, 23, 25, 29, 30, 32, 33, 34, 35, 36, 40, 41, 42, 47, 49, 53, 54, 55, 56, 58, 70, 75, 77, 89, 91, 92, 94, 95, 101, 102, 105, 108, 132, 141, 146, 160, 163, 168, 171, 173, 179, 182, 188, 204, 206, 207, 222, 224, 245, 246, 247, 248, 249, 263, 266, 276, 282, 308, 309, 310, 311, 312, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 353, 384, 386, 415], "fsl": [10, 11, 36, 49, 62, 79, 86, 94, 141, 142, 144, 146, 171, 194, 195, 292], "harvardoxford": 10, "0x7f127523bee0": 10, "0x7f1274e34d90": 10, "view_typ": [10, 50, 87, 88, 138, 146, 151, 370, 371], "572": [10, 33], "int": [10, 11, 23, 36, 40, 41, 49, 68, 78, 79, 84, 86, 94, 100, 101, 144, 146, 161, 179, 182, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 231, 233, 234, 235, 236, 237, 238, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 253, 255, 256, 263, 265, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 278, 280, 282, 287, 293, 304, 308, 309, 310, 311, 312, 314, 315, 316, 317, 318, 319, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 353, 354, 357, 358, 359, 362, 364, 365, 368, 370, 371, 372, 373, 374, 375, 376, 378, 380, 381, 382, 383, 384, 385, 386, 393, 394, 395, 396, 398, 401], "due": [10, 11, 34, 36, 39, 49, 66, 71, 79, 86, 94, 135, 141, 142, 143, 144, 146, 150, 154, 156, 161, 163, 169, 186, 246, 247, 415], "deal": [10, 11, 36, 49, 68, 79, 86, 94, 113, 118, 138, 146, 163, 168, 308], "int64": [10, 11, 36, 49, 79, 86, 94, 101, 144, 146, 168, 171, 383, 385], "compat": [10, 11, 36, 49, 72, 79, 86, 94, 122, 142, 144, 146, 156, 161, 162, 194, 195, 263, 276, 278, 288, 307, 308, 309, 310, 311, 312, 324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 360, 386], "int32": [10, 11, 36, 49, 79, 84, 86, 94, 144, 146, 168, 171, 291, 308, 309, 310, 311, 312], "new_img_lik": [10, 11, 36, 94, 107, 135, 144, 146, 172], "roi_img": [10, 70, 371], "affin": [10, 40, 43, 49, 56, 71, 83, 89, 91, 93, 94, 96, 110, 126, 141, 146, 166, 170, 173, 241, 242, 243, 244, 246, 247, 248, 249, 263, 276, 281, 282, 283, 284, 286, 291, 292, 293, 294, 295, 296, 297, 299, 308, 309, 310, 311, 314, 315, 316, 317, 318, 319, 320, 323, 325, 326, 377, 384, 389, 391, 392, 401, 403, 417], "_ax": [10, 15, 18, 21, 48, 50, 87, 88], "71": [10, 15, 18, 21, 32, 33, 36, 42, 43, 44, 48, 50, 72, 87, 88, 102], "No": [10, 15, 18, 21, 48, 50, 56, 66, 77, 87, 88, 91, 105, 160, 161], "within": [10, 15, 18, 21, 37, 47, 48, 50, 55, 66, 68, 79, 87, 88, 100, 102, 135, 138, 144, 146, 150, 152, 158, 162, 165, 241, 242, 245, 260, 263, 265, 270, 276, 280, 300, 320, 327, 328, 329, 330, 331, 332, 334, 337, 339, 341, 343, 345, 347, 349, 358, 359, 384, 387, 395], "im": [10, 18, 21, 107], "getattr": [10, 18, 21], "data_2d": [10, 18, 21, 323, 325, 326], "812": [10, 27], "146": [10, 27, 33, 41, 72, 123, 146], "plot_atla": [10, 27], "common": [11, 49, 66, 68, 71, 94, 100, 127, 135, 141, 143, 146, 147, 153, 156, 158, 160, 161, 163, 165, 170, 172, 182, 191, 288, 296, 297, 301, 308, 317, 319, 417], "qualiti": [11, 62, 70, 77, 105, 111, 132, 146, 161, 162, 163, 169, 173, 186, 218, 309, 358, 384], "mri": [11, 41, 56, 60, 73, 94, 100, 110, 111, 113, 142, 146, 161, 162, 163, 164, 166, 171, 186, 188, 198, 207, 211, 225, 265, 304, 305], "known": [11, 33, 34, 100, 138, 153, 154, 158, 161, 163, 198, 253, 255, 256, 263, 358], "power": [11, 56, 58, 75, 77, 79, 111, 113, 119, 126, 138, 146, 147, 154, 155, 159, 166, 171, 173, 204, 205, 304, 305, 358], "grayplot": [11, 138, 146, 358], "plot_carpet": [11, 27, 138, 139, 143, 144, 146, 415], "adhd_dataset": [11, 61, 162], "fetch_adhd": [11, 61, 122, 146], "n_subject": [11, 23, 39, 42, 43, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 61, 62, 75, 76, 77, 78, 79, 80, 81, 85, 89, 91, 92, 95, 99, 104, 105, 106, 122, 126, 146, 151, 160, 173, 178, 179, 180, 182, 186, 187, 207, 215, 216, 219, 225, 231, 240], "infer": [11, 49, 62, 65, 76, 79, 84, 100, 102, 111, 163, 165, 166, 258, 278, 296, 303, 322, 358], "often": [11, 30, 32, 35, 36, 43, 47, 48, 86, 92, 94, 113, 152, 153, 154, 158, 163, 166, 168, 171, 172, 173, 253, 255, 256], "overwrit": [11, 56, 221, 223, 323, 325, 326], "particular": [11, 15, 33, 66, 87, 98, 114, 121, 142, 146, 148, 156, 158, 160, 169, 171, 223, 241, 242, 243, 244, 253, 255, 256, 270, 301, 401], "field": [11, 44, 114, 135, 146, 163, 166, 171, 221, 241, 242, 243, 244, 248, 249, 264, 266, 296, 301, 302, 308, 311, 384, 400, 401], "explicit": [11, 48, 60, 72, 73, 110, 135, 141, 146, 161, 166, 209, 223, 260, 263, 279, 293, 305, 372, 377], "0010042": 11, "0010042_rest_tshift_rpi_voreg_mni": 11, "build": [11, 18, 41, 46, 49, 50, 51, 58, 71, 100, 110, 112, 127, 146, 149, 154, 156, 158, 163, 168, 171, 173, 263, 384, 417], "mask_img": [11, 25, 29, 32, 33, 34, 35, 36, 39, 40, 41, 44, 49, 53, 54, 56, 58, 64, 66, 67, 70, 75, 89, 91, 92, 98, 102, 103, 113, 129, 133, 137, 138, 142, 146, 153, 158, 172, 173, 233, 245, 258, 263, 266, 276, 279, 280, 281, 287, 300, 308, 309, 310, 311, 312, 313, 320, 321, 356, 358, 367, 385, 386, 388, 389, 390, 391, 392, 401], "compute_epi_mask": [11, 25, 70, 89, 172, 173, 241, 242, 243, 244, 248, 249, 308, 311, 384], "grai": [11, 38, 40, 41, 42, 43, 75, 89, 132, 146, 158, 165, 167, 225, 241, 242, 243, 244, 248, 249, 308, 311, 357, 358, 384, 401], "matter": [11, 24, 42, 43, 56, 66, 75, 89, 125, 138, 141, 146, 153, 158, 160, 161, 165, 167, 172, 173, 207, 211, 212, 225, 234, 235, 236, 237, 238, 241, 242, 243, 244, 248, 249, 304, 308, 311, 315, 318, 384, 401], "white": [11, 24, 40, 42, 56, 66, 75, 89, 123, 138, 140, 141, 146, 160, 172, 173, 207, 211, 225, 230, 235, 236, 237, 238, 241, 242, 243, 244, 248, 249, 304, 308, 311, 315, 318, 373, 374, 375, 376, 379, 380, 382, 384, 400, 401], "cerebrospin": [11, 56, 211, 304], "fluid": [11, 56, 211, 304], "icbm152": [11, 141, 146, 166, 211, 212, 235, 236, 238], "fetch_icbm152_2009": [11, 21, 75, 212, 236], "atlas_img": [11, 53], "gm": [11, 21, 89, 141, 146, 173, 211, 212, 241, 242, 243, 244, 248, 249, 308, 311, 315, 318, 384], "wm": [11, 21, 56, 89, 141, 146, 173, 211, 241, 242, 243, 244, 248, 249, 305, 308, 311, 315, 318, 384], "csf": [11, 21, 56, 207, 211, 304, 305], "map_label": 11, "atlas_data": [11, 20], "get_fdata": [11, 80, 135, 146, 171], "discrete_vers": 11, "argmax": 11, "max": [11, 30, 34, 42, 44, 49, 53, 55, 57, 58, 70, 80, 84, 88, 102, 103, 105, 111, 140, 146, 160, 178, 296, 297, 322, 326, 357, 358, 362, 364, 365, 367, 370, 371, 372, 373, 376, 379, 380, 382], "discrete_atlas_img": 11, "01_plot": [11, 140, 146, 364, 380], "61": [11, 33, 42, 43, 44, 48, 68, 102, 105], "subplot": [11, 12, 24, 38, 40, 41, 43, 44, 49, 51, 57, 63, 65, 66, 68, 70, 79, 80, 94, 100, 101, 105, 363, 373, 374, 375, 376], "figsiz": [11, 12, 18, 25, 30, 34, 35, 40, 42, 44, 48, 51, 57, 62, 63, 65, 66, 68, 72, 79, 91, 94, 99, 100, 101, 105, 106, 172, 369], "mask_label": [11, 358], "545": [11, 33, 84], "cast": [11, 84, 122, 135, 146, 173, 188, 294], "float32": [11, 33, 84, 173, 282, 291, 308, 309, 310, 311, 312], "aux": 11, "coerc": 11, "atlas_valu": 11, "586": [11, 27, 33], "1025": 11, "hcp": [12, 26, 111, 218], "workbench": 12, "cm": [12, 19, 20, 38, 41, 42, 44, 50, 53, 58, 102, 132, 146, 151, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 357, 358, 359, 362, 368, 369, 370, 371, 372, 378, 379, 380, 382, 415], "_cmap_d": 12, "nilearn_cmap": 12, "nmap": 12, "outer": [12, 89, 401], "arang": [12, 22, 30, 32, 33, 34, 48, 51, 63, 66, 69, 71, 94, 108], "ones": [12, 33, 44, 63, 66, 75, 81, 100, 103, 106, 155, 156, 158, 160, 246, 247, 270, 322, 383], "subplots_adjust": [12, 25, 40, 44, 49, 57, 63, 68, 172], "bottom": [12, 15, 25, 40, 63, 68, 172, 369], "enumer": [12, 22, 30, 34, 40, 47, 48, 51, 57, 64, 65, 66, 68, 69, 71, 79, 94, 100, 101, 102, 103, 105], "imshow": [12, 38, 40, 41, 44, 84, 148, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 357, 358, 362, 364, 365, 367, 369, 370, 371, 372, 373, 376], "off": [12, 14, 38, 40, 41, 66, 112, 125, 146, 160, 243, 244, 263, 276, 314, 315, 316, 318, 370, 371, 372, 379, 395], "fontsiz": [12, 25, 40, 49, 63, 75, 78, 80, 105, 133, 135, 146, 172, 323, 325, 326, 378, 380, 381, 382], "va": 12, "rotat": [12, 32, 63, 84, 94, 173, 304], "deprecated_cmap": 12, "vega10": 12, "vega20": 12, "vega20b": 12, "vega20c": 12, "spectral": [12, 23, 111, 191], "m_cmap": 12, "m": [12, 30, 37, 40, 41, 49, 64, 66, 67, 71, 75, 100, 102, 111, 125, 146, 158, 159, 161, 168, 169, 188, 192, 197, 198, 199, 201, 202, 204, 205, 208, 210, 218, 226, 230, 253, 255, 256, 278, 322], "datad": 12, "endswith": 12, "_r": 12, "append": [12, 22, 33, 34, 40, 41, 44, 47, 50, 51, 53, 64, 71, 100, 103, 107, 108, 151, 169], "sort": [12, 21, 30, 35, 42, 43, 62, 113, 140, 146, 169, 171, 208, 227, 240, 276, 278, 291, 322], "get_cmap": 12, "aspect": [12, 40, 131, 146, 156, 160, 173, 263, 276, 304, 395], "auto": [12, 125, 140, 146, 173, 248, 249, 291, 308, 309, 310, 311, 312, 324, 327, 328, 329, 330, 331, 332, 334, 337, 339, 341, 343, 345, 347, 349, 353, 357, 359, 362, 364, 365, 367, 368, 370, 371, 372, 373, 375, 376, 378, 379, 381, 401], "857": [12, 27], "plot_colormap": [12, 27], "_projector": [13, 14, 16, 47, 50, 51, 52, 58, 142, 146], "orthoprojector": [13, 14, 16, 47, 50, 51, 52, 58, 142, 146, 351], "0x7f12729483a0": 13, "On": [13, 36, 49, 52, 53, 56, 58, 62, 66, 69, 75, 77, 111, 133, 146, 148, 160, 172, 173, 179, 182], "xz": [13, 14, 15, 49, 263, 276, 341, 342, 351, 352, 357, 359, 362, 364, 365, 368, 370, 371, 372, 395, 415], "xzprojector": [13, 14, 345, 347, 351], "0x7f12727efa30": 13, "lyrz": [13, 14, 58, 263, 276, 330, 351, 359, 364, 368, 395, 415], "122": [13, 27, 33, 41, 66, 72, 76, 82, 115, 146, 190, 207], "plot_demo_glass_brain": [13, 27], "part": [14, 15, 49, 51, 55, 69, 89, 91, 111, 135, 141, 144, 146, 154, 160, 161, 162, 167, 172, 178, 184, 185, 194, 195, 211, 216, 241, 242, 243, 244, 248, 249, 278, 279, 300, 301, 302, 304, 308, 311, 314, 315, 316, 318, 322, 324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 369, 384], "through": [14, 31, 39, 42, 48, 51, 56, 64, 75, 91, 100, 139, 140, 142, 146, 147, 153, 154, 155, 158, 161, 166, 221, 225, 243, 244, 263, 276, 278, 304, 305, 309, 318, 323, 325, 326, 328, 329, 330, 331, 332, 339, 341, 343, 345, 347, 349, 383, 393, 401], "includ": [14, 37, 39, 42, 43, 54, 58, 63, 66, 70, 77, 80, 91, 100, 101, 105, 108, 118, 125, 135, 137, 138, 142, 144, 146, 151, 153, 158, 159, 161, 162, 166, 167, 168, 169, 171, 177, 178, 185, 188, 189, 190, 197, 198, 207, 212, 226, 233, 234, 237, 250, 254, 263, 276, 278, 288, 302, 303, 304, 308, 311, 314, 315, 316, 318, 322, 359, 394, 405, 410], "neg": [14, 17, 42, 51, 58, 66, 77, 79, 80, 90, 102, 106, 111, 139, 142, 146, 158, 163, 166, 186, 218, 247, 278, 279, 296, 300, 322, 364, 372, 376, 401, 415], "ortho": [14, 15, 62, 263, 276, 334, 335, 351, 352, 357, 359, 362, 364, 365, 368, 370, 371, 372, 395, 415], "equival": [14, 81, 158, 160, 163, 169, 216, 241, 242, 243, 244, 248, 249, 292, 308, 309, 310, 311, 314, 315, 316, 318, 377, 384], "sagitt": [14, 94, 263, 276, 331, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 352, 357, 359, 362, 364, 365, 368, 370, 371, 372, 395], "cut": [14, 49, 66, 94, 120, 130, 132, 133, 144, 146, 167, 263, 276, 315, 318, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 352, 353, 354, 355, 357, 359, 362, 364, 365, 368, 370, 371, 372, 379, 395, 415], "0x7f123ae49bd0": 14, "produc": [14, 24, 46, 59, 62, 64, 79, 100, 105, 110, 142, 144, 146, 163, 166, 173, 207, 239, 305, 307, 308, 309, 310, 311, 312, 335, 372, 386, 401, 415], "0x7f123f942e30": 14, "black": [14, 40, 104, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 357, 359, 362, 364, 365, 368, 370, 371, 372, 379, 380, 382], "0x7f122cb2ead0": 14, "sign": [14, 42, 102, 103, 158, 168, 171, 246, 247, 280, 300, 327, 328, 329, 330, 331, 332, 334, 337, 339, 341, 343, 345, 347, 349, 359, 364, 370, 378, 380, 382], "addition": [14, 15, 58, 70, 141, 146, 161, 169, 172, 173, 322], "coron": [14, 94, 263, 276, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 352, 357, 359, 362, 364, 365, 368, 370, 371, 372, 395], "yz": [14, 15, 31, 39, 263, 276, 347, 348, 351, 352, 357, 359, 362, 364, 365, 368, 370, 371, 372, 395, 415], "yzprojector": [14, 341, 345, 351], "0x7f123f941ed0": 14, "yx": [14, 15, 113, 263, 276, 345, 346, 351, 352, 357, 359, 362, 364, 365, 368, 370, 371, 372, 395, 415], "yxprojector": [14, 341, 347, 351], "0x7f123c9a5240": 14, "saw": 14, "lzr": [14, 53, 263, 276, 331, 351, 359, 364, 368, 395, 415], "enabl": [14, 79, 104, 138, 142, 146, 153, 156, 167, 173, 304, 327, 328, 329, 330, 331, 332, 337, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 416], "lzrprojector": [14, 329, 351], "0x7f123f524a30": 14, "lyrzprojector": [14, 332, 351], "0x7f123f526bc0": 14, "xprojector": [14, 343, 349, 351], "yprojector": [14, 339, 349, 351], "zprojector": [14, 339, 343, 351], "l": [14, 37, 41, 51, 56, 70, 71, 76, 94, 111, 135, 142, 146, 154, 159, 186, 188, 198, 199, 201, 202, 204, 205, 206, 210, 218, 225, 263, 276, 304, 305, 323, 325, 326, 327, 328, 329, 330, 331, 332, 351, 359, 364, 368, 395, 415], "lprojector": [14, 337, 351], "rprojector": [14, 327, 351], "0x7f123962f670": 14, "inherit": [14, 254, 393], "customis": [14, 56, 148, 305], "focu": [14, 79, 148, 150, 160, 386], "add_contour": [14, 18, 128, 135, 146, 324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 415], "lzryprojector": [14, 330, 351], "sinc": [14, 19, 33, 39, 58, 64, 66, 75, 77, 81, 101, 108, 113, 140, 146, 160, 163, 188, 194, 195, 227, 301, 302, 322, 326, 415], "empti": [14, 102, 108, 114, 135, 143, 146, 161, 194, 195, 210, 241, 242, 243, 244, 301, 356, 369], "lzry": [14, 263, 276, 332, 351, 359, 364, 368, 395, 415], "choos": [14, 15, 24, 33, 34, 44, 47, 87, 156, 157, 163, 168, 173, 241, 242, 243, 244, 263, 276, 305, 357, 359, 362, 364, 365, 368, 370, 371, 372, 383, 384, 395, 401, 417], "red": [14, 15, 18, 40, 51, 133, 146, 162, 163, 166, 415], "demonstr": [14, 39, 40, 56, 62, 65, 94, 104, 143, 146, 152, 153, 322, 415], "insid": [14, 21, 24, 34, 49, 55, 98, 156, 168, 281, 287, 301, 308, 311, 358, 370, 371, 374, 375, 383, 401], "kei": [14, 43, 54, 58, 66, 113, 114, 148, 161, 168, 171, 188, 189, 190, 191, 194, 195, 202, 211, 217, 221, 241, 242, 243, 244, 250, 254, 259, 263, 270, 272, 276, 278, 302, 303, 322, 333, 358, 367, 380], "vari": [14, 34, 66, 94, 95, 141, 146, 150, 156, 160, 179, 180, 182, 282], "lr": [14, 263, 276, 328, 351, 359, 364, 368, 395, 415], "lrprojector": [14, 351], "ad": [14, 15, 20, 21, 30, 40, 68, 69, 84, 128, 129, 139, 141, 142, 143, 144, 146, 156, 160, 161, 162, 169, 197, 198, 241, 242, 243, 244, 246, 247, 278, 285, 296, 300, 302, 303, 304, 305, 307, 308, 309, 310, 311, 312, 322, 323, 325, 326, 357, 358, 359, 362, 364, 365, 368, 370, 371, 372, 379, 386, 417], "lyr": [14, 263, 276, 329, 351, 359, 364, 368, 395, 415], "lyrprojector": [14, 331, 351], "draw": [14, 15, 323, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 361, 401], "thick": [14, 47, 140, 146, 202, 230, 370, 371, 373, 376, 382, 399, 401], "width": [14, 32, 51, 66, 94, 166, 173, 241, 242, 243, 244, 248, 249, 263, 276, 278, 298, 308, 309, 310, 311, 312, 313, 324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 357, 358, 359, 362, 364, 365, 368, 369, 370, 371, 372, 378, 384, 386, 388, 393, 395], "linewidth": [14, 18, 21, 42, 43, 48, 50, 91, 370, 371, 378], "enough": [14, 58, 153, 160, 173, 296], "unlik": [14, 20, 158, 163, 171, 305], "upper": [14, 40, 160, 253, 255, 256, 316, 319, 324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 357, 358, 362, 364, 365, 367, 368, 370, 371, 372, 373, 376, 380, 382], "bound": [14, 84, 89, 128, 135, 146, 172, 248, 296, 323, 325, 326, 357, 358, 362, 364, 365, 367, 368, 370, 371, 372, 373, 376, 380, 382], "kept": [14, 114, 184, 194, 195, 241, 242, 243, 244, 280, 281, 298, 300, 314, 315, 316, 317, 318, 319, 320, 386, 388, 397], "infin": 14, "inf": [14, 54, 103, 281, 310, 313, 316, 397], "444": [14, 19, 27, 33, 190], "plot_demo_glass_brain_extens": [14, 27, 364], "techniqu": [15, 44, 111, 151, 152, 153, 154, 155, 156, 160, 166, 168, 173, 386], "essenti": [15, 68, 80, 166], "what": [15, 56, 66, 108, 143, 154, 160, 164, 169, 171, 173, 179, 250, 254, 287, 301, 398, 415, 417], "shown": [15, 21, 40, 54, 66, 70, 94, 114, 140, 146, 147, 152, 153, 162, 163, 199, 305, 327, 328, 329, 330, 331, 332, 334, 337, 339, 341, 343, 345, 347, 349, 359, 367, 368, 371, 378, 380, 382], "subclass": [15, 352], "implement": [15, 48, 49, 56, 62, 66, 68, 98, 120, 127, 129, 135, 138, 139, 142, 143, 146, 147, 150, 151, 152, 154, 156, 158, 159, 160, 161, 166, 168, 169, 174, 194, 195, 241, 242, 245, 246, 247, 251, 253, 258, 263, 265, 267, 268, 269, 270, 273, 274, 275, 276, 278, 287, 304, 305, 322, 323, 324, 326, 336, 373, 375, 376, 386, 397, 398], "interact": [15, 22, 47, 52, 54, 58, 100, 132, 133, 137, 142, 146, 149, 151, 161, 166, 167, 168, 378, 379, 381, 417], "precis": [15, 41, 52, 57, 91, 147, 150, 151, 160, 173, 178, 179, 180, 182, 183, 216, 241, 243, 253, 255, 256, 278, 322], "overlai": [15, 20, 21, 50, 151, 172, 379, 417], "tile": [15, 133, 146, 338, 352, 357, 362, 365, 370, 371, 372, 415], "mosaic": [15, 139, 146, 333, 352, 357, 362, 365, 370, 371, 372, 415], "wherea": [15, 49, 141, 146, 150, 154, 172, 317, 319, 320, 384], "accordingli": [15, 142, 146, 301], "haxby_anat_filenam": [15, 16], "haxby_mask_filenam": [15, 16], "haxby_func_filenam": [15, 16], "local": [15, 40, 41, 49, 60, 65, 66, 73, 76, 77, 79, 80, 81, 88, 90, 93, 97, 100, 101, 103, 107, 108, 109, 110, 111, 135, 136, 144, 146, 161, 163, 166, 169, 171, 173, 194, 195, 198, 203, 213, 214, 215, 216, 217, 220, 221, 223, 245, 286, 298, 301, 307, 311, 322, 350, 363, 364, 372, 377], "xyz": [15, 295, 333, 338, 340, 344, 350], "integ": [15, 84, 94, 122, 126, 135, 139, 142, 144, 146, 166, 168, 171, 173, 180, 182, 186, 188, 190, 192, 194, 195, 197, 198, 201, 202, 221, 223, 246, 247, 248, 249, 263, 282, 314, 315, 316, 318, 324, 325, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 357, 362, 364, 365, 370, 371, 372, 374, 375, 387, 391, 392], "0x7f12396018d0": 15, "zslicer": [15, 70, 88, 340, 344, 352], "rather": [15, 54, 66, 94, 100, 114, 125, 127, 129, 131, 135, 140, 142, 146, 147, 160, 161, 171, 172, 179, 188, 221, 223, 248, 249, 278, 310, 394], "impli": [15, 139, 146, 160, 178, 296, 313], "maximum": [15, 66, 79, 89, 92, 94, 104, 135, 146, 158, 166, 173, 178, 179, 180, 182, 187, 194, 195, 221, 231, 241, 242, 243, 244, 248, 249, 250, 251, 254, 263, 272, 276, 278, 280, 298, 300, 308, 309, 310, 311, 312, 313, 326, 327, 328, 329, 330, 331, 332, 334, 337, 339, 341, 343, 345, 347, 349, 359, 364, 384, 386, 388, 389, 415], "0x7f1240f83880": 15, "0x7f123a81a7a0": 15, "yslicer": [15, 92, 340, 350, 352], "again": [15, 49, 91, 103, 113, 165, 221, 223], "0x7f124a13d210": 15, "0x7f123a818dc0": 15, "stand": [15, 44, 135, 146, 166, 172, 415], "thu": [15, 31, 34, 39, 102, 104, 148, 153, 154, 155, 158, 159, 160, 166, 172, 173, 243, 244, 245, 246, 247, 251, 285, 305, 322], "xzslicer": [15, 49, 346, 348, 352], "0x7f124185ceb0": 15, "similarli": [15, 55, 94, 171], "yxslicer": [15, 342, 348], "assign": [15, 86, 94, 150, 151, 163, 194, 195, 204, 206, 386, 387], "0x7f123a8196c0": 15, "yzslicer": [15, 39, 342, 346, 352], "0x7f122cb2c0a0": 15, "case": [15, 23, 34, 40, 43, 47, 48, 49, 50, 54, 62, 65, 66, 68, 72, 84, 89, 91, 92, 100, 101, 108, 114, 125, 135, 138, 146, 147, 148, 150, 153, 154, 158, 160, 168, 169, 171, 185, 188, 192, 194, 195, 241, 242, 243, 244, 246, 247, 263, 265, 270, 276, 278, 279, 288, 296, 297, 298, 299, 302, 308, 309, 310, 311, 312, 316, 354, 357, 358, 359, 362, 364, 365, 367, 370, 371, 372, 379, 394, 401, 415], "tiledslic": [15, 333, 335, 352], "0x7f123ced58a0": 15, "situat": [15, 58, 147, 153, 154, 171, 298], "mosaicslic": [15, 335, 338, 352], "0x7f124185d870": 15, "still": [15, 49, 66, 79, 91, 114, 142, 146, 158, 160, 169, 173, 221, 415], "0x7f122cb36c20": 15, "tupl": [15, 173, 189, 196, 231, 241, 242, 243, 244, 246, 247, 248, 249, 253, 255, 256, 263, 266, 276, 285, 293, 296, 298, 301, 304, 308, 311, 314, 316, 317, 319, 324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 357, 362, 365, 369, 370, 371, 372, 379, 384, 389, 397, 400, 401], "0x7f124156b160": 15, "interpret": [15, 51, 70, 111, 149, 158, 159, 160, 163, 188, 192, 194, 195, 198, 199, 202, 292, 322, 415, 417], "process": [15, 16, 32, 36, 39, 42, 44, 50, 53, 62, 91, 94, 101, 102, 105, 111, 112, 113, 120, 146, 148, 151, 152, 153, 156, 160, 161, 163, 165, 166, 168, 169, 171, 172, 173, 179, 196, 211, 212, 216, 241, 242, 243, 244, 246, 247, 248, 249, 263, 276, 281, 282, 287, 304, 305, 307, 308, 309, 310, 311, 312, 314, 315, 316, 317, 318, 319, 384, 385, 386, 391, 392, 397], "dimens": [15, 21, 29, 33, 34, 40, 47, 49, 66, 94, 113, 140, 146, 157, 163, 166, 172, 173, 184, 185, 193, 218, 225, 241, 242, 243, 244, 248, 249, 251, 253, 255, 256, 263, 278, 281, 282, 288, 289, 292, 293, 298, 304, 305, 307, 308, 309, 310, 311, 312, 355, 369, 370, 384, 386, 397, 417], "mean_haxby_img": [15, 16], "coregistr": [15, 124, 146, 166], "edg": [15, 47, 52, 54, 58, 94, 135, 146, 147, 148, 324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 359, 369, 378, 417], "being": [15, 89, 94, 132, 135, 142, 146, 147, 160, 163, 166, 169, 248, 270, 303, 310, 317, 319, 358, 373, 375, 376, 386], "outlin": [15, 48, 89, 92, 152, 161, 374, 415], "manual": [15, 16, 19, 32, 34, 35, 36, 40, 41, 42, 47, 51, 52, 53, 54, 55, 56, 58, 61, 62, 70, 81, 83, 89, 91, 92, 96, 98, 99, 100, 101, 102, 103, 104, 105, 106, 108, 110, 113, 147, 153, 170, 173, 197, 198, 210, 248, 249, 286, 291, 293, 294, 298, 307, 309, 362, 371, 372, 377, 415, 417], "34": [15, 33, 38, 42, 43, 44, 62, 89, 91, 96, 102, 111, 158, 283], "blue": [15, 18, 40, 49, 70, 86], "fill": [15, 21, 62, 68, 94, 101, 108, 127, 135, 141, 146, 160, 173, 296, 297, 324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 370, 371, 393, 417], "transpar": [15, 23, 135, 146, 173, 324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 357, 359, 364, 365, 367, 368, 370, 371, 372, 373, 376, 378, 379, 380, 381, 382], "contourf": [15, 21, 48, 50, 324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350], "sphere": [15, 36, 37, 46, 55, 59, 110, 137, 140, 146, 157, 173, 178, 204, 205, 207, 230, 307, 312, 354, 359, 368, 369, 373, 374, 375, 376, 377, 378, 382, 400, 401, 415, 417], "marker_color": [15, 40, 55, 61, 100, 133, 135, 146, 324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 381, 415], "yellow": 15, "third": [15, 66, 81, 151, 272], "marker_s": [15, 40, 55, 61, 100, 133, 135, 146, 324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 381, 415], "coord": [15, 37, 40, 50, 52, 54, 58, 70, 87, 100, 133, 135, 146, 151, 323, 325, 326, 354, 355, 359, 373, 374, 375, 376, 382, 415], "alter": [15, 139, 146], "bar": [15, 42, 102, 105, 132, 146, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 417], "scalebar": [15, 324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 415], "scale_": 15, "keyword": [15, 98, 114, 135, 146, 156, 160, 173, 180, 186, 221, 232, 292, 305, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 363, 365, 367, 369, 375, 376, 380], "arg": [15, 241, 242, 243, 244, 307], "scale_s": [15, 324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350], "scale_unit": [15, 324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350], "built": [15, 33, 42, 48, 163, 169, 384], "extens": [15, 127, 141, 146, 324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 357, 358, 359, 360, 361, 362, 363, 364, 365, 367, 368, 370, 371, 372, 373, 374, 375, 376], "pdf": [15, 55, 68, 102, 111, 144, 146, 158, 159, 191, 192, 198, 199, 201, 204, 210, 218, 225, 230, 281, 322, 324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 357, 358, 359, 360, 361, 362, 363, 364, 365, 367, 368, 370, 371, 372, 373, 374, 375, 376, 397], "svg": [15, 62, 303, 324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 357, 358, 359, 360, 361, 362, 363, 364, 365, 367, 368, 370, 371, 372, 373, 374, 375, 376], "plot_stat_map_from_displai": 15, "sure": [15, 94, 110, 158, 161, 169, 246, 247, 416], "close": [15, 23, 37, 40, 49, 86, 142, 146, 147, 154, 160, 161, 163, 166, 212, 241, 242, 243, 244, 314, 315, 316, 318, 324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 357, 358, 359, 360, 361, 362, 363, 364, 365, 367, 368, 370, 371, 372, 373, 374, 375, 376, 415], "463": [15, 27, 33, 188], "913": [15, 27, 45], "plot_demo_more_plot": [15, 27], "easi": [16, 61, 69, 75, 94, 113, 114, 151, 152, 154, 157, 161, 162, 166, 168, 173, 304, 417], "coordin": [16, 19, 22, 23, 40, 49, 52, 54, 70, 94, 100, 111, 113, 119, 124, 127, 129, 130, 132, 138, 142, 144, 146, 149, 151, 160, 162, 163, 173, 196, 204, 205, 206, 230, 249, 283, 296, 312, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 354, 355, 356, 357, 358, 359, 362, 364, 365, 368, 370, 371, 372, 373, 374, 375, 376, 378, 379, 381, 382, 394, 400, 401, 415, 417], "0x7f12726f1b40": 16, "web": [16, 111, 114, 132, 135, 146, 161, 221, 223, 263, 276, 378, 380, 381, 382, 395, 415], "alwai": [16, 100, 153, 156, 160, 161, 163, 168, 173, 247, 253, 255, 256, 304, 364, 372, 376, 379, 380, 382, 415], "fix": [16, 30, 43, 47, 48, 58, 60, 64, 71, 73, 92, 110, 117, 160, 161, 169, 172, 209, 250, 251, 254, 260, 263, 266, 293, 372, 377], "0x7f1272b74820": 16, "0x7f1272991900": 16, "overlaid": [16, 71, 89, 92, 138, 140, 146, 370], "0x7f12729163e0": 16, "voxel_wis": 16, "reduc": [16, 29, 33, 34, 44, 49, 66, 79, 87, 94, 100, 131, 132, 135, 139, 146, 155, 159, 160, 161, 166, 173, 180, 225, 243, 244, 248, 249, 304, 305, 309, 373, 375, 376, 383, 384, 385, 389], "0x7f1267395420": 16, "ie": [16, 144, 146, 147, 152, 171, 253, 255, 256, 310, 312], "278": [16, 27, 33, 41, 72], "919": [16, 27], "plot_demo_plot": [16, 27], "modifi": [17, 49, 94, 103, 125, 142, 146, 161, 173, 221, 223, 296, 297, 300, 396, 397], "leav": [17, 29, 33, 153, 158, 285], "unchang": [17, 66, 158], "localizer_dataset": [17, 77, 81, 105, 106], "fetch_localizer_button_task": [17, 125, 146, 215, 216, 415], "localizer_tmap_filenam": 17, "tmap": [17, 79, 168, 214, 216, 415], "localizer_anat_filenam": 17, "0x7f1275337340": 17, "0x7f12723cba60": 17, "0x7f12753354b0": 17, "063": [17, 27, 41], "plot_dim_plot": [17, 27], "kwarg": [18, 135, 146, 186, 305, 307, 318, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 357, 359, 362, 364, 365, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 379], "func_filenam": [18, 25, 30, 31, 32, 33, 35, 48, 50, 53, 55, 58, 91, 92, 102, 104, 151, 172], "z_slice": [18, 42, 105, 106], "facecolor": [18, 32, 40, 42, 106, 324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 357, 359, 362, 364, 365, 368, 370, 371, 372], "mask_vt_filenam": [18, 94], "mask_house_filenam": 18, "mask_hous": [18, 32, 113, 171, 210], "mask_face_filenam": 18, "mask_fac": [18, 32, 113, 171, 210], "antialias": 18, "limegreen": 18, "trick": [18, 168], "http": [18, 22, 23, 34, 49, 56, 62, 64, 67, 71, 72, 98, 101, 102, 103, 111, 114, 140, 144, 146, 151, 154, 155, 158, 159, 160, 161, 163, 168, 179, 182, 186, 188, 189, 190, 191, 192, 193, 196, 197, 198, 199, 200, 201, 202, 204, 205, 206, 207, 208, 210, 211, 212, 216, 218, 219, 220, 221, 222, 223, 224, 225, 226, 228, 229, 230, 231, 236, 241, 242, 243, 244, 248, 249, 250, 254, 255, 256, 278, 281, 304, 305, 322, 358, 364, 380, 381, 384, 385, 386, 397, 398, 415, 416], "sourceforg": 18, "net": [18, 28, 44, 45, 110, 159, 225, 241, 242, 246, 247, 372, 377], "user": [18, 29, 34, 39, 58, 66, 68, 100, 106, 114, 129, 132, 133, 135, 136, 140, 142, 143, 144, 146, 160, 161, 162, 163, 166, 167, 168, 169, 170, 173, 175, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400, 401, 404, 406, 407, 416], "legend_guid": 18, "httpml": 18, "proxi": 18, "artist": 18, "patch": [18, 40, 41, 49, 169], "rectangl": [18, 40, 49, 84], "p_v": 18, "fc": 18, "p_h": 18, "p_f": 18, "face": [18, 28, 32, 33, 38, 45, 71, 94, 97, 98, 100, 109, 110, 111, 113, 127, 140, 146, 153, 158, 162, 167, 171, 172, 173, 210, 211, 229, 241, 243, 245, 286, 288, 291, 293, 294, 307, 311, 322, 350, 365, 372, 373, 374, 375, 376, 377, 379, 382, 400, 401], "442": [18, 27, 33], "plot_haxby_mask": [18, 27], "fetch_atlas_basc_multiscale_2015": [19, 123, 146], "sym": [19, 185, 190], "197": [19, 31, 32, 33, 39, 41, 190], "networks_64": 19, "scale064": [19, 190], "networks_197": 19, "scale197": [19, 190], "networks_444": 19, "scale444": [19, 190], "itself": [19, 34, 66, 150, 178, 179, 180, 248, 249, 286, 384, 401], "bwr": [19, 53, 133, 146, 327, 328, 329, 330, 331, 332, 334, 337, 339, 341, 343, 345, 347, 349, 359, 378], "bwr_r": 19, "055": [19, 27, 41], "plot_multiscale_parcel": [19, 27], "compos": [20, 98, 161, 166, 172, 173, 205, 241, 242, 243, 244], "node": [20, 23, 24, 58, 108, 133, 135, 138, 140, 146, 148, 173, 197, 230, 327, 328, 329, 330, 331, 332, 334, 337, 339, 341, 343, 345, 347, 349, 359, 367, 368, 378, 380, 381, 401, 415], "constitut": [20, 152], "leverag": [20, 138, 146, 167, 241, 242, 384, 416], "less": [20, 48, 49, 50, 56, 66, 69, 77, 79, 88, 94, 100, 114, 132, 133, 140, 146, 158, 160, 161, 163, 169, 254, 353], "fetch_atlas_msdl": [20, 21, 51, 52, 53, 54, 99, 124, 146, 148], "atlas_filenam": [20, 52, 54, 56, 148], "pcc": [20, 23, 51, 55], "dmn": [20, 51, 61], "acc": 20, "pariet": [20, 58, 91, 103, 196], "black_blu": 20, "black_green": 20, "black_pink": 20, "ma": [20, 21, 36, 40, 48, 50, 54, 64, 106], "2826": [20, 21, 48, 50, 54, 140, 146], "element": [20, 21, 48, 49, 50, 54, 125, 144, 146, 152, 158, 166, 178, 184, 185, 188, 241, 242, 243, 244, 245, 281, 298, 307, 308, 309, 310, 311, 312, 318, 367, 386, 391, 397, 401], "nan": [20, 21, 48, 50, 54, 56, 91, 94, 103, 118, 122, 127, 135, 139, 146, 225, 281, 296, 310, 313, 316, 397, 401], "_data": [20, 21], "3rd": [20, 364, 365, 371, 372, 379], "4th": [20, 94, 111, 159, 166, 172, 255, 256, 293, 296, 370], "5th": 20, "6th": 20, "dmn_node": 20, "40": [20, 27, 33, 36, 42, 43, 44, 53, 63, 91, 94, 102, 105, 187, 196, 221, 401], "35": [20, 33, 36, 42, 43, 44, 49, 53, 59, 72, 91, 102, 105, 115, 146, 196, 221], "55": [20, 33, 36, 42, 43, 44, 68, 73, 102, 105, 108, 109, 125, 146], "29": [20, 33, 36, 42, 43, 62, 72, 75, 81, 82, 91, 98, 102, 103, 109, 120, 146], "095": [20, 27, 41], "plot_overlai": [20, 27], "delin": 21, "filled_contour": [21, 50, 151, 370], "continu": [21, 39, 43, 54, 56, 148, 153, 154, 155, 159, 161, 166, 173, 221, 291, 295, 296, 297, 308, 309, 310, 311, 312, 364, 365, 370, 371, 372, 379, 387, 388], "plot_prob_atla": [21, 27, 48, 50, 87, 88, 122, 129, 130, 139, 146, 151, 152, 371, 415], "pick": [21, 151, 160, 163, 166, 212], "randomli": [21, 158], "alreadi": [21, 22, 33, 34, 49, 64, 89, 94, 101, 103, 107, 108, 114, 135, 142, 146, 151, 153, 154, 161, 173, 221, 223, 276, 278, 297, 322, 386], "know": [21, 84, 114, 160, 163, 166, 168, 185, 223], "tune": [21, 31, 32, 34, 39, 43, 89, 126, 146, 148, 153, 154, 156, 160, 163, 248, 249, 304, 308, 311, 384, 415], "readi": [21, 61, 75, 113, 126, 146, 152, 161, 169], "harvard": [21, 91, 148, 194, 202, 354, 355], "oxford": [21, 91, 111, 148, 194, 255, 256, 354, 355], "atlasf": 21, "harvard_oxford": 21, "prob": [21, 194, 195, 197, 370], "harvard_oxford_sub": 21, "sub": [21, 47, 48, 49, 52, 53, 54, 55, 56, 58, 62, 78, 85, 91, 92, 95, 100, 101, 104, 108, 140, 146, 194, 195, 263, 276, 301, 395], "multi": [21, 28, 41, 42, 43, 45, 46, 48, 58, 59, 100, 110, 111, 147, 148, 149, 151, 157, 160, 171, 172, 174, 179, 180, 182, 190, 196, 207, 210, 229, 248, 263, 307, 308, 310, 311, 355, 359, 369, 377, 417], "dictionari": [21, 23, 33, 46, 59, 66, 69, 101, 104, 108, 110, 111, 114, 139, 146, 149, 153, 154, 166, 167, 173, 178, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 204, 205, 206, 207, 210, 211, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 228, 229, 230, 231, 241, 242, 243, 244, 248, 249, 263, 276, 278, 288, 289, 302, 303, 307, 310, 322, 333, 335, 355, 356, 357, 358, 359, 367, 369, 370, 372, 377, 380, 386, 417], "ica": [21, 46, 50, 54, 59, 87, 92, 97, 104, 109, 110, 111, 114, 120, 146, 148, 149, 166, 167, 168, 177, 189, 199, 207, 218, 221, 233, 248, 249, 289, 298, 304, 305, 307, 310, 311, 370, 372, 377, 390, 415, 417], "icbm": [21, 66, 75, 132, 146, 211], "tissu": [21, 166, 201], "allen": [21, 111, 127, 146, 189], "fetch_atlas_allen_2011": [21, 127, 146], "pauli": [21, 111, 197], "subcort": [21, 111, 132, 146, 194, 195, 197, 206], "subcortex": [21, 111, 206], "fetch_atlas_pauli_2017": [21, 132, 135, 146], "difumo": [21, 47, 139, 146, 193], "fetch_atlas_difumo": [21, 47, 139, 146], "resolution_mm": [21, 47, 193, 198], "atlas_typ": 21, "smith2009": 21, "rsn20": [21, 199], "70": [21, 30, 32, 33, 36, 41, 42, 43, 44, 63, 102, 105, 111, 158, 199], "rsn70": [21, 199], "brainmap": [21, 199], "bm20": [21, 199], "bm70": [21, 199], "allen2011": 21, "rsn28": [21, 189], "pauli2017": 21, "item": [21, 64, 65, 66, 69, 71, 100, 105, 114, 221, 222, 223, 224, 266, 308, 317, 319], "bm10": [21, 199], "43": [21, 27, 33, 36, 41, 42, 43, 44, 45, 91, 102, 111, 120, 146, 191, 322], "727": [21, 27, 33], "1163": [21, 27], "2010": [22, 23, 48, 58, 102, 111, 127, 146, 147, 152, 154, 178, 179, 190, 200, 204, 211, 236, 248], "plot_surf_roi": [22, 23, 127, 129, 131, 135, 139, 146, 373, 415], "pial": [22, 23, 24, 37, 138, 144, 146, 230, 367, 373, 374, 375, 376, 380, 382, 400, 401], "gyri": [22, 23, 111, 200], "sulci": [22, 23, 111, 200], "nomenclatur": [22, 23, 111, 200], "53": [22, 23, 33, 36, 42, 43, 44, 61, 91, 93, 102, 105, 111, 189, 190, 200], "url": [22, 23, 62, 111, 136, 144, 146, 154, 155, 158, 159, 179, 182, 186, 187, 188, 189, 190, 191, 192, 193, 196, 197, 198, 199, 200, 201, 202, 204, 205, 206, 208, 210, 211, 214, 215, 216, 218, 219, 220, 221, 223, 225, 226, 227, 230, 231, 236, 240, 243, 244, 250, 254, 255, 256, 278, 281, 304, 305, 322, 358, 385, 386, 397, 398], "dx": [22, 23, 71], "doi": [22, 23, 56, 71, 72, 76, 111, 114, 154, 155, 158, 159, 178, 186, 188, 189, 190, 191, 192, 193, 196, 197, 198, 199, 200, 201, 202, 204, 205, 206, 208, 210, 211, 216, 218, 219, 220, 221, 223, 225, 226, 230, 231, 236, 243, 244, 258, 278, 281, 304, 305, 322, 358, 385, 397, 398], "org": [22, 23, 34, 36, 49, 52, 53, 56, 58, 62, 71, 72, 75, 77, 98, 111, 114, 155, 158, 159, 160, 163, 168, 169, 179, 182, 186, 187, 188, 189, 190, 191, 192, 193, 196, 197, 198, 199, 200, 201, 202, 204, 205, 206, 207, 208, 210, 211, 212, 216, 218, 219, 220, 221, 222, 223, 224, 225, 226, 230, 231, 236, 241, 242, 243, 244, 278, 281, 304, 305, 322, 358, 381, 385, 397, 398], "1016": [22, 23, 56, 76, 111, 154, 155, 158, 159, 190, 192, 193, 196, 200, 205, 206, 211, 216, 219, 220, 236, 243, 244, 255, 256, 258, 278, 304, 305, 322, 358, 398], "010": [22, 23, 41, 111, 200], "map_left": [22, 23, 200, 415], "inflat": [22, 23, 37, 69, 230, 367, 373, 374, 375, 376, 380, 382, 400, 401], "sulcal": [22, 23, 111, 192, 230, 373, 375, 376, 380, 382], "depth": [22, 23, 24, 111, 138, 146, 192, 230, 373, 375, 376, 380, 382, 401], "shade": [22, 373, 375, 376, 382], "pial_left": [22, 23, 69, 108, 230, 367, 380, 401], "infl_left": [22, 23, 69, 108, 230, 367, 380, 415], "sulc_left": [22, 23, 69, 108, 230, 367, 380], "gii": [22, 23, 304, 305, 373, 374, 375, 376, 382, 399, 400, 401], "roi_map": [22, 23, 374, 375], "bg_on_data": [22, 23, 373, 375, 376], "dark": [22, 23, 373, 375, 376], "400x400": [22, 23], "posterior": [22, 23, 55, 58, 61, 91, 103, 129, 146, 162, 204, 206, 373, 375, 376], "convent": [22, 72, 144, 146, 161, 169, 239, 299, 301, 302, 357, 362, 364, 372, 383, 385], "vertic": [22, 37, 41, 66, 72, 80, 127, 146, 147, 216, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 373, 374, 375, 376, 382], "vert": 22, "map_": 22, "rr": 22, "load_surf_mesh": [22, 37, 127, 144, 146, 415], "pial_": [22, 37], "unknown": [22, 56, 91, 153, 188, 189, 202], "str": [22, 77, 79, 100, 141, 146, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 223, 225, 226, 227, 228, 229, 230, 231, 232, 239, 240, 241, 242, 243, 244, 246, 247, 263, 265, 266, 270, 276, 277, 278, 280, 281, 292, 296, 297, 300, 301, 302, 303, 306, 308, 309, 310, 311, 312, 314, 315, 316, 317, 318, 319, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 352, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 378, 379, 380, 381, 382, 384, 385, 386, 387, 389, 391, 393, 397, 399, 400, 401], "omit": 22, "synthet": [22, 57, 84, 161], "n_parcel": [22, 49, 384], "corr": [22, 366], "n_parcels_hemi": 22, "plot_connectom": [22, 47, 50, 51, 52, 53, 54, 58, 116, 118, 124, 125, 130, 133, 135, 144, 146, 148, 151, 378, 381, 415], "edge_threshold": [22, 47, 50, 53, 54, 58, 133, 135, 146, 151, 327, 328, 329, 330, 331, 332, 334, 337, 339, 341, 343, 345, 347, 349, 359, 378, 415], "gist_ncar": [22, 131, 146, 358, 371, 375, 415], "view_connectom": [22, 52, 54, 58, 132, 133, 135, 140, 146, 379, 381, 415], "289": [22, 27, 33, 41, 111, 188], "plot_surf_atla": [22, 27], "subset": [23, 36, 44, 94, 154, 158, 161, 240, 253, 288, 304], "enhanc": [23, 64, 66, 67, 68, 111, 166, 169, 231, 251, 278, 322], "nki": [23, 111, 127, 146, 231], "rockland": [23, 111, 231], "fcon_1000": [23, 187, 231], "nitrc": [23, 187, 191, 199, 231], "indi": [23, 187, 231], "nooner": [23, 111, 231], "2012": [23, 44, 100, 111, 144, 146, 148, 153, 159, 160, 168, 191, 219, 231, 304, 305], "645m": 23, "102": [23, 33, 40, 41, 43, 111, 231, 305], "com": [23, 103, 111, 144, 146, 155, 158, 159, 161, 168, 188, 190, 191, 192, 193, 196, 198, 200, 201, 206, 211, 216, 218, 219, 220, 230, 236, 243, 244, 281, 304, 305, 322, 358, 397, 398, 415, 416], "fliem": 23, "nki_nilearn": 23, "dale": [23, 111, 192, 200, 230], "1999": [23, 111, 211, 230], "fischl": [23, 111, 192, 198, 200, 202, 230], "cingul": [23, 55, 58, 61, 91, 162], "pearson": [23, 111, 250, 254, 366], "product": [23, 55, 160], "moment": [23, 113], "correl": [23, 26, 42, 43, 46, 47, 52, 59, 71, 99, 100, 110, 111, 151, 153, 160, 163, 166, 173, 178, 181, 183, 185, 207, 218, 248, 304, 305, 307, 311, 312, 335, 366, 372, 415], "acceler": [23, 111, 231], "pace": [23, 111, 231], "psychiatri": [23, 111, 231], "frontier": [23, 49, 111, 150, 186, 189, 221, 223, 231], "neurosci": [23, 49, 66, 72, 111, 150, 158, 166, 186, 189, 199, 216, 218, 225, 231], "152": [23, 33, 41, 56, 111, 166, 231], "3389": [23, 111, 114, 186, 189, 221, 223, 231], "fnin": [23, 111, 231], "00152": [23, 111, 231], "segment": [23, 56, 111, 151, 166, 196, 202, 211, 225, 304, 386, 388, 401], "reconstruct": [23, 28, 40, 45, 110, 111, 178, 185, 220, 248, 249, 307, 308, 311, 377, 391, 392], "1006": [23, 111, 188], "nimg": [23, 111, 188], "1998": [23, 188], "0395": 23, "ii": [23, 111, 216, 305], "flatten": [23, 24, 40, 41, 70, 178, 184, 185], "0396": 23, "nki_dataset": 23, "fetch_surf_nki_enhanc": [23, 127, 135, 146], "fsaverag5": 23, "func_left": [23, 231], "nki_enhanced_surfac": 23, "a00028185": 23, "a00028185_left_preprocessed_fwhm6": 23, "timeseri": [23, 26, 48, 50, 58, 89, 104, 126, 139, 146, 147, 151, 193, 218, 281, 305, 308, 309, 310, 311, 312, 397, 398], "load_surf_data": [23, 127, 146], "pcc_region": 23, "g_cingul": 23, "post": [23, 51, 66, 94, 111, 120, 146, 172, 178, 212, 386], "dorsal": [23, 373, 375, 376], "pcc_label": 23, "seed_timeseri": 23, "scipi": [23, 44, 56, 62, 68, 76, 79, 94, 101, 103, 107, 108, 118, 125, 129, 130, 132, 135, 140, 142, 144, 146, 160, 168, 172, 212, 234, 237, 290, 314, 315, 316, 318, 369], "stat_map": [23, 279, 367, 375, 376], "pearsonr": 23, "wall": [23, 160], "_stats_pi": 23, "4394": 23, "constantinputwarn": 23, "constant": [23, 31, 66, 160, 172, 241, 242, 243, 244, 246, 247, 278, 322, 415], "msg": 23, "pcc_map": 23, "unthreshold": [23, 81, 111, 114, 166, 189, 221, 223], "slightli": [23, 48, 49, 66, 84, 112, 129, 146, 154, 178, 180, 296, 297], "captur": [23, 51, 58, 66, 103, 148, 149, 150, 153, 178, 216], "half": [23, 49, 66, 94, 135, 146, 160, 166, 173, 241, 242, 243, 244, 248, 249, 263, 276, 278, 298, 308, 309, 310, 311, 312, 313, 373, 375, 376, 384, 386, 388], "after": [23, 28, 32, 34, 40, 45, 50, 56, 66, 67, 77, 94, 98, 100, 105, 110, 143, 146, 150, 151, 153, 158, 160, 161, 162, 163, 166, 169, 172, 173, 182, 210, 241, 242, 243, 244, 248, 263, 271, 272, 276, 281, 285, 288, 293, 304, 305, 311, 387, 393, 394, 395], "738": [23, 27, 33, 34], "92": [23, 30, 32, 33, 36, 42, 43, 44, 77, 102, 111, 322], "measur": [24, 29, 34, 48, 49, 51, 58, 66, 77, 99, 100, 105, 111, 128, 138, 146, 147, 148, 150, 151, 157, 158, 160, 163, 166, 168, 173, 218, 305, 366, 368, 383, 401, 415, 417], "toi": [24, 104], "drawn": [24, 66, 94, 263, 276, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 357, 362, 365, 370, 371, 372, 379, 395, 401], "around": [24, 34, 84, 86, 131, 133, 146, 160, 161, 180, 278, 285, 296, 312, 323, 325, 326, 401], "vertex": [24, 200, 373, 374, 375, 376, 401], "spread": [24, 98, 156, 313], "nest": [24, 29, 42, 138, 146, 156, 178, 179, 180, 241, 242, 243, 244, 245, 246, 247, 248, 249, 263, 276, 307, 308, 309, 310, 311, 312, 383, 384, 385, 386, 401], "along": [24, 25, 66, 84, 86, 100, 135, 140, 146, 152, 159, 161, 166, 172, 173, 246, 247, 263, 271, 296, 298, 304, 305, 307, 308, 309, 310, 311, 312, 323, 325, 326, 335, 338, 352, 353, 357, 362, 365, 366, 370, 371, 372, 386, 387, 397, 401, 415], "ball": [24, 119, 146, 158, 160, 166, 245, 401], "too": [24, 38, 40, 42, 52, 54, 56, 71, 86, 114, 154, 160, 221, 223, 415], "almost": [24, 39, 49, 104, 160, 173], "ident": [24, 69, 80, 160, 281, 298, 388, 397], "most": [24, 33, 40, 42, 43, 49, 61, 75, 94, 100, 129, 132, 146, 153, 154, 155, 156, 158, 160, 161, 163, 168, 169, 172, 173, 263, 265, 270, 373, 375, 376, 382, 384, 386, 388, 414, 415], "recommend": [24, 62, 89, 92, 100, 103, 133, 134, 135, 140, 142, 144, 146, 153, 158, 163, 168, 171, 173, 304, 386, 401], "n_z": 24, "n_t": 24, "mgrid": [24, 84], "triangul": 24, "tri": [24, 51, 154, 221, 357, 369, 383], "angl": [24, 84, 249], "pi": [24, 84, 250, 254], "sin": [24, 84], "asarrai": [24, 41, 51, 103, 252, 257], "triangl": [24, 401], "inner_mesh": [24, 401], "nested_sample_point": 24, "_sample_locations_between_surfac": 24, "ey": [24, 41, 44, 64, 65, 66, 69, 71, 80, 84, 89, 161, 168, 211], "line_sample_point": 24, "_line_sample_loc": 24, "segment_half_width": 24, "n_point": 24, "ball_sample_point": 24, "_ball_sample_loc": 24, "ball_radiu": 24, "view_init": 24, "67": [24, 32, 33, 36, 42, 43, 44, 102, 118, 146, 189], "plot_trisurf": 24, "scatter": [24, 94, 144, 146, 327, 328, 329, 330, 331, 332, 334, 337, 339, 341, 343, 345, 347, 349, 359, 368], "sample_point": 24, "602": [24, 27, 33], "plot_surface_projection_strategi": [24, 27], "mean_haxbi": [25, 172], "0x7f12723c95a0": 25, "0x7f1272641780": 25, "apply_mask": [25, 172, 308, 311], "masked_data": [25, 99, 172], "timepoint": [25, 172], "150": [25, 33, 36, 41, 42, 44, 86, 96, 102, 105, 111, 172, 358], "And": [25, 41, 147, 162, 169, 172], "ylabel": [25, 30, 32, 42, 48, 49, 55, 57, 58, 65, 66, 172], "intens": [25, 50, 70, 81, 88, 94, 171, 172, 248, 280, 300, 304, 357, 358, 364, 370, 371, 372, 379, 386, 401, 415], "xlim": [25, 30, 172], "95": [25, 33, 36, 42, 43, 44, 91, 93, 102, 105, 141, 146, 172, 253, 255, 256, 288], "895": [25, 27], "1359": [25, 27], "plot_visu": [25, 27], "releas": [26, 111, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 146, 168, 190, 198, 211, 212, 218, 231, 250, 251, 253, 254, 255, 256, 258, 259, 260, 261, 263, 276, 279, 281, 402, 416], "fetch_megatrawls_netmat": 26, "partial": [26, 48, 52, 99, 147, 151, 178, 183, 218, 305], "eigen": [26, 218], "regress": [26, 30, 31, 39, 40, 44, 55, 56, 111, 113, 122, 132, 138, 139, 140, 144, 146, 148, 153, 157, 158, 159, 161, 162, 163, 166, 186, 241, 242, 243, 244, 247, 249, 250, 255, 256, 263, 276, 304, 305, 308, 309, 310, 311, 312, 417], "netmat": [26, 122, 146], "eigen_regress": [26, 218], "partial_correl": [26, 58, 183, 218], "correlation_matric": [26, 47, 51, 218], "util": [26, 43, 44, 48, 50, 87, 88, 102, 105, 106, 120, 127, 131, 138, 142, 146, 151, 161, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 204, 205, 206, 301, 409], "n": [26, 41, 42, 49, 51, 56, 57, 58, 62, 70, 71, 77, 79, 80, 84, 88, 91, 93, 94, 99, 100, 102, 103, 105, 106, 107, 111, 115, 116, 118, 119, 120, 122, 125, 146, 154, 160, 161, 163, 168, 188, 197, 204, 207, 208, 218, 226, 248, 249, 250, 254, 255, 256, 263, 272, 304, 305, 310, 314, 315, 316, 318, 327, 328, 329, 330, 331, 332, 334, 337, 339, 341, 343, 345, 347, 349, 359, 368, 386, 389, 390], "plot_matrix": [26, 35, 50, 51, 52, 53, 54, 56, 57, 58, 129, 130, 135, 146, 151], "704": [26, 27, 33], "plot_visualize_megatrawls_netmat": [26, 27], "08": [27, 30, 32, 33, 36, 49, 63, 96, 111, 218, 285, 304, 358], "161": [27, 33, 41], "auto_examples_01_plot": 27, "655": [27, 33], "1024": [27, 139, 146, 193], "09": [27, 30, 32, 33, 44, 73, 96, 111, 192, 205, 211, 216, 225, 236, 263, 276, 281, 395, 397], "mvpa": [28, 110, 166, 417], "stimuli": [28, 30, 32, 33, 45, 66, 80, 98, 110, 147, 148, 150, 151, 153, 163, 168, 171, 210, 220, 283, 300, 307, 308, 311, 350, 372, 377], "jimura": [28, 45, 110, 111, 219, 244, 247, 372], "mix": [28, 44, 45, 110, 157, 159, 186, 219, 244, 246, 247, 372, 417], "gambl": [28, 45, 110, 157, 159, 219, 244, 247, 372, 417], "morphometri": [28, 45, 74, 82, 110, 153, 164, 166, 167, 211, 212, 225, 242, 247, 276, 279, 286, 297, 307, 311, 322, 350, 361, 372, 377, 393, 395, 417], "oasi": [28, 45, 74, 82, 110, 111, 159, 165, 167, 211, 212, 225, 242, 247, 276, 279, 286, 297, 307, 311, 322, 350, 361, 372, 377, 393, 395], "prior": [28, 45, 48, 54, 66, 91, 110, 111, 140, 146, 147, 159, 162, 179, 198, 225, 241, 242, 246, 247, 263, 276, 309, 310, 312, 358, 372, 377], "svm": [28, 34, 35, 39, 42, 44, 45, 51, 99, 110, 113, 127, 146, 155, 157, 159, 166, 168, 173, 210, 241, 288, 372, 377, 379, 417], "searchlight": [28, 44, 45, 110, 111, 126, 129, 132, 138, 146, 153, 157, 166, 167, 168, 210, 230, 286, 288, 291, 293, 294, 307, 311, 365, 372, 376, 377, 400, 401, 417], "cross": [28, 32, 33, 36, 37, 40, 42, 44, 45, 51, 55, 97, 99, 109, 110, 111, 114, 138, 146, 147, 154, 157, 180, 210, 221, 225, 233, 241, 242, 243, 244, 245, 246, 247, 288, 298, 307, 311, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 353, 357, 362, 365, 370, 371, 372, 377, 379, 415, 417], "simul": [28, 45, 46, 59, 63, 68, 100, 110, 149, 158, 180, 245, 321, 369, 377, 417], "encod": [28, 41, 45, 71, 75, 84, 110, 111, 154, 155, 173, 220, 243, 244, 283, 300, 304, 307, 308, 311, 350, 372], "miyawaki": [28, 45, 89, 110, 111, 220, 283, 300, 307, 308, 311, 350, 372, 377], "2008": [28, 45, 110, 111, 220, 278, 283, 300, 307, 308, 311, 322, 350, 372, 377], "effici": [29, 66, 111, 152, 154, 160, 161, 168, 179, 182, 221, 243, 244], "featur": [29, 31, 32, 33, 34, 35, 42, 44, 49, 51, 66, 94, 99, 103, 104, 111, 113, 130, 132, 133, 138, 142, 154, 155, 156, 157, 158, 159, 160, 161, 168, 169, 173, 179, 180, 182, 241, 242, 243, 244, 245, 246, 247, 248, 251, 321, 383, 385, 386, 388, 397, 398, 412, 416, 417], "func_img": [29, 153], "identifi": [29, 30, 32, 33, 50, 58, 62, 94, 111, 142, 146, 151, 159, 162, 163, 165, 188, 259, 263, 265, 270, 272], "sep": [29, 30, 31, 32, 33, 34, 35, 36, 37, 72, 94, 102, 151, 171, 323, 325, 326], "restrict": [29, 30, 31, 89, 91, 94, 102, 132, 146, 153, 158, 173, 186, 240], "place": [29, 98, 129, 146, 221, 272, 300, 324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 358, 365, 401], "uniqu": [29, 30, 32, 33, 35, 49, 51, 58, 65, 86, 94, 100, 102, 127, 146, 147, 155, 171, 188, 194, 195, 270, 309, 386, 387, 388], "aim": [29, 34, 122, 146, 153, 161, 166, 246, 247], "act": [29, 34, 111, 128, 146, 166, 184, 185, 255, 256], "sever": [29, 31, 33, 34, 49, 51, 61, 62, 64, 66, 75, 86, 94, 99, 103, 113, 126, 132, 146, 147, 155, 157, 158, 160, 161, 163, 166, 168, 169, 171, 172, 173, 180, 263, 281, 292, 317, 319, 320, 360, 370, 384, 397, 417], "niftimask": [29, 32, 34, 35, 36, 40, 41, 42, 43, 47, 51, 52, 53, 54, 55, 56, 58, 61, 70, 83, 91, 94, 96, 98, 99, 100, 102, 103, 104, 105, 106, 110, 113, 132, 135, 138, 139, 140, 141, 142, 146, 153, 156, 170, 207, 220, 241, 242, 243, 244, 246, 247, 248, 249, 260, 263, 276, 278, 288, 293, 304, 305, 307, 309, 310, 312, 316, 322, 362, 366, 371, 372, 377, 384, 393, 406, 417], "relev": [29, 34, 49, 56, 66, 69, 104, 114, 140, 144, 146, 153, 154, 160, 161, 169, 172, 173, 278, 304, 305, 322, 417], "classic": [29, 34, 94, 154, 171], "univari": [29, 33, 34, 97, 109, 110, 111, 155, 157, 159, 210, 215, 216, 241, 242, 243, 244, 246, 247, 286, 288, 293, 307, 311, 322, 350, 364, 372, 377, 417], "vector": [29, 32, 33, 34, 35, 40, 44, 51, 64, 84, 98, 99, 102, 105, 106, 113, 128, 146, 153, 154, 156, 166, 168, 178, 241, 242, 243, 244, 250, 253, 254, 255, 256, 259, 261, 304, 368, 401], "screening_percentil": [29, 32, 33, 34, 42, 43, 153, 241, 242, 243, 244, 246, 247], "percent": [29, 34, 41, 42, 43, 62, 100, 101, 108, 135, 146, 153, 271, 280, 300, 308, 309, 310, 311, 312, 327, 328, 329, 330, 331, 332, 334, 337, 339, 341, 343, 345, 347, 349, 359, 370, 378, 380, 382, 397], "smoothing_fwhm": [29, 33, 34, 35, 42, 49, 50, 53, 54, 55, 56, 58, 62, 66, 67, 75, 76, 77, 79, 89, 91, 92, 98, 100, 101, 102, 104, 105, 106, 128, 146, 151, 153, 173, 241, 242, 243, 244, 248, 249, 263, 266, 276, 278, 308, 309, 310, 311, 312, 313, 384, 386, 388], "accuraci": [29, 30, 31, 32, 33, 35, 37, 41, 51, 98, 99, 139, 146, 157, 158, 166, 168, 241, 243, 245, 246, 417], "y_pred": [29, 31, 34, 41, 43, 153, 241, 242, 243, 244, 246, 247], "out": [29, 33, 34, 35, 36, 40, 42, 43, 44, 48, 51, 53, 54, 55, 56, 57, 58, 64, 69, 98, 100, 102, 105, 106, 113, 114, 132, 135, 139, 146, 148, 153, 154, 156, 158, 160, 161, 162, 166, 168, 172, 211, 241, 242, 243, 244, 246, 247, 288, 296, 308, 309, 310, 311, 312, 324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 367, 384, 386, 387, 396, 397, 401, 415], "9444444444444444": 29, "weight_img": [29, 42, 98, 153, 173], "Or": [29, 114, 153, 197, 198, 415], "dynam": [29, 111, 153, 305], "html": [29, 33, 34, 36, 49, 52, 53, 54, 56, 58, 61, 62, 64, 75, 77, 98, 132, 136, 140, 142, 146, 153, 161, 164, 169, 173, 189, 201, 210, 241, 242, 243, 244, 248, 249, 263, 276, 305, 310, 364, 378, 379, 380, 381, 382, 384, 386, 393, 395, 415, 416], "viewer": [29, 132, 146, 153, 172, 379, 415], "haxby_face_vs_hous": 29, "914": 29, "plot_haxby_anova_svm": [29, 45, 127, 146], "fetcher": [30, 32, 122, 123, 124, 127, 132, 135, 136, 139, 141, 142, 143, 144, 146, 162, 186, 192, 193, 204, 205, 206, 207, 214, 215, 216, 225, 229], "get_data": [30, 36, 42, 49, 77, 79, 84, 94, 102, 105, 106, 107, 127, 135, 146, 171, 291], "abl": [30, 32, 161, 169, 301, 373, 375, 376, 415], "resting_st": 30, "task_mask": [30, 32], "logical_not": [30, 36, 77, 105], "find": [30, 32, 44, 50, 56, 71, 79, 100, 118, 146, 151, 152, 153, 155, 157, 160, 161, 163, 166, 169, 173, 182, 190, 283, 316, 317, 319, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 353, 356, 357, 379, 383, 385, 415, 417], "remain": [30, 32, 36, 40, 42, 43, 44, 48, 53, 56, 89, 100, 102, 105, 138, 146, 158, 161, 401], "categori": [30, 32, 33, 98, 102, 113, 153, 155, 161, 171, 210], "tag": [30, 32, 69, 108, 114, 161, 169, 301, 302], "classification_target": [30, 32], "svc_l2": [30, 154, 241, 243], "svc_l1": [30, 32, 154, 241, 243], "logistic_l1": [30, 154, 241, 243], "logistic_l2": [30, 154, 241, 243], "ridge_classifi": [30, 154, 241, 243], "predict": [30, 31, 33, 39, 40, 44, 51, 58, 60, 73, 97, 109, 111, 113, 139, 140, 142, 146, 155, 156, 158, 159, 161, 163, 164, 166, 167, 178, 196, 204, 207, 218, 228, 241, 242, 243, 244, 245, 246, 247, 255, 256, 263, 276, 281, 282, 293, 298, 307, 310, 312, 316, 350, 372, 394, 416, 417], "score": [30, 32, 37, 41, 42, 44, 48, 51, 80, 98, 99, 102, 103, 105, 106, 138, 139, 146, 153, 154, 156, 157, 159, 168, 180, 225, 241, 242, 243, 244, 245, 246, 247, 248, 249, 251, 276, 280, 300, 304, 308, 309, 310, 311, 312, 322, 358, 384, 386, 397, 417], "classifiers_data": 30, "classifier_nam": 30, "roc_auc": [30, 32, 98, 156, 241, 243], "t0": [30, 41], "2f": [30, 32, 41, 42, 43, 44, 49, 57, 89], "auc": [30, 32, 153, 166], "std": [30, 32, 44, 51, 89, 104], "______________________________________________________________________": 30, "79": [30, 33, 36, 42, 43, 66, 72, 91, 102], "scissor": [30, 32, 33, 171], "98": [30, 32, 33, 36, 42, 43, 44, 87, 91, 93, 102, 111, 141, 146, 278, 322], "cat": [30, 32, 33, 98, 113, 153, 167, 171], "shoe": [30, 32, 33, 34, 171], "scrambledpix": [30, 32, 33, 94, 171], "bottl": [30, 32, 33, 34, 171], "chair": [30, 32, 33, 171], "72": [30, 33, 36, 41, 42, 43, 44, 56, 58, 62, 91, 93, 102, 111, 141, 146, 159, 205], "97": [30, 33, 36, 42, 43, 44, 88, 102], "82": [30, 32, 33, 36, 42, 43, 89, 102], "89": [30, 32, 33, 36, 42, 43, 44, 72, 77, 102, 105], "07": [30, 32, 33, 36, 44, 49, 59, 76, 91, 96, 111, 154, 198, 211, 236, 258, 385], "85": [30, 33, 36, 42, 43, 44, 47, 91, 102, 105, 120, 146, 316, 317, 319], "87": [30, 32, 33, 36, 42, 43, 44, 72, 91, 102, 111], "rudimentari": 30, "diagram": [30, 163], "all_categori": 30, "hstack": [30, 64, 67, 77, 80, 253, 255, 256], "tick_posit": [30, 32], "ytick": [30, 44, 48, 51, 99], "height": [30, 33, 51, 99, 135, 146, 263, 276, 324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 357, 358, 359, 362, 364, 365, 368, 369, 370, 371, 372, 378, 380, 382, 393, 395], "zip": [30, 32, 34, 38, 41, 47, 50, 51, 53, 58, 99, 101, 103, 108, 110, 151, 196, 211], "score_mean": [30, 32], "barh": [30, 48, 51, 99], "xmin": [30, 357, 358, 359, 362, 364, 365, 368, 370, 371, 372], "loc": [30, 32, 34, 42, 43, 49, 68, 70, 91, 100, 323, 325, 326], "lower": [30, 31, 32, 39, 51, 70, 77, 89, 94, 122, 146, 152, 155, 159, 160, 166, 172, 178, 184, 185, 241, 242, 243, 244, 253, 255, 256, 316, 319, 324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 356, 357, 358, 362, 364, 365, 368, 369, 370, 371, 373, 396], "ncol": [30, 63, 79, 100, 101, 105], "tight_layout": [30, 32, 48, 51, 55, 58, 70, 78, 80, 99], "penalti": [30, 39, 43, 154, 159, 166, 168, 241, 242, 243, 246, 247], "logist": [30, 31, 111, 154, 155, 159, 241, 243, 246, 247], "main": [30, 56, 66, 67, 68, 71, 94, 116, 144, 146, 153, 158, 161, 162, 166, 171, 173, 188, 263, 265, 270, 301, 317, 319, 324], "ell_1": 30, "ell_2": 30, "spars": [30, 39, 40, 46, 48, 49, 57, 58, 59, 110, 111, 148, 149, 151, 152, 154, 159, 166, 167, 174, 179, 180, 182, 196, 207, 241, 242, 243, 244, 246, 247, 248, 249, 307, 310, 355, 359, 369, 373, 377, 378, 386, 417], "intra": [30, 32], "logical_or": 30, "assert": 30, "fmri_niimgs_condit": 30, "mean_epi_img": 30, "ab": [30, 43, 44, 53, 58, 81, 84, 102, 103, 104, 111, 160, 179, 182, 191, 201, 230, 281, 322, 327, 328, 329, 330, 331, 332, 334, 337, 339, 341, 343, 345, 347, 349, 359, 397], "1e": [30, 39, 40, 49, 179, 180, 182, 225, 246, 247, 251, 285, 324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 372, 375, 379, 385], "493": [30, 33, 45], "1338": [30, 45], "plot_haxby_different_estim": [30, 45, 135, 146], "implicit": [31, 39, 138, 146, 155, 166, 243, 244], "aggreg": [31, 39, 58, 138, 146, 155, 166, 189, 243, 244], "cost": [31, 39, 53, 79, 138, 146, 150, 154, 155, 159, 160, 161, 166, 173, 243, 244], "data_fil": 31, "behavior": [31, 34, 35, 48, 50, 75, 77, 98, 111, 113, 122, 129, 139, 144, 146, 153, 154, 156, 157, 161, 166, 170, 173, 199, 218, 307, 308, 309, 310, 311, 312, 386, 417], "condition_mask_train": 31, "condition_mask_test": 31, "x_train": [31, 41, 44], "x_test": [31, 41, 44, 241, 242, 243, 244, 245], "y_train": [31, 34, 41, 44], "y_test": [31, 34, 41, 44, 241, 242, 243, 244, 245], "background_img": [31, 43], "fremclassifi": [31, 138, 139, 146, 154, 155, 241, 244], "_util": [31, 32, 39, 47, 49, 52, 54, 57, 62, 77, 79, 122, 141, 144, 146, 160, 414], "param_valid": [31, 32, 39, 127, 146], "bigger": [31, 39, 43], "feature_select": [31, 35, 36, 41, 42, 44, 94, 98, 102, 105, 106, 156], "_univariate_select": 31, "112": [31, 33, 41, 43, 82, 92, 93, 111, 304, 305], "10420": 31, "113": [31, 33, 41, 43, 77], "runtimewarn": [31, 58, 77, 79], "invalid": [31, 58, 122, 146], "encount": [31, 58, 77, 79, 373, 375, 376], "true_divid": 31, "4444": [31, 34], "coef": [31, 44, 98, 263, 272], "52": [31, 33, 36, 42, 43, 44, 55, 58, 91, 102, 173, 190, 415], "improv": [31, 63, 75, 111, 125, 128, 131, 132, 135, 142, 143, 144, 146, 153, 154, 155, 159, 160, 161, 163, 166, 171, 173, 206, 211, 281, 309, 383, 397], "mechan": [31, 153], "reason": [31, 43, 47, 48, 66, 92, 114, 154, 156, 158, 160, 161, 163, 169, 401], "even": [31, 42, 49, 50, 65, 79, 100, 114, 135, 140, 146, 160, 161, 168, 221, 223], "heavier": 31, "l2": [31, 154, 155, 241, 243, 383, 384, 385], "ridg": [31, 40, 44, 154, 155, 159, 241, 242, 243, 244], "fremregressor": [31, 39, 138, 139, 146, 154, 155, 242, 243], "solv": [31, 39, 160, 161, 169, 249, 322], "096": [31, 41, 45], "1421": 31, "plot_haxby_frem": [31, 45], "area": [32, 64, 67, 80, 94, 140, 146, 151, 153, 158, 162, 163, 166, 167, 173, 201, 211, 230, 285, 323, 325, 326, 335, 338, 373, 376, 382], "older": [32, 35, 36, 40, 41, 42, 47, 48, 51, 52, 53, 54, 55, 56, 58, 61, 70, 89, 91, 92, 94, 98, 99, 100, 102, 103, 104, 105, 106, 111, 113, 127, 128, 129, 130, 146, 161, 171, 225, 283], "upgrad": [32, 35, 36, 40, 41, 42, 47, 51, 52, 53, 54, 55, 56, 58, 61, 70, 89, 91, 92, 94, 98, 99, 100, 102, 103, 104, 105, 106, 113, 127, 129, 135, 140, 142, 146], "masker": [32, 33, 35, 36, 40, 41, 42, 47, 49, 51, 52, 53, 54, 55, 56, 58, 61, 70, 89, 91, 92, 94, 98, 99, 100, 102, 103, 104, 105, 106, 113, 119, 120, 135, 138, 139, 140, 141, 142, 144, 146, 148, 150, 153, 156, 162, 170, 172, 241, 242, 243, 244, 246, 247, 248, 249, 263, 276, 278, 304, 305, 322, 366, 384, 386, 389, 390, 391, 392, 417], "input_data": [32, 35, 36, 40, 41, 42, 47, 51, 52, 53, 54, 55, 56, 58, 61, 70, 89, 91, 92, 94, 98, 99, 100, 102, 103, 104, 105, 106, 113, 142, 146], "That": [32, 35, 36, 40, 41, 42, 47, 51, 52, 53, 54, 55, 56, 58, 61, 70, 89, 91, 92, 94, 98, 99, 100, 102, 103, 104, 105, 106, 113, 139, 146, 166, 250, 254, 263, 265, 270], "occurr": [32, 35, 36, 40, 41, 42, 47, 51, 52, 53, 54, 55, 56, 58, 61, 70, 89, 91, 92, 94, 98, 99, 100, 102, 103, 104, 105, 106, 113, 158], "practic": [32, 51, 69, 99, 147, 150, 154, 156, 158, 160, 161, 162, 163, 168, 171, 172], "unmask": [32, 33, 44, 112, 127, 130, 146, 170, 172, 248, 249, 417], "task_data": 32, "mask_nam": 32, "mask_scor": 32, "mask_chance_scor": 32, "tobe": [32, 111, 231], "518": [32, 33], "screen": [32, 111, 159, 241, 242, 243, 244, 246, 247], "rais": [32, 48, 50, 63, 78, 94, 122, 129, 131, 132, 135, 142, 144, 146, 168, 171, 270, 276, 278, 279, 282, 291, 295, 296, 309, 310, 312, 318], "clustering_percentil": [32, 243, 244], "76": [32, 33, 42, 43, 44, 66, 72, 102, 192, 200], "73": [32, 33, 36, 42, 43, 58, 91, 102], "83": [32, 33, 36, 42, 43, 44, 72, 102, 111, 115, 146, 278, 322], "86": [32, 33, 36, 42, 43, 102], "xtick": [32, 34, 35, 44, 94], "rgb": [32, 381], "score_ch": 32, "edgecolor": [32, 40, 324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 357, 359, 362, 364, 365, 368, 370, 371, 372], "ylim": 32, "540": [32, 33, 36, 42, 45, 62, 102], "1357": [32, 45], "plot_haxby_full_analysi": [32, 45, 135, 146], "record": [33, 40, 66, 153, 163, 166], "unique_sess": 33, "datafram": [33, 62, 63, 64, 66, 67, 72, 75, 76, 77, 78, 79, 80, 81, 100, 101, 114, 138, 142, 143, 146, 178, 186, 192, 193, 204, 205, 206, 214, 215, 216, 225, 248, 249, 263, 264, 266, 270, 276, 277, 278, 304, 305, 306, 308, 309, 311, 312, 360, 361, 363, 384, 394, 397], "conditions_sess": 33, "frame": [33, 63, 69, 89, 173, 265, 288, 304, 324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 393], "n_scan": [33, 61, 63, 69, 71, 108, 163, 265], "frame_tim": [33, 63, 68, 69, 71, 108, 162, 264, 265, 270], "events_": 33, "insert": [33, 197, 198, 263, 276, 378, 379, 380, 381, 382, 393, 395, 415], "togeth": [33, 48, 68, 69, 70, 80, 147, 155, 156, 163, 166, 204, 206, 240, 243, 244, 248, 266, 281, 386], "conditions_label": 33, "008": [33, 41], "nilearn_cach": [33, 35, 36, 39, 42, 43, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 58, 61, 92, 98, 99, 100, 102, 103, 104, 105, 106, 151], "grab": [33, 47, 48, 49, 65, 100, 114], "fmri_sess": 33, "condition_": 33, "________________________________________________________________________________": [33, 43, 48, 49, 53, 54, 56, 58], "nifti_mask": [33, 35, 36, 42, 92, 102, 105, 106, 113], "_filter_and_mask": 33, "0x7f122cb34610": 33, "0x7f12412ee8c0": 33, "detrend": [33, 40, 41, 49, 51, 53, 54, 55, 56, 58, 61, 89, 91, 92, 94, 99, 100, 113, 118, 132, 140, 142, 146, 168, 172, 173, 248, 249, 281, 287, 308, 309, 310, 311, 312, 358, 384, 386, 397, 398], "high_variance_confound": [33, 49, 53, 54, 56, 58, 66, 89, 91, 92, 122, 139, 146, 173, 308, 309, 310, 311, 312], "low_pass": [33, 49, 51, 53, 54, 55, 56, 58, 61, 89, 91, 92, 99, 100, 132, 146, 173, 241, 242, 243, 244, 246, 247, 248, 249, 281, 308, 309, 310, 311, 312, 384, 386, 396, 397], "standardize_confound": [33, 49, 53, 54, 56, 58, 89, 91, 92, 142, 146, 173, 248, 308, 309, 310, 311, 312, 397], "target_affin": [33, 49, 53, 54, 56, 84, 89, 92, 172, 173, 241, 242, 243, 244, 246, 247, 248, 249, 263, 266, 276, 293, 296, 308, 311, 314, 316, 317, 318, 319, 384], "target_shap": [33, 49, 53, 54, 56, 84, 89, 92, 172, 173, 241, 242, 243, 244, 246, 247, 248, 249, 263, 266, 276, 293, 296, 308, 311, 314, 316, 317, 319, 384], "memory_level": [33, 35, 36, 43, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 58, 61, 89, 91, 92, 98, 99, 100, 102, 103, 104, 105, 106, 151, 173, 179, 241, 242, 243, 244, 246, 247, 248, 249, 263, 266, 276, 282, 308, 309, 310, 311, 312, 384, 385, 386], "joblib": [33, 43, 47, 48, 49, 53, 54, 56, 58, 92, 135, 138, 142, 146, 150, 179, 241, 242, 243, 244, 246, 247, 248, 249, 263, 276, 282, 308, 309, 310, 311, 312, 314, 315, 316, 317, 318, 319, 384, 385, 386], "verbos": [33, 35, 36, 42, 43, 44, 48, 49, 52, 53, 54, 55, 56, 57, 58, 61, 89, 91, 92, 98, 99, 100, 102, 105, 132, 146, 173, 179, 180, 182, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 231, 241, 242, 243, 244, 245, 246, 247, 248, 249, 258, 263, 266, 272, 276, 278, 282, 293, 308, 309, 310, 311, 312, 314, 315, 316, 317, 318, 319, 322, 383, 384, 385, 386], "confound": [33, 47, 49, 50, 51, 52, 53, 54, 55, 58, 62, 77, 78, 99, 100, 101, 105, 108, 111, 113, 118, 122, 132, 138, 139, 140, 142, 144, 146, 148, 151, 152, 153, 160, 166, 170, 172, 178, 187, 207, 248, 249, 263, 276, 277, 278, 281, 287, 304, 305, 307, 308, 309, 310, 311, 312, 322, 384, 386, 397, 398, 405, 417], "sample_mask": [33, 49, 53, 54, 56, 58, 66, 140, 142, 144, 146, 263, 304, 305, 307, 308, 309, 310, 311, 312, 386, 397], "__________________________________________________filter_and_mask": 33, "0min": [33, 48, 49, 52, 53, 54, 56, 58], "run_glm": [33, 69, 108, 140, 144, 146], "114769": 33, "149296": 33, "367151": 33, "779998": 33, "bin": [33, 49, 168, 263, 272], "random_st": [33, 36, 42, 43, 44, 48, 49, 50, 51, 92, 99, 103, 104, 144, 146, 151, 241, 243, 248, 249, 263, 272, 278, 322, 383, 384], "__________________________________________________________run_glm": 33, "44475": 33, "379275": 33, "___________________________________________________________unmask": 33, "013524": 33, "844135": 33, "217486": 33, "430348": 33, "106474": 33, "182434": 33, "747494": 33, "660679": 33, "080159": 33, "32614": 33, "253894": 33, "452682": 33, "240914": 33, "244136": 33, "0x7f1241359fc0": 33, "0x7f1241359db0": 33, "660587": 33, "536042": 33, "254408": 33, "842804": 33, "871458": 33, "990755": 33, "627194": 33, "290147": 33, "153013": 33, "320123": 33, "15748": 33, "082416": 33, "997775": 33, "754066": 33, "109412": 33, "330079": 33, "030863": 33, "731439": 33, "559734": 33, "720924": 33, "0x7f124168da20": 33, "0x7f124168e620": 33, "205584": 33, "587189": 33, "836576": 33, "676956": 33, "695564": 33, "455092": 33, "457214": 33, "537178": 33, "803925": 33, "570463": 33, "614932": 33, "232909": 33, "527175": 33, "062723": 33, "126756": 33, "274819": 33, "635166": 33, "395548": 33, "250365": 33, "364311": 33, "0x7f123f910550": 33, "0x7f124135b340": 33, "026206": 33, "974948": 33, "616334": 33, "104535": 33, "503142": 33, "639351": 33, "271132": 33, "047089": 33, "318104": 33, "724813": 33, "073279": 33, "316956": 33, "380183": 33, "690685": 33, "631912": 33, "753286": 33, "155784": 33, "065658": 33, "186135": 33, "69267": 33, "0x7f125ded01c0": 33, "0x7f125ded3fa0": 33, "033577": 33, "45955": 33, "57195": 33, "994713": 33, "158342": 33, "068131": 33, "396497": 33, "424937": 33, "091867": 33, "463109": 33, "054041": 33, "122921": 33, "025223": 33, "562991": 33, "001653": 33, "968729": 33, "274665": 33, "667": 33, "564329": 33, "496068": 33, "0x7f123f910280": 33, "0x7f123ca19f30": 33, "150482": 33, "81308": 33, "204891": 33, "417917": 33, "987059": 33, "41717": 33, "24774": 33, "674399": 33, "731234": 33, "341998": 33, "714869": 33, "182988": 33, "222674": 33, "480354": 33, "366899": 33, "091153": 33, "2708": [33, 48, 59], "247146": 33, "251249": 33, "413063": 33, "0x7f1241358be0": 33, "0x7f1241358fa0": 33, "129": [33, 41, 67, 118, 146], "51173": 33, "279282": 33, "911755": 33, "839058": 33, "290412": 33, "609221": 33, "090297": 33, "822602": 33, "747918": 33, "108861": 33, "095788": 33, "376995": 33, "807425": 33, "826947": 33, "017351": 33, "622242": 33, "625042": 33, "231224": 33, "056424": 33, "672737": 33, "0x7f122cb0bf70": 33, "0x7f123faded40": 33, "915996": 33, "07737": 33, "981215": 33, "372383": 33, "200737": 33, "008536": 33, "066075": 33, "168487": 33, "636238": 33, "145684": 33, "932773": 33, "580823": 33, "455655": 33, "685537": 33, "715791": 33, "245273": 33, "099707": 33, "79538": 33, "913842": 33, "519925": 33, "629218": 33, "0x7f123af00af0": 33, "0x7f12412efdf0": 33, "292987": 33, "392956": 33, "935719": 33, "602484": 33, "425611": 33, "348025": 33, "31867": 33, "408223": 33, "534932": 33, "150519": 33, "149007": 33, "640215": 33, "640699": 33, "50369": 33, "246384": 33, "346316": 33, "162243": 33, "519251": 33, "203695": 33, "335337": 33, "0x7f12412b9060": 33, "0x7f12412b8be0": 33, "223948": 33, "959582": 33, "677519": 33, "024363": 33, "034515": 33, "612397": 33, "62798": 33, "160445": 33, "506632": 33, "459388": 33, "261016": 33, "747236": 33, "231796": 33, "098904": 33, "148582": 33, "999934": 33, "548262": 33, "09934": 33, "222824": 33, "318977": 33, "0x7f1272a1ac50": 33, "0x7f125ded17e0": 33, "66533": 33, "299562": 33, "647343": 33, "331865": 33, "175763": 33, "429485": 33, "146358": 33, "947626": 33, "806852": 33, "720554": 33, "008926": 33, "4544": 33, "279543": 33, "828183": 33, "463642": 33, "26599": 33, "058735": 33, "191442": 33, "390268": 33, "112207": 33, "0x7f124135a200": 33, "0x7f1241358c70": 33, "095605": 33, "449202": 33, "59974": 33, "179998": 33, "340751": 33, "056108": 33, "043261": 33, "144442": 33, "517954": 33, "611394": 33, "797134e": 33, "317655e": 33, "398581": 33, "488427": 33, "714396": 33, "869941": 33, "924894": 33, "723724": 33, "145297": 33, "821272": 33, "summari": [33, 62, 64, 91, 140, 161, 251], "make_glm_report": [33, 61, 62, 64, 75, 139, 142, 146], "mean_img_": [33, 64, 67], "drift_ord": [33, 63, 66, 162, 263, 266, 270], "fir_delai": [33, 63, 65, 263, 265, 266, 270], "glover": [33, 63, 66, 68, 69, 108, 162, 263, 265, 266, 267, 268, 269, 270], "scaling_axi": [33, 100, 142, 146, 263], "signal_sc": [33, 70, 100, 142, 146, 263, 266], "slice_time_ref": [33, 61, 66, 69, 71, 263, 266], "subject_label": [33, 62, 78, 101, 263, 276, 277, 278], "\u03b1": 33, "minimum": [33, 77, 79, 89, 118, 120, 125, 127, 128, 129, 132, 135, 138, 140, 142, 146, 151, 263, 276, 280, 300, 309, 327, 328, 329, 330, 331, 332, 334, 337, 339, 341, 343, 345, 347, 349, 353, 359, 379, 386, 387, 388, 389, 394, 395], "distanc": [33, 246, 247, 263, 276, 353, 394, 395, 401], "75": [33, 36, 40, 42, 43, 66, 72, 91, 102, 105, 111, 189, 322], "88": [33, 36, 42, 43, 81, 89, 91, 102, 111, 322], "147": [33, 41], "62": [33, 36, 42, 43, 44, 62, 72, 100, 102, 107, 111, 129, 146, 195], "38": [33, 40, 42, 43, 45, 49, 62, 77, 91, 102, 132, 146], "393": 33, "196": [33, 41, 52, 59], "2264": 33, "50": [33, 36, 42, 43, 44, 45, 49, 54, 57, 58, 62, 66, 70, 73, 86, 93, 96, 98, 102, 105, 111, 114, 158, 160, 173, 180, 182, 218, 219, 243, 244, 251, 265, 267, 268, 269, 270, 273, 274, 275, 283, 304, 305, 327, 328, 329, 330, 331, 332, 334, 337, 339, 341, 343, 345, 347, 349, 359, 384, 386, 388, 415], "77": [33, 36, 42, 43, 66, 72, 102], "28": [33, 36, 42, 43, 44, 58, 62, 89, 91, 102, 103, 111, 115, 132, 146, 189, 198, 283], "246": [33, 41, 72], "541": 33, "59": [33, 36, 42, 43, 44, 48, 49, 51, 54, 59, 72, 91, 100, 102, 111, 115, 146, 189, 304, 305], "94": [33, 36, 42, 43, 44, 77, 91, 102, 105, 106, 215, 216], "344": [33, 41, 53, 59], "492": 33, "12a": 33, "58": [33, 36, 39, 42, 43, 45, 53, 59, 91, 102, 132, 146], "1132": 33, "639": 33, "984": 33, "16a": 33, "47": [33, 36, 42, 43, 91, 98, 102, 105, 109, 111, 186, 191, 192, 211, 236], "49": [33, 42, 43, 47, 59, 67, 86, 91, 102, 111, 132, 146], "787": 33, "23a": 33, "65": [33, 36, 42, 43, 44, 91, 102, 105, 120, 146], "27a": 33, "44": [33, 36, 42, 43, 44, 72, 91, 102, 111, 118, 146, 278, 322], "295": [33, 41, 111, 201], "37": [33, 36, 42, 43, 44, 81, 91, 94, 102, 111, 118, 146, 304, 305, 398], "590": [33, 36, 42, 61, 67, 73, 102], "31a": 33, "31b": 33, "32": [33, 34, 36, 40, 42, 43, 44, 45, 58, 66, 84, 91, 102, 105, 173, 267, 268, 269, 273, 274, 275, 415], "41a": 33, "2214": [33, 135, 146], "42a": 33, "42b": 33, "43a": 33, "56": [33, 35, 36, 37, 42, 43, 44, 45, 72, 94, 96, 102, 111, 154, 191], "58a": 33, "64a": 33, "67a": 33, "68": [33, 42, 43, 58, 102, 173, 415], "80": [33, 36, 42, 43, 44, 47, 54, 65, 66, 72, 84, 102, 103, 105, 111, 161, 196, 280, 300, 333, 338, 340, 344, 350, 356, 401], "74": [33, 36, 42, 43, 44, 91, 102], "78": [33, 36, 42, 43, 44, 49, 53, 54, 66, 72, 93, 102, 111, 158], "96a": 33, "101": [33, 40, 41, 43, 80, 82, 111, 304, 305, 398], "103": [33, 41, 43, 111, 158, 245], "104": [33, 41, 43, 193], "105": [33, 41, 43], "106": [33, 41, 43, 111, 198, 199, 202, 218], "107": [33, 41, 43, 105], "108": [33, 41, 43, 72], "110": [33, 36, 41, 42, 43, 44, 86, 102, 105, 111, 201, 208, 226], "111": [33, 41, 43, 53, 91], "114": [33, 41, 43, 44, 132, 146], "115": [33, 41, 42, 43, 45, 98, 109, 132, 146], "116": [33, 41, 43, 72, 103, 109, 188], "117": [33, 41, 43, 93, 141, 146, 188, 288], "118": [33, 41, 43], "119": [33, 41, 43, 56, 72, 105, 120, 146], "120": [33, 36, 41, 42, 43, 44, 84, 92, 99, 102, 104, 105, 111, 201], "121": [33, 41, 66], "123": [33, 41, 193], "124": [33, 40, 41], "124a": 33, "125": [33, 40, 41, 72, 100, 111], "127": [33, 41, 129, 146], "128": [33, 41, 63, 66, 69, 84, 108, 139, 146, 193], "130": [33, 36, 41, 42, 44, 102, 105], "131": [33, 41, 72, 111, 201], "132": [33, 41, 49, 54], "133": [33, 41, 54, 59], "136": [33, 41], "137": [33, 41, 72], "138": [33, 41], "139": [33, 41], "140": [33, 36, 40, 41, 42, 44, 72, 102, 105], "141": [33, 41, 119, 146, 201], "142": [33, 41, 44, 105, 120, 146], "143": [33, 41, 62, 72], "144": [33, 41, 62, 73, 109, 111, 216], "144a": 33, "145": [33, 41], "146a": 33, "148": [33, 41], "149": [33, 41, 72], "151": [33, 41, 107], "153": [33, 41, 72], "154": [33, 41, 56, 105, 111, 304, 305, 358], "155": [33, 41, 207], "156": [33, 41, 72], "158": [33, 41, 111, 358], "159": [33, 41, 72], "160": [33, 36, 41, 42, 44, 58, 84, 102, 105, 111, 155, 204, 243, 244, 401], "162": [33, 41, 72], "163": [33, 41, 56], "164": [33, 41, 56, 72], "165": [33, 41, 56, 105], "166": [33, 41, 47, 56], "167": [33, 41, 56, 72, 95, 96, 150], "169": [33, 41, 90, 96], "170": [33, 36, 41, 42, 44, 72, 102, 105], "171": [33, 41, 56, 59, 111, 305], "172": [33, 41, 111, 155, 201, 243, 244], "173": [33, 41, 72], "174": [33, 41, 56, 111, 304, 305], "175": [33, 41], "176": [33, 41, 61, 72], "177": [33, 41, 105], "178": [33, 41], "179": [33, 41], "180": [33, 36, 41, 42, 44, 84, 102, 105, 111, 132, 146, 155, 243, 244], "181": [33, 41, 76, 111, 258], "182": [33, 41, 194, 195, 198], "183": [33, 41], "184": [33, 41, 61, 73], "185": [33, 41], "186": [33, 41], "187": [33, 41, 56, 109, 111, 304, 305], "188": [33, 41, 72, 100], "189": [33, 41, 111, 281, 397], "190": [33, 36, 41, 42, 44, 102, 105], "191": [33, 41, 72], "192": [33, 41, 84], "193": [33, 40, 41, 45, 197], "194": [33, 41], "195": [33, 41, 72], "198": [33, 41, 72, 197], "199": [33, 41], "200": [33, 36, 41, 42, 43, 44, 94, 102, 103, 105, 111, 178, 190, 198, 218, 246, 247], "201": [33, 41, 72], "202": [33, 41], "203": [33, 41, 72], "204": [33, 41, 105], "204a": 33, "205": [33, 41], "206": [33, 41, 81, 82, 111, 206], "207": [33, 41, 72], "208": [33, 41, 111, 178], "209": [33, 41, 69, 73], "211": [33, 41, 43, 95], "212": [33, 41, 43, 72, 197], "213": [33, 41], "214": [33, 41], "215": [33, 41, 72], "217": [33, 41, 188], "220": [33, 36, 41, 42, 44, 102], "221": [33, 41, 72, 111, 193], "222": [33, 41], "223": [33, 41, 73, 111, 211], "224": [33, 41, 65, 72], "225": [33, 41], "226": [33, 41, 66, 73], "227": [33, 41, 72], "228": [33, 41], "229": [33, 41, 55, 59, 197], "230": [33, 36, 41, 42, 44, 72, 102], "231": [33, 41], "232": [33, 41, 58], "233": [33, 41, 105], "234": [33, 41, 72], "235": [33, 41, 94], "236": [33, 41, 72], "237": [33, 41], "238": [33, 41, 111, 201], "239": [33, 41], "240": [33, 36, 41, 42, 44, 102], "241": [33, 41, 48, 59], "242": [33, 41, 111, 201], "243": [33, 41], "244": [33, 41], "245": [33, 41, 57], "247": [33, 41], "248": [33, 41, 72], "249": [33, 41, 59], "250": [33, 36, 41, 42, 44, 66, 102, 111], "251": [33, 41, 72], "253": [33, 41], "254": [33, 41, 72, 115, 146], "255": [33, 41, 141, 146], "256": [33, 41, 84, 139, 146, 193, 202], "257": [33, 41, 72], "258": [33, 41, 94], "259": [33, 41], "260": [33, 36, 41, 42, 44, 72, 102], "261": [33, 41, 111, 158], "262": [33, 41, 43, 111], "263": [33, 41, 197], "264": [33, 41, 58, 72, 205], "265": [33, 41], "266": [33, 41, 72], "269": [33, 41, 72, 111, 158], "270": [33, 36, 41, 42, 44, 85, 96, 102], "271": [33, 41], "272": [33, 41, 72, 73, 111, 230], "273": [33, 41, 111, 188], "274": [33, 41], "275": [33, 41, 72], "276": [33, 41], "277": [33, 41, 111, 304, 305], "279": [33, 41], "280": [33, 36, 41, 42, 44, 102], "282": [33, 41, 108, 109], "283": [33, 41], "284": [33, 41, 66, 72, 94, 111, 230], "285": [33, 41], "286": [33, 41], "287": [33, 41], "288": [33, 41, 48, 66, 72, 152, 248], "290": [33, 36, 41, 42, 44, 94, 102], "292": [33, 41, 89, 111, 322], "296": [33, 41, 66, 72], "297": [33, 41], "297a": 33, "298": [33, 41, 111, 230, 322], "299": [33, 41, 48, 152, 248], "301": [33, 39, 41], "302": [33, 41, 115, 146], "303": [33, 41], "304": [33, 41, 48, 50, 111, 159], "305": [33, 41], "306": [33, 41], "307": [33, 41, 47, 49, 52, 54], "308": [33, 41], "311": [33, 41], "312": [33, 41], "313": [33, 41, 111, 211, 236], "314": [33, 41, 111, 216], "315": [33, 41], "316": [33, 41], "317": [33, 41], "318": [33, 41], "319": [33, 41], "320": [33, 36, 41, 42, 44, 102, 111, 304], "321": [33, 41, 111, 159], "322": [33, 41], "323": [33, 41], "324": [33, 41, 59], "325": [33, 41, 52, 190], "326": [33, 41], "327": [33, 41, 111, 211, 236], "328": [33, 41, 44], "329": [33, 41, 58, 111, 204], "330": [33, 36, 41, 42, 43, 44, 45, 102], "331": [33, 41], "332": [33, 41], "333": [33, 36, 41], "334": [33, 38, 41, 45], "335": [33, 41], "337": [33, 41], "338": [33, 41], "339": [33, 41], "340": [33, 36, 41, 42, 44, 57, 59, 102], "341": [33, 41, 111, 304], "342": [33, 41], "343": [33, 41, 91], "345": [33, 41, 44], "346": [33, 41], "347": [33, 41], "348": [33, 41, 56, 91], "349": [33, 41, 89, 96], "350": [33, 36, 41, 42, 44, 102], "351": [33, 41], "352": [33, 41], "353": [33, 41, 64, 71], "354": [33, 41], "355": [33, 41], "356": [33, 41], "357": [33, 41], "358": [33, 41], "359": [33, 41], "360": [33, 36, 41, 42, 44, 62, 64, 67, 102], "361": [33, 41], "362": 33, "363": 33, "364": 33, "365": [33, 104, 109], "366": [33, 43, 73], "367": [33, 64], "368": 33, "369": 33, "370": [33, 36, 42, 44, 102], "371": [33, 64, 67], "372": 33, "373": 33, "373a": 33, "374": 33, "375": 33, "376": 33, "377": 33, "379": 33, "380": [33, 36, 42, 44, 102], "381": [33, 111, 322], "382": 33, "383": 33, "384": 33, "385": [33, 84, 96], "386": [33, 91, 96], "387": 33, "388": 33, "389": 33, "390": [33, 36, 42, 44, 102], "391": [33, 35, 45], "392": 33, "394": 33, "395": 33, "396": 33, "397": [33, 111, 322], "398": 33, "399": 33, "400": [33, 36, 42, 44, 102, 111, 154, 198], "401": 33, "402": 33, "403": 33, "404": 33, "405": [33, 111, 196], "406": 33, "407": 33, "408": 33, "409": 33, "410": [33, 36, 42, 44, 102, 111, 154], "411": 33, "412": 33, "413": 33, "414": 33, "415": [33, 56, 111, 196, 305], "416": [33, 225], "417": 33, "418": 33, "419": 33, "421": 33, "422": 33, "423": 33, "424": [33, 51, 59], "425": 33, "426": 33, "427": 33, "428": 33, "429": 33, "430": [33, 36, 42, 44, 96, 102], "431": [33, 92, 96], "432": [33, 44, 62], "433": 33, "434": 33, "435": [33, 96], "436": [33, 56, 87, 111, 305], "437": 33, "438": 33, "439": 33, "440": [33, 36, 42, 102], "441": 33, "443": 33, "445": 33, "446": 33, "447": 33, "448": 33, "449": 33, "450": [33, 36, 42, 102], "451": 33, "452": 33, "454": 33, "455": 33, "456": [33, 108, 109], "457": 33, "458": 33, "459": 33, "460": [33, 36, 42, 102], "461": [33, 218], "465": [33, 105, 109], "466": 33, "467": 33, "468": [33, 62, 188], "469": 33, "470": [33, 36, 42, 102], "471": 33, "472": 33, "473": 33, "474": [33, 36, 45], "475": [33, 42], "476": [33, 78], "477": 33, "478": 33, "479": 33, "480": [33, 36, 40, 42, 45, 102], "481": [33, 99, 109], "482": 33, "483": [33, 115, 146], "484": 33, "485": [33, 49], "486": 33, "487": 33, "488": [33, 92, 103, 104], "489": 33, "490": [33, 36, 42, 102], "491": 33, "494": [33, 47, 56, 59], "495": 33, "496": 33, "497": 33, "498": 33, "499": 33, "500": [33, 35, 36, 41, 42, 49, 79, 98, 102, 198], "501": [33, 58, 59], "502": [33, 48, 98], "503": 33, "505": 33, "506": [33, 64, 73], "507": 33, "508": 33, "509": 33, "510": [33, 36, 42, 102], "511": [33, 45], "512": [33, 41, 84, 139, 146, 193], "513": 33, "514": 33, "515": 33, "516": 33, "517": 33, "519": 33, "520": [33, 36, 42, 102], "521": 33, "522": 33, "523": 33, "524": 33, "525": 33, "526": 33, "527": 33, "528": [33, 44], "529": 33, "530": [33, 36, 42, 102, 103, 109], "531": 33, "532": 33, "533": 33, "534": [33, 47], "535": 33, "536": 33, "537": 33, "538": 33, "539": 33, "542": 33, "543": 33, "544": [33, 111, 219], "547": 33, "548": 33, "549": [33, 111, 158], "550": [33, 36, 42, 102], "551": 33, "552": [33, 89, 111, 219], "553": 33, "554": 33, "555": 33, "556": 33, "557": 33, "558": [33, 70, 73], "559": [33, 111, 158], "560": [33, 36, 42, 102], "561": 33, "562": [33, 111, 196], "563": 33, "564": 33, "565": [33, 73], "566": [33, 62], "567": 33, "568": 33, "569": 33, "570": [33, 36, 42, 102], "571": 33, "573": [33, 111, 196], "574": 33, "575": 33, "576": 33, "577": [33, 39, 45], "578": [33, 58, 59], "579": 33, "580": [33, 36, 42, 102], "581": 33, "582": [33, 37], "583": 33, "584": 33, "585": 33, "587": 33, "589": 33, "591": 33, "592": [33, 37], "593": 33, "595": 33, "596": [33, 100, 109], "597": 33, "598": [33, 53, 59], "599": [33, 111, 186], "600": [33, 36, 42, 49, 102, 115, 146, 198], "601": 33, "603": 33, "604": 33, "605": 33, "606": 33, "607": 33, "608": 33, "609": 33, "610": [33, 36, 42, 69, 73, 102], "611": 33, "612": 33, "613": 33, "614": 33, "615": 33, "616": 33, "617": 33, "618": 33, "619": 33, "620": [33, 36, 42, 102], "622": 33, "623": 33, "624": 33, "625": 33, "626": 33, "627": 33, "628": 33, "629": 33, "631": 33, "632": [33, 48], "633": 33, "634": [33, 63, 73], "635": 33, "636": 33, "637": 33, "638": [33, 73], "640": [33, 36, 42, 102], "641": 33, "642": [33, 230, 380], "643": 33, "644": 33, "645": 33, "646": [33, 55], "647": 33, "649": 33, "650": [33, 36, 42, 102], "651": 33, "652": 33, "653": 33, "654": 33, "657": 33, "658": 33, "659": 33, "660": [33, 36, 42, 102], "661": 33, "662": 33, "663": 33, "664": [33, 77, 82], "665": [33, 58, 111, 114, 205, 221, 223], "666": 33, "668": 33, "669": [33, 49, 111, 385], "670": [33, 36, 42, 102, 111, 114, 221, 223], "671": 33, "672": 33, "673": 33, "674": 33, "675": 33, "676": 33, "677": 33, "678": [33, 58, 111, 205], "679": 33, "680": [33, 36, 42, 102], "681": [33, 49, 111, 385], "682": 33, "683": 33, "684": 33, "685": [33, 67, 73], "686": 33, "687": 33, "688": 33, "689": 33, "690": [33, 36, 42, 102], "691": 33, "692": 33, "693": 33, "694": 33, "695": 33, "696": [33, 64, 71], "697": 33, "699": 33, "700": [33, 36, 42, 102, 135, 146, 198], "701": 33, "703": 33, "705": 33, "706": 33, "707": 33, "708": 33, "709": 33, "710": [33, 36, 42, 102], "711": 33, "713": 33, "714": 33, "715": 33, "716": 33, "717": 33, "718": 33, "719": 33, "720": [33, 36, 42, 102], "721": 33, "722": 33, "723": 33, "724": 33, "725": [33, 65, 73], "726": 33, "728": 33, "729": 33, "730": [33, 36, 42, 102], "731": 33, "732": [33, 48, 50], "733": [33, 34, 45], "734": [33, 96], "735": [33, 86], "736": [33, 34], "737": 33, "739": [33, 36], "740": [33, 42, 102], "741": 33, "742": 33, "743": 33, "745": 33, "746": 33, "13a": 33, "32a": 33, "bug": [33, 118, 125, 126, 127, 131, 144, 169, 373, 375, 376], "request": [33, 100, 122, 135, 146, 150, 160, 166, 193, 194, 195, 278, 301, 322, 351, 352, 379, 415, 416], "save_as_html": [33, 61, 62, 64, 75, 91, 92, 173, 378, 379, 380, 381, 382, 393, 395, 415], "although": [33, 39, 49, 154, 166, 169, 173], "usual": [33, 48, 77, 79, 94, 142, 146, 152, 154, 155, 156, 161, 163, 166, 168, 169, 172, 188, 243, 244, 250, 253, 316, 368, 384, 414], "classification_accuraci": [33, 98], "chance_level": 33, "4f": [33, 34, 98], "7173": 33, "1117": 33, "plot_haxby_glm_decod": [33, 45], "approach": [34, 40, 41, 48, 49, 66, 69, 111, 132, 146, 149, 152, 153, 154, 158, 160, 161, 162, 163, 167, 245, 281, 304, 305, 397, 401, 416, 417], "maxim": [34, 166, 253, 255, 256, 285, 324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350], "signific": [34, 49, 66, 75, 80, 111, 153, 158, 160, 163, 166, 278, 322, 394], "optimist": [34, 153], "lead": [34, 47, 48, 57, 84, 138, 146, 159, 160, 161, 163, 166, 180, 251, 310, 396, 415], "overfit": [34, 154, 158], "loop": [34, 44, 71, 100, 138, 146, 153, 160, 168, 172, 241, 242, 243, 244], "judg": [34, 86], "never": [34, 153, 160, 296, 297, 393], "grid": [34, 51, 68, 79, 84, 99, 154, 159, 166, 172, 180, 221, 223, 241, 242, 243, 244, 267, 268, 269, 273, 274, 275, 296, 333, 335, 338, 352, 357, 362, 365, 369, 370, 371, 372, 415], "difficulti": 34, "composit": 34, "800": [34, 42, 87, 102, 198, 263, 276, 358, 395], "complet": [34, 60, 73, 94, 110, 113, 114, 135, 146, 147, 153, 155, 162, 169, 172, 173, 208, 210, 226, 240, 263, 266, 303, 306, 311, 322, 357, 358, 359, 360, 362, 364, 365, 366, 368, 369, 370, 371, 372, 384, 393, 394, 395], "stabl": [34, 48, 56, 98, 111, 132, 146, 152, 154, 155, 160, 168, 190, 230, 241, 242, 243, 244, 248, 249, 304, 380, 401, 416], "cross_valid": [34, 98, 132, 146, 156, 241, 242, 243, 244], "excel": 34, "explan": [34, 84, 102, 153, 154, 155, 156, 161, 171, 173, 187], "param": [34, 178, 179, 180, 241, 242, 243, 244, 245, 246, 247, 248, 249, 263, 276, 307, 308, 309, 310, 311, 312, 383, 384, 385, 386], "cv_score": [34, 98], "1f": [34, 44, 373, 376], "901": 34, "918": 34, "749": 34, "screening_percentile_rang": 34, "val_scor": 34, "sp": 34, "sreen": 34, "000": [34, 42, 79, 94, 158], "8107": 34, "6111": 34, "8493": 34, "3889": 34, "8437": 34, "8389": 34, "5000": [34, 49, 55, 98, 102], "8059": 34, "8141": 34, "kfold": [34, 36, 37, 40, 44, 246, 247], "nested_cv_scor": 34, "5880": [34, 102], "tight": [34, 160], "axhlin": [34, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350], "frameon": [34, 323, 325, 326], "plot_haxby_grid_search": [34, 45], "overal": [35, 66, 70, 160, 161, 246, 247], "non_rest": 35, "unique_condit": 35, "return_index": 35, "appear": [35, 54, 89, 263, 276, 360, 394], "argsort": [35, 42, 43, 103], "fit_transform": [35, 36, 42, 47, 49, 50, 51, 52, 54, 55, 56, 58, 61, 70, 89, 92, 98, 99, 100, 102, 103, 104, 105, 106, 113, 148, 151, 162, 173, 178, 248, 249, 263, 276, 307, 308, 309, 310, 311, 312, 383, 384, 385, 386], "selectkbest": [35, 41, 127, 146], "f_classif": [35, 36, 41, 94, 98, 156], "multiclass": [35, 154], "onevsoneclassifi": [35, 154], "onevsrestclassifi": [35, 154], "svc_ovo": 35, "svc_ova": 35, "cross_val_scor": [35, 98, 156], "cv_scores_ovo": 35, "cv_scores_ova": 35, "ovo": 35, "ova": 35, "parallel": [35, 36, 42, 43, 44, 48, 53, 57, 58, 79, 98, 102, 105, 160, 163, 278, 308, 322], "backend": [35, 36, 42, 43, 44, 48, 53, 57, 58, 98, 102, 105, 122, 132, 137, 142, 146, 249, 377], "sequentialbackend": [35, 36, 42, 43, 44, 48, 53, 57, 58, 98, 102, 105], "concurr": [35, 36, 42, 43, 44, 48, 53, 57, 58, 98, 101, 102, 105, 108], "worker": [35, 36, 42, 43, 44, 48, 53, 57, 58, 98, 102, 105, 322], "elaps": [35, 36, 42, 43, 44, 48, 53, 57, 58, 98, 102, 105], "finish": [35, 36, 42, 43, 44, 48, 53, 57, 58, 98, 102, 105, 160, 280, 300, 327, 328, 329, 330, 331, 332, 334, 337, 339, 341, 343, 345, 347, 349, 359, 370, 378, 380, 382], "601855088049469": 35, "6712058072321548": 35, "boxplot": [35, 94], "text": [35, 63, 75, 94, 98, 105, 111, 153, 161, 170, 202, 210, 220, 250, 254, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 417], "metric": [35, 40, 41, 51, 79, 135, 146, 153, 154, 158, 166, 241, 242, 243, 244], "confusion_matrix": [35, 154], "y_pred_ovo": 35, "hot_r": 35, "y_pred_ova": 35, "3144": 35, "plot_haxby_multiclass": [35, 45], "intrins": [36, 111, 150, 198, 199, 202, 305], "process_mask_img": [36, 44, 158, 245], "back": [36, 41, 42, 48, 55, 98, 100, 102, 104, 113, 120, 128, 129, 146, 150, 158, 161, 173, 248, 249, 307, 308, 311, 321, 353, 383, 384, 385], "astyp": [36, 40, 41, 43, 44, 68, 75, 84, 94], "process_mask": [36, 44, 126, 146], "picked_slic": 36, "02_decod": 36, "plot_haxby_searchlight": [36, 45], "thread": 36, "progress": [36, 42, 102, 105, 122, 146, 263], "mess": 36, "onc": [36, 49, 57, 114, 142, 146, 147, 152, 153, 160, 162, 163, 165, 166, 168, 169, 173, 383, 401], "job": [36, 42, 44, 79, 102, 105, 114, 263, 276, 278, 322], "shuffl": [36, 37, 48, 243, 244], "lt": [36, 75, 89, 91, 92], "0x7f122cb0b280": 36, "gt": [36, 75, 89, 91, 92], "0x7f122cb0b2b0": 36, "environ": [36, 49, 52, 53, 58, 62, 75, 77, 132, 133, 135, 142, 146, 153, 168, 171, 232, 379], "rerun": [36, 49, 52, 53, 58, 62, 75, 77], "trust": [36, 49, 52, 53, 58, 62, 75, 77, 163], "unabl": [36, 49, 52, 53, 58, 62, 70, 75, 77, 135, 146], "render": [36, 49, 52, 53, 58, 62, 75, 77, 133, 146, 161, 336, 364, 366, 373, 375, 376, 378, 380, 381, 382], "page": [36, 49, 52, 53, 58, 62, 75, 77, 111, 132, 136, 142, 143, 144, 146, 150, 154, 158, 160, 161, 163, 169, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400, 401], "nbviewer": [36, 49, 52, 53, 58, 62, 75, 77], "searchlightsearchlight": 36, "fmri_mask": [36, 92, 98, 102, 105, 106, 113], "f_valu": [36, 44], "p_valu": [36, 44, 77, 79, 94, 107, 139, 146, 251, 263, 276], "log10": [36, 42, 44, 77, 79, 94, 102, 105, 106, 278, 322, 394], "p_unmask": 36, "inverse_transform": [36, 40, 42, 49, 55, 92, 98, 100, 102, 103, 104, 105, 106, 112, 128, 135, 144, 146, 150, 178, 248, 249, 307, 308, 309, 310, 311, 312, 383, 384, 385, 386, 417], "surrog": [36, 102], "mean_fmri": 36, "searchlight_img": 36, "scores_": [36, 44, 158], "center": [36, 47, 50, 51, 55, 58, 61, 99, 105, 106, 133, 144, 146, 148, 151, 173, 180, 241, 242, 243, 244, 245, 246, 247, 248, 249, 263, 324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 354, 355, 356, 383, 384, 386, 394, 401], "hot": [36, 304], "f_score": [36, 157, 417], "p_ma": 36, "f_score_img": 36, "demo": [37, 100, 101, 108, 113, 138, 142, 146, 161, 213], "chen": [37, 111, 144, 146, 218], "namburi": 37, "elliott": [37, 56, 111, 304, 305], "heinzl": 37, "soon": [37, 71, 168, 169], "chee": 37, "w": [37, 44, 106, 111, 178, 180, 198, 201, 202, 204, 208, 218, 226, 246, 247], "hayn": [37, 111, 158], "2011": [37, 49, 58, 111, 114, 119, 127, 146, 147, 154, 158, 159, 189, 196, 198, 199, 202, 205, 211, 219, 221, 223, 236, 304, 305], "coars": 37, "mesh": [37, 69, 108, 127, 132, 135, 140, 144, 146, 162, 167, 230, 367, 373, 374, 375, 376, 380, 382, 399, 400, 401, 417], "pial_mesh": 37, "term": [37, 54, 66, 89, 92, 112, 143, 146, 152, 154, 160, 163, 166, 168, 171, 172, 218, 221, 246, 247, 250, 270, 304, 397], "adjac": [37, 135, 146], "nearbi": 37, "infl_mesh": 37, "infl_": 37, "nn": 37, "nearestneighbor": 37, "radius_neighbors_graph": 37, "tolil": 37, "make_pipelin": [37, 40, 44], "standardscal": [37, 39, 40, 41, 44], "linear_model": [37, 40, 41, 44, 249], "ridgeclassifi": 37, "search_light": [37, 245], "preced": [37, 161, 173, 263], "search": [37, 89, 161, 180, 241, 242, 243, 244, 301], "light": [37, 127, 133, 135, 146, 161, 278], "sulc_": 37, "761": [37, 45], "plot_haxby_searchlight_surfac": [37, 45], "overview": [38, 158, 160], "fetch_stimuli": [38, 210], "stimulus_inform": 38, "stim_typ": 38, "skip": [38, 49, 56, 374, 377], "file_nam": [38, 393], "suptitl": [38, 40, 42, 43, 44, 66, 79, 100, 101, 105], "img_path": [38, 302], "ravel": [38, 41, 43, 44, 102, 105, 106], "imread": 38, "plot_haxby_stimuli": [38, 45], "gain": [39, 66, 155, 160, 219], "fetch_mixed_gambl": [39, 143, 146], "zmap_filenam": 39, "zmap": [39, 101, 219], "behavioral_target": 39, "svr": [39, 42, 44, 135, 146, 154, 242, 244, 245], "_base": [39, 48], "convergencewarn": [39, 92, 104], "solver": [39, 111, 159, 241, 243, 246, 247], "termin": [39, 153, 168], "earli": [39, 111, 159, 221, 223, 281, 383, 397], "max_it": [39, 40, 43, 48, 50, 57, 179, 180, 182, 241, 242, 243, 244, 246, 247], "10000": [39, 42, 49, 55, 102, 105, 278, 322], "pre": [39, 64, 67, 94, 101, 127, 132, 144, 146, 163, 173, 254], "minmaxscal": 39, "0x7f123e252830": 39, "observ": [39, 44, 58, 61, 63, 66, 71, 79, 80, 81, 102, 154, 158, 162, 163, 166, 168, 173, 254, 383], "learnt": 39, "impos": [39, 120, 146], "guid": [39, 138, 146, 161, 165, 167, 173, 175, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400, 401, 404, 406, 407, 414], "unstructur": 39, "graph_net": 39, "heavi": [39, 42, 147, 161], "spacenetregressor": [39, 43, 159, 246], "regressor": [39, 43, 56, 62, 63, 66, 100, 101, 105, 108, 138, 139, 143, 146, 148, 154, 162, 218, 242, 244, 247, 259, 263, 265, 270, 278, 304, 305, 322], "tv_l1": 39, "ep": [39, 43, 246, 247], "prefer": [39, 51, 99, 150, 161, 171], "1762": [39, 45], "plot_mixed_gambles_frem": [39, 45], "partli": [40, 42, 160, 163, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 198, 199, 200, 202, 207, 210, 211, 212, 216, 218, 219, 220, 225, 231], "uchida": [40, 41, 111, 220], "h": [40, 41, 56, 65, 111, 192, 201, 208, 225, 226, 230, 250, 254, 304, 305], "yamashita": [40, 41, 111, 220], "sato": [40, 41, 111, 220], "morito": [40, 41, 111, 220], "tanab": [40, 41, 111, 220], "kamitani": [40, 41, 111, 220], "neuron": [40, 41, 58, 111, 158, 205, 220], "929": [40, 41, 111, 220], "sound": [40, 163], "real": [40, 153, 158, 160, 163, 171, 173], "world": [40, 171, 173, 324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 356, 359, 368], "stimulu": [40, 41, 65, 100, 163], "particip": [40, 56, 66, 111, 163, 166, 304, 305], "10x10": [40, 41], "binari": [40, 41, 66, 75, 144, 146, 166, 169, 173, 212, 241, 242, 243, 244, 246, 247, 371, 394], "pixel": [40, 41, 163, 263, 276, 324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 378, 381, 395], "fetch_miyawaki2008": [40, 41, 89], "fmri_random_runs_filenam": 40, "stimuli_random_runs_filenam": 40, "multiniftimask": [40, 41, 48, 49, 139, 141, 146, 241, 242, 243, 244, 246, 247, 248, 249, 276, 278, 322, 384], "clean": [40, 43, 48, 49, 53, 54, 56, 58, 70, 103, 111, 125, 131, 132, 135, 139, 140, 142, 146, 169, 172, 173, 178, 248, 249, 263, 281, 304, 305, 307, 308, 309, 310, 311, 312, 358, 384, 386], "fmri_data": [40, 94, 263, 276], "wiht": 40, "stimulus_shap": 40, "stimulus_run": 40, "reshap": [40, 41, 44, 50, 68, 77, 105, 128, 146, 151, 178], "loadtxt": [40, 41], "pylab": [40, 369], "wspace": [40, 44, 63], "stack": [40, 51, 58, 140, 146, 166, 185], "offset": [40, 51, 84, 138, 146, 172, 197, 198, 296], "begin": [40, 62, 66, 71, 138, 146, 166], "end": [40, 44, 49, 62, 86, 94, 102, 129, 139, 146, 158, 160, 161, 172, 232, 302, 303], "fmri_run": 40, "stimuli_run": 40, "2860": [40, 102], "5438": 40, "proce": [40, 55, 65, 113], "independ": [40, 48, 66, 97, 109, 110, 120, 146, 150, 152, 153, 158, 160, 163, 166, 173, 207, 241, 242, 243, 244, 248, 281, 288, 293, 304, 305, 307, 311, 322, 372, 377, 397], "hold": [40, 78, 160, 161, 169, 248, 249, 270, 322, 333, 384], "held": [40, 158, 161, 241, 242, 243, 244, 416], "10th": 40, "r2_score": [40, 247], "multioutput": [40, 247], "raw_valu": 40, "threshold_img": [40, 81, 88, 120, 142, 146, 279, 280], "cut_scor": 40, "bring": [40, 48, 155, 161, 321], "score_map_img": 40, "thresholded_score_map_img": 40, "mark": [40, 56, 100, 111, 218, 304, 305], "four": [40, 44, 66, 142, 146, 173], "coord_transform": [40, 129, 146], "def": [40, 41, 44, 47, 53, 64, 66, 68, 100, 107, 373], "index_to_xy_coord": 40, "newaxi": [40, 44, 80, 84], "xy_indices_of_special_voxel": 40, "marker": [40, 133, 135, 138, 140, 146, 324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 359, 368, 378, 379, 381, 386, 388, 417], "add_mark": [40, 55, 61, 70, 100, 124, 130, 133, 146, 324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 415], "magenta": [40, 70, 415], "lw": [40, 70], "construct": [40, 52, 54, 98, 149, 152, 158, 161, 162, 167, 168, 277], "gcf": 40, "set_size_inch": [40, 70], "closer": [40, 49, 160, 394], "presenc": [40, 66, 102, 386, 388], "lasso": [40, 57, 58, 147, 159, 160, 246, 247, 249], "lassolarscv": 40, "sparsiti": [40, 48, 111, 120, 146, 147, 151, 152, 154, 155, 159, 160, 166, 180, 182, 246, 247, 249, 386], "marked_pixel": 40, "gridspec": [40, 140, 146], "gs1": 40, "1780": [40, 42, 102], "1951": [40, 135, 146], "2131": [40, 135, 146], "rf": [40, 68], "named_step": [40, 44, 98], "zeros_lik": [40, 68, 84, 102], "vmax": [40, 44, 49, 50, 52, 53, 54, 55, 56, 57, 58, 76, 79, 80, 84, 90, 100, 102, 105, 107, 118, 135, 146, 151, 357, 358, 362, 364, 365, 367, 370, 371, 372, 373, 375, 376, 378, 379, 380, 382, 415], "ax_im": 40, "masked_less": [40, 106], "green": [40, 49, 89, 92, 111, 140, 146, 206, 250, 254], "add_patch": 40, "updat": [40, 93, 100, 122, 126, 127, 132, 135, 141, 142, 144, 146, 169, 178, 179, 180, 198, 221, 239, 241, 242, 243, 244, 245, 246, 247, 248, 249, 263, 276, 307, 308, 309, 310, 311, 312, 383, 384, 385, 386], "1935": [40, 111], "rdpu": 40, "0x7f123ca66bc0": 40, "rel": [40, 49, 65, 66, 91, 161, 163, 166, 169, 241, 242, 243, 244, 245, 246, 247, 263, 265, 270, 285, 378, 380, 382], "roughli": [40, 154, 161, 163], "relationship": [40, 42, 75, 158, 165, 167, 168, 218, 322], "plot_miyawaki_encod": [40, 45], "elabor": [41, 120, 146, 415], "articl": [41, 111, 155, 158, 159, 160, 186, 188, 189, 190, 192, 193, 196, 198, 199, 200, 206, 211, 216, 218, 219, 220, 221, 223, 225, 231, 236, 243, 244, 304, 305, 322, 358, 398], "sy": 41, "stderr": 41, "miyawaki_dataset": [41, 89], "x_random_filenam": 41, "x_figure_filenam": 41, "y_random_filenam": 41, "y_figure_filenam": 41, "y_shape": 41, "miyawaki2008": [41, 89], "data_figure_run01": [41, 89], "n_pixel": 41, "n_featur": [41, 47, 57, 160, 178, 179, 180, 182, 184, 241, 242, 243, 244, 246, 247, 248, 249, 250, 263, 276, 383, 385], "list_of_2d_arrai": 41, "squar": [41, 43, 49, 66, 100, 102, 105, 111, 148, 154, 159, 160, 162, 178, 247, 250, 253, 254, 255, 263, 276, 287, 303, 304, 310, 322, 383, 384, 385, 398], "y_row": 41, "y_col": 41, "height_tf": 41, "width_tf": 41, "yt_tall": 41, "dot": [41, 44, 55, 100, 103, 160, 253, 254, 255, 256, 324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350], "yt_larg": 41, "yt_big": 41, "r_": 41, "omp": 41, "orthogon": [41, 132, 146, 166, 263, 265, 270, 276, 281, 324, 333, 334, 335, 338, 352, 357, 359, 362, 364, 365, 368, 370, 371, 372, 395, 397], "pursuit": 41, "orthogonalmatchingpursuit": 41, "clf": [41, 129, 146], "n_clf": 41, "03d": [41, 100], "scl": 41, "n_nonzero_coef": 41, "002": 41, "003": 41, "004": [41, 111, 220], "005": [41, 111, 155, 243, 244], "006": [41, 111, 205], "007": [41, 111, 196, 219], "009": [41, 111, 358], "011": 41, "012": 41, "013": 41, "014": 41, "015": 41, "016": [41, 66], "017": 41, "018": [41, 111, 304, 305], "019": 41, "020": [41, 56, 111, 304, 305], "021": 41, "022": 41, "023": 41, "024": 41, "025": 41, "026": 41, "027": 41, "028": 41, "029": 41, "030": 41, "031": 41, "032": 41, "033": [41, 111, 211, 236], "034": 41, "035": 41, "036": 41, "037": [41, 111], "038": 41, "039": 41, "040": 41, "041": [41, 111, 158], "042": [41, 111, 304, 305, 398], "043": 41, "044": 41, "045": 41, "046": [41, 79, 82], "047": 41, "048": [41, 111, 304], "049": 41, "050": 41, "051": 41, "052": [41, 111, 216], "053": 41, "054": [41, 111, 158], "056": 41, "057": 41, "058": 41, "059": [41, 82], "060": [41, 76, 111, 258, 322], "061": [41, 111, 278, 322], "062": [41, 111, 159], "064": [41, 111, 304, 305], "065": 41, "066": 41, "067": 41, "068": 41, "069": 41, "070": 41, "071": 41, "072": 41, "073": [41, 56, 111, 154, 305], "074": 41, "075": 41, "076": 41, "077": [41, 78, 82], "078": 41, "079": 41, "080": [41, 111], "081": 41, "082": [41, 111, 190], "083": 41, "084": 41, "085": 41, "086": 41, "087": [41, 94, 96], "088": 41, "089": 41, "090": 41, "091": 41, "092": 41, "093": 41, "094": 41, "097": 41, "098": 41, "099": [41, 101, 109], "split_multi_scal": 41, "multi_scal": 41, "yw": 41, "yh": 41, "split_index": 41, "tall": 41, "y_pred_tal": 41, "1x2": 41, "applic": [41, 140, 146, 148, 154, 160, 167, 168, 263, 276, 308, 322, 389, 390, 395, 415, 416], "calculu": 41, "height_tf_i": 41, "flat": [41, 172], "y_pred_larg": 41, "2x1": 41, "width_tf_i": 41, "y_pred_big": 41, "2x2": [41, 133, 146, 333, 335, 338, 352, 357, 362, 365, 370, 371, 372, 415], "accuracy_scor": [41, 51], "precision_scor": 41, "recall_scor": 41, "f1_score": 41, "recal": [41, 241, 243], "zero_divis": 41, "f1": [41, 153, 241, 243], "801208": 41, "413969": 41, "572388": 41, "465973": 41, "six": 41, "ground": [41, 44, 57, 153], "truth": [41, 44, 57, 153], "sp1": 41, "sp2": 41, "sp3": 41, "binar": [41, 94, 141, 146, 280], "miyawaki2008_reconstruction_": 41, "816": [41, 45], "plot_miyawaki_reconstruct": [41, 45], "densiti": [42, 57, 75, 160, 165, 167, 211, 225], "agre": [42, 75, 225, 276, 278], "agreement": [42, 62, 75, 225], "spm8": [42, 75, 188, 225], "newseg": [42, 75], "limit": [42, 75, 88, 148, 158, 160, 161, 221, 305, 358], "ran": 42, "prepar": [42, 58, 94, 99, 101, 108, 113, 122, 146, 157, 170, 308, 309, 310, 312, 386, 417], "impact": [42, 66, 78, 142, 146, 158, 161, 169, 173, 263, 276, 305], "significantli": [42, 66, 132, 146, 158, 160], "noisi": [42, 92, 147], "detriment": [42, 305], "permut": [42, 77, 79, 102, 105, 111, 138, 146, 156, 158, 163, 278, 295, 322, 408], "exact": [42, 158, 161, 163, 211, 212, 415], "comparison": [42, 49, 51, 57, 62, 66, 81, 93, 99, 100, 102, 111, 114, 147, 150, 157, 158, 159, 164, 166, 189, 417], "clearer": [42, 161], "author": [42, 47, 55, 75, 77, 102, 103, 105, 106, 107, 111, 160, 161, 169], "dhomatob": [42, 75], "fr": [42, 49, 75, 102, 105, 106, 111, 159, 188, 196, 386], "apr": [42, 75, 111, 197], "2014": [42, 49, 75, 77, 100, 102, 105, 106, 111, 150, 151, 158, 159, 218, 304, 322, 386], "andr": [42, 111, 385], "2017": [42, 56, 111, 127, 128, 129, 146, 153, 155, 197, 198, 216, 243, 244, 304, 305, 358], "oasis_dataset": [42, 75], "fetch_oasis_vbm": [42, 43, 75], "gray_matter_map_filenam": [42, 75], "gray_matter_map": [42, 43, 75, 225], "ext_var": [42, 43, 75, 77, 79, 105, 225], "train_test_split": [42, 43], "gm_imgs_train": [42, 43], "gm_imgs_test": [42, 43], "age_train": [42, 43], "age_test": [42, 43], "train_siz": [42, 43], "white_matter_map": [42, 75, 225], "oasis1": [42, 43, 75], "oas1_0001_mr1": [42, 43, 75], "mwrc1oas1_0001_mr1_mpr_anon_fslswapdim_bet": [42, 43, 75], "mwrc2oas1_0001_mr1_mpr_anon_fslswapdim_bet": [42, 75], "cach": [42, 43, 49, 52, 56, 102, 105, 106, 119, 120, 146, 150, 179, 241, 242, 243, 244, 246, 247, 248, 249, 263, 276, 282, 308, 309, 310, 311, 312, 314, 315, 316, 317, 318, 319, 384, 385, 386, 401], "gm_maps_mask": 42, "variancethreshold": 42, "variance_threshold": 42, "gm_maps_threshold": 42, "get_support": 42, "decoderregressor": [42, 135, 138, 139, 146, 154, 241, 244], "benefit": [42, 49, 56, 66, 135, 146, 161, 172], "some_high_valu": [42, 43], "advantag": [42, 43, 69, 160, 173], "hyperparamet": 42, "neg_mean_absolute_error": [42, 242, 244], "trend": [42, 43, 89, 173], "etc": [42, 43, 80, 89, 92, 94, 114, 159, 162, 166, 171, 218, 241, 242, 243, 244, 246, 247, 255, 311], "perm": [42, 43], "age_pr": 42, "prediction_scor": 42, "670598": 42, "bg_filenam": 42, "absolut": [42, 43, 58, 135, 146, 158, 160, 161, 203, 213, 226, 285, 324, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 356, 357, 359, 364, 365, 367, 371, 372, 373, 376, 379, 380, 382, 415], "year": [42, 43, 111, 160, 169, 207, 225], "0x7f123f562d70": 42, "mass_univari": [42, 79, 102, 105, 138, 144, 146, 158], "permuted_ol": [42, 102, 105, 138, 143, 144, 146, 158, 278], "neg_log_pv": [42, 77, 79, 102], "t_scores_original_data": [42, 102], "intercept": [42, 75, 76, 77, 79, 80, 81, 102, 106, 158, 241, 242, 243, 244, 246, 247, 277, 278, 304, 305, 322], "n_perm": [42, 77, 79, 102, 105, 278, 322], "signed_neg_log_pv": [42, 102], "signed_neg_log_pvals_unmask": [42, 102], "rdbu_r": [42, 44, 102, 369], "log_": [42, 102, 105, 106], "parametr": [42, 65, 66, 77, 79, 102, 105, 106, 111, 158, 165, 166, 251, 252, 257, 281, 397], "n_detect": [42, 102, 105], "detect": [42, 68, 77, 79, 89, 100, 102, 106, 111, 158, 163, 166, 173, 178, 304, 305, 383, 415], "6903648376465": 42, "92371988296509": 42, "81745934486389": 42, "63790702819824": 42, "05921959877014": 42, "892457485198975": 42, "57278116544088": 42, "29782928739276": 42, "54079055786133": 42, "02361771795485": 42, "640390157699585": 42, "86022901535035": 42, "08495990435282": 42, "414736179205086": 42, "87040574210031": 42, "67495401700338": 42, "36758768558502": 42, "84353936419768": 42, "333367029825844": 42, "70146154102527": 42, "393630504608154": 42, "062733945392424": 42, "674839886752046": 42, "59208898958953": 42, "203848361968994": 42, "08831071853638": 42, "758111165120056": 42, "559863585012934": 42, "234683922358926": 42, "01180795965523": 42, "75966040293376": 42, "480333435919974": 42, "15466123819351": 42, "88130591132424": 42, "644349855535175": 42, "50134447642735": 42, "2186394267612": 42, "00911034120096": 42, "90295442781951": 42, "675994292283676": 42, "360483169555664": 42, "06946865523734": 42, "76233507338024": 42, "561658809351364": 42, "27925935658541": 42, "041622983084785": 42, "94360286256541": 42, "683974078361025": 42, "409536600112915": 42, "19376051669218": 42, "043330669403076": 42, "83263935762293": 42, "57415025050824": 42, "32059775658374": 42, "1321326273459": 42, "863313393159345": 42, "58660364151001": 42, "30495035020928": 42, "08947903534462": 42, "841233637373325": 42, "680421352386478": 42, "457777668218146": 42, "249532853403394": 42, "033833253951297": 42, "776130884885788": 42, "494387681667625": 42, "271168260863334": 42, "02029002246572": 42, "74654496417326": 42, "485044479370117": 42, "309259993689402": 42, "05898910173228": 42, "8218510945638": 42, "577386993251437": 42, "432685678069653": 42, "750": [42, 102], "1850536664327": 42, "760": [42, 102], "95766540577537": 42, "770": [42, 102], "777122841252908": 42, "780": [42, 102], "57596445083618": 42, "790": [42, 102], "31880316855032": 42, "074673414230347": 42, "810": [42, 48, 102], "861472936324134": 42, "820": [42, 102], "62327348895189": 42, "830": [42, 87, 96, 102, 109], "400587917810462": 42, "840": [42, 102], "17080815633138": 42, "850": [42, 102], "997185861363132": 42, "860": [42, 102], "759341034778327": 42, "870": [42, 102], "516520585136853": 42, "880": [42, 102], "28970432281494": 42, "890": [42, 102], "086817527085206": 42, "900": [42, 102, 135, 146, 198], "862114588419598": 42, "910": [42, 102], "70454438964089": 42, "920": [42, 102], "528569884922195": 42, "930": [42, 102], "279116697208856": 42, "940": [42, 62, 100, 101, 102, 108], "028007654433555": 42, "950": [42, 102], "800413947356375": 42, "960": [42, 55, 79, 102], "623072644074757": 42, "970": [42, 102], "37651825688549": 42, "980": [42, 102], "139922258805257": 42, "990": [42, 102], "903455134594076": 42, "1000": [42, 49, 77, 94, 102, 150, 163, 198, 383], "70204997062683": 42, "1010": [42, 102], "45153517062121": 42, "1020": [42, 102], "219428974039413": 42, "1030": [42, 102], "98744322952715": 42, "1040": [42, 102], "771191596984863": 42, "1050": [42, 102], "558678161530267": 42, "1060": [42, 102], "327226517335426": 42, "1070": [42, 102], "08718506198063": 42, "1080": [42, 102, 111, 322], "873273037098073": 42, "1090": [42, 48, 102], "651085352678912": 42, "1100": [42, 102], "44452725757252": 42, "1110": [42, 102], "20233993057732": 42, "1120": [42, 102], "996984226363047": 42, "1130": [42, 102], "766793890336974": 42, "1140": [42, 102], "541739969922787": 42, "1150": [42, 102], "31322211804597": 42, "1160": [42, 102], "09533950378155": 42, "1170": [42, 102], "89334207926041": 42, "1180": [42, 102], "66816964796034": 42, "1190": [42, 102], "437461853027344": 42, "1200": [42, 102], "220305601755776": 42, "1210": [42, 102], "986299510829706": 42, "1220": [42, 102], "740955454404236": 42, "1230": [42, 102], "52257632240047": 42, "1240": [42, 102], "293461930367254": 42, "1250": [42, 102], "100880193710328": 42, "1260": [42, 102], "871966070599026": 42, "1270": [42, 102], "63384880982046": 42, "1280": [42, 102], "420888602733612": 42, "1290": [42, 102], "210861573847687": 42, "1300": [42, 102], "970172570301935": 42, "1310": [42, 102], "731880087888877": 42, "1320": [42, 102], "50180011807066": 42, "1330": [42, 102], "2779960954996": 42, "1340": [42, 102, 111, 159], "038976697779413": 42, "1350": [42, 50, 102, 151, 386, 388], "814477929362544": 42, "1360": [42, 102], "588272431317497": 42, "1370": [42, 102, 130, 146], "372034281709768": 42, "1380": [42, 102], "140307326247726": 42, "1390": [42, 102], "905841345409694": 42, "1400": [42, 102], "6773578780038": 42, "1410": [42, 102], "444626657675343": 42, "1420": [42, 45, 102], "208496523575045": 42, "1430": [42, 102], "969015138132589": 42, "1440": [42, 102], "733308884832594": 42, "502000882707792": 42, "1460": [42, 102], "278314962779005": 42, "1470": [42, 102], "055532922550125": 42, "1480": [42, 102], "824843980170586": 42, "1490": [42, 102], "603966560939815": 42, "1500": [42, 88, 102], "375558137893677": 42, "1510": [42, 102], "144388880950725": 42, "1520": [42, 102], "913369781092593": 42, "1530": [42, 102], "689774349624036": 42, "1540": [42, 102], "470468412746083": 42, "1550": [42, 102], "242249011993408": 42, "1560": [42, 102], "016877547288551": 42, "1570": [42, 102], "794019255668495": 42, "1580": [42, 102], "573216522796244": 42, "1590": [42, 102], "347335743454268": 42, "1600": [42, 102, 263, 276, 395], "118663668632507": 42, "1610": [42, 102], "909075406767567": 42, "1620": [42, 102], "679526299606135": 42, "1630": [42, 102], "444068854571851": 42, "1640": [42, 102], "210521163010016": 42, "1650": [42, 102], "988349835077922": 42, "1660": [42, 102], "759875604905278": 42, "1670": [42, 102], "528964962074143": 42, "1680": [42, 47, 102], "298275811331612": 42, "1690": [42, 102], "071755414883766": 42, "1700": [42, 102], "8527646625743195": 42, "1710": [42, 102], "620249321586207": 42, "1720": [42, 102], "391256870225419": 42, "1730": [42, 102], "164849169681527": 42, "1740": [42, 102], "9341325376225615": 42, "1750": [42, 102], "703693423952375": 42, "1760": [42, 102], "472733757712624": 42, "1770": [42, 102], "248323507901639": 42, "017590284347534": 42, "1790": [42, 102], "786874063854111": 42, "1800": [42, 102], "557326873143514": 42, "1810": [42, 102], "327215056393028": 42, "1820": [42, 102], "1008260145292175": 42, "1830": [42, 102], "8719134382862865": 42, "1840": [42, 102], "6437513931937837": 42, "1850": [42, 102], "415536345662298": 42, "1860": [42, 102], "191597123299876": 42, "1870": [42, 102], "9626416433303753": 42, "1880": [42, 102], "734812574183687": 42, "1890": [42, 102], "5055925745181935": 42, "1900": [42, 102], "2767888997730457": 42, "1910": [42, 102], "0500583773508123": 42, "1920": [42, 102], "8214548528194427": 42, "1930": [42, 102], "5933790256322355": 42, "1940": [42, 102], "3664798490779917": 42, "1950": [42, 102], "138278631063608": 42, "1960": [42, 102], "9105199745723178": 42, "1970": [42, 102], "6826309516345184": 42, "1980": [42, 102], "455058449446553": 42, "1990": [42, 102], "22771355974015278": 42, "1941": [42, 45], "plot_oasis_vbm": [42, 45, 135, 146], "ag": [43, 46, 59, 78, 97, 109, 110, 111, 135, 146, 147, 154, 155, 159, 165, 166, 167, 178, 186, 196, 207, 211, 218, 225, 231, 236, 241, 242, 243, 244, 246, 247, 307, 310, 359, 369, 377], "concentr": [43, 161, 163, 166], "increas": [43, 44, 66, 70, 79, 89, 92, 103, 104, 129, 146, 157, 158, 160, 163, 166, 169, 172, 182, 278, 305, 316, 322, 357, 370, 371, 372, 379, 384, 396, 417], "ram": 43, "box": [43, 84, 98, 104, 128, 146, 154, 161, 168, 172, 296], "dataset_fil": 43, "gm_img": 43, "check_random_st": [43, 44], "rng": [43, 161], "intermedi": [43, 69, 156], "graph": [43, 47, 53, 57, 147, 149, 159, 160, 166, 167, 241, 242, 246, 247, 327, 328, 329, 330, 331, 332, 334, 337, 339, 341, 343, 345, 347, 349, 359, 368, 417], "beauti": 43, "tv": [43, 111, 159, 241, 242, 246, 247], "l1": [43, 111, 154, 155, 159, 179, 182, 241, 242, 243, 246, 247], "expens": 43, "longer": [43, 104, 118, 129, 133, 135, 138, 140, 142, 144, 146, 163], "runtim": [43, 144, 146, 161, 246, 247], "mse": [43, 246, 247, 255], "oas1_0003_mr1": 43, "mwrc1oas1_0003_mr1_mpr_anon_fslswapdim_bet": 43, "oas1_0086_mr1": 43, "mwrc1oas1_0086_mr1_mpr_anon_fslswapdim_bet": 43, "oas1_0052_mr1": 43, "mwrc1oas1_0052_mr1_mpr_anon_fslswapdim_bet": 43, "oas1_0211_mr1": 43, "mwrc1oas1_0211_mr1_mpr_anon_fslswapdim_bet": 43, "oas1_0216_mr1": 43, "mwrc1oas1_0216_mr1_mpr_anon_fslswapdim_bet": 43, "oas1_0096_mr1": 43, "mwrc1oas1_0096_mr1_mpr_anon_fslswapdim_bet": 43, "oas1_0182_mr1": 43, "mwrc1oas1_0182_mr1_mpr_anon_fslswapdim_bet": 43, "oas1_0041_mr1": 43, "mwrc1oas1_0041_mr1_mpr_anon_fslswapdim_bet": 43, "oas1_0214_mr1": 43, "mwrc1oas1_0214_mr1_mpr_anon_fslswapdim_bet": 43, "oas1_0069_mr1": 43, "mwrc1oas1_0069_mr1_mpr_anon_fslswapdim_bet": 43, "oas1_0025_mr1": 43, "mwrc1oas1_0025_mr1_mpr_anon_fslswapdim_bet": 43, "oas1_0159_mr1": 43, "mwrc1oas1_0159_mr1_mpr_anon_fslswapdim_bet": 43, "oas1_0113_mr1": 43, "mwrc1oas1_0113_mr1_mpr_anon_fslswapdim_bet": 43, "oas1_0038_mr1": 43, "mwrc1oas1_0038_mr1_mpr_anon_fslswapdim_bet": 43, "oas1_0013_mr1": 43, "mwrc1oas1_0013_mr1_mpr_anon_fslswapdim_bet": 43, "oas1_0220_mr1": 43, "mwrc1oas1_0220_mr1_mpr_anon_fslswapdim_bet": 43, "oas1_0180_mr1": 43, "mwrc1oas1_0180_mr1_mpr_anon_fslswapdim_bet": 43, "oas1_0007_mr1": 43, "mwrc1oas1_0007_mr1_mpr_anon_fslswapdim_bet": 43, "oas1_0031_mr1": 43, "mwrc1oas1_0031_mr1_mpr_anon_fslswapdim_bet": 43, "oas1_0135_mr1": 43, "mwrc1oas1_0135_mr1_mpr_anon_fslswapdim_bet": 43, "oas1_0005_mr1": 43, "mwrc1oas1_0005_mr1_mpr_anon_fslswapdim_bet": 43, "oas1_0037_mr1": 43, "mwrc1oas1_0037_mr1_mpr_anon_fslswapdim_bet": 43, "oas1_0160_mr1": 43, "mwrc1oas1_0160_mr1_mpr_anon_fslswapdim_bet": 43, "oas1_0163_mr1": 43, "mwrc1oas1_0163_mr1_mpr_anon_fslswapdim_bet": 43, "oas1_0123_mr1": 43, "mwrc1oas1_0123_mr1_mpr_anon_fslswapdim_bet": 43, "oas1_0162_mr1": 43, "mwrc1oas1_0162_mr1_mpr_anon_fslswapdim_bet": 43, "oas1_0012_mr1": 43, "mwrc1oas1_0012_mr1_mpr_anon_fslswapdim_bet": 43, "oas1_0070_mr1": 43, "mwrc1oas1_0070_mr1_mpr_anon_fslswapdim_bet": 43, "oas1_0126_mr1": 43, "mwrc1oas1_0126_mr1_mpr_anon_fslswapdim_bet": 43, "oas1_0164_mr1": 43, "mwrc1oas1_0164_mr1_mpr_anon_fslswapdim_bet": 43, "oas1_0188_mr1": 43, "mwrc1oas1_0188_mr1_mpr_anon_fslswapdim_bet": 43, "oas1_0226_mr1": 43, "mwrc1oas1_0226_mr1_mpr_anon_fslswapdim_bet": 43, "oas1_0173_mr1": 43, "mwrc1oas1_0173_mr1_mpr_anon_fslswapdim_bet": 43, "oas1_0078_mr1": 43, "mwrc1oas1_0078_mr1_mpr_anon_fslswapdim_bet": 43, "oas1_0138_mr1": 43, "mwrc1oas1_0138_mr1_mpr_anon_fslswapdim_bet": 43, "oas1_0072_mr1": 43, "mwrc1oas1_0072_mr1_mpr_anon_fslswapdim_bet": 43, "oas1_0050_mr1": 43, "mwrc1oas1_0050_mr1_mpr_anon_fslswapdim_bet": 43, "oas1_0184_mr1": 43, "mwrc1oas1_0184_mr1_mpr_anon_fslswapdim_bet": 43, "oas1_0032_mr1": 43, "mwrc1oas1_0032_mr1_mpr_anon_fslswapdim_bet": 43, "oas1_0045_mr1": 43, "mwrc1oas1_0045_mr1_mpr_anon_fslswapdim_bet": 43, "oas1_0121_mr1": 43, "mwrc1oas1_0121_mr1_mpr_anon_fslswapdim_bet": 43, "oas1_0176_mr1": 43, "mwrc1oas1_0176_mr1_mpr_anon_fslswapdim_bet": 43, "oas1_0177_mr1": 43, "mwrc1oas1_0177_mr1_mpr_anon_fslswapdim_bet": 43, "oas1_0029_mr1": 43, "mwrc1oas1_0029_mr1_mpr_anon_fslswapdim_bet": 43, "oas1_0026_mr1": 43, "mwrc1oas1_0026_mr1_mpr_anon_fslswapdim_bet": 43, "oas1_0208_mr1": 43, "mwrc1oas1_0208_mr1_mpr_anon_fslswapdim_bet": 43, "oas1_0165_mr1": 43, "mwrc1oas1_0165_mr1_mpr_anon_fslswapdim_bet": 43, "oas1_0091_mr1": 43, "mwrc1oas1_0091_mr1_mpr_anon_fslswapdim_bet": 43, "oas1_0044_mr1": 43, "mwrc1oas1_0044_mr1_mpr_anon_fslswapdim_bet": 43, "oas1_0190_mr1": 43, "mwrc1oas1_0190_mr1_mpr_anon_fslswapdim_bet": 43, "oas1_0053_mr1": 43, "mwrc1oas1_0053_mr1_mpr_anon_fslswapdim_bet": 43, "oas1_0106_mr1": 43, "mwrc1oas1_0106_mr1_mpr_anon_fslswapdim_bet": 43, "oas1_0174_mr1": 43, "mwrc1oas1_0174_mr1_mpr_anon_fslswapdim_bet": 43, "oas1_0049_mr1": 43, "mwrc1oas1_0049_mr1_mpr_anon_fslswapdim_bet": 43, "oas1_0155_mr1": 43, "mwrc1oas1_0155_mr1_mpr_anon_fslswapdim_bet": 43, "oas1_0004_mr1": 43, "mwrc1oas1_0004_mr1_mpr_anon_fslswapdim_bet": 43, "oas1_0117_mr1": 43, "mwrc1oas1_0117_mr1_mpr_anon_fslswapdim_bet": 43, "oas1_0060_mr1": 43, "mwrc1oas1_0060_mr1_mpr_anon_fslswapdim_bet": 43, "oas1_0148_mr1": 43, "mwrc1oas1_0148_mr1_mpr_anon_fslswapdim_bet": 43, "oas1_0204_mr1": 43, "mwrc1oas1_0204_mr1_mpr_anon_fslswapdim_bet": 43, "oas1_0202_mr1": 43, "mwrc1oas1_0202_mr1_mpr_anon_fslswapdim_bet": 43, "oas1_0209_mr1": 43, "mwrc1oas1_0209_mr1_mpr_anon_fslswapdim_bet": 43, "oas1_0055_mr1": 43, "mwrc1oas1_0055_mr1_mpr_anon_fslswapdim_bet": 43, "oas1_0090_mr1": 43, "mwrc1oas1_0090_mr1_mpr_anon_fslswapdim_bet": 43, "oas1_0039_mr1": 43, "mwrc1oas1_0039_mr1_mpr_anon_fslswapdim_bet": 43, "oas1_0009_mr1": 43, "mwrc1oas1_0009_mr1_mpr_anon_fslswapdim_bet": 43, "oas1_0124_mr1": 43, "mwrc1oas1_0124_mr1_mpr_anon_fslswapdim_bet": 43, "oas1_0103_mr1": 43, "mwrc1oas1_0103_mr1_mpr_anon_fslswapdim_bet": 43, "oas1_0094_mr1": 43, "mwrc1oas1_0094_mr1_mpr_anon_fslswapdim_bet": 43, "oas1_0200_mr1": 43, "mwrc1oas1_0200_mr1_mpr_anon_fslswapdim_bet": 43, "oas1_0205_mr1": 43, "mwrc1oas1_0205_mr1_mpr_anon_fslswapdim_bet": 43, "oas1_0101_mr1": 43, "mwrc1oas1_0101_mr1_mpr_anon_fslswapdim_bet": 43, "oas1_0010_mr1": 43, "mwrc1oas1_0010_mr1_mpr_anon_fslswapdim_bet": 43, "oas1_0015_mr1": 43, "mwrc1oas1_0015_mr1_mpr_anon_fslswapdim_bet": 43, "oas1_0067_mr1": 43, "mwrc1oas1_0067_mr1_mpr_anon_fslswapdim_bet": 43, "oas1_0193_mr1": 43, "mwrc1oas1_0193_mr1_mpr_anon_fslswapdim_bet": 43, "oas1_0146_mr1": 43, "mwrc1oas1_0146_mr1_mpr_anon_fslswapdim_bet": 43, "oas1_0019_mr1": 43, "mwrc1oas1_0019_mr1_mpr_anon_fslswapdim_bet": 43, "oas1_0080_mr1": 43, "mwrc1oas1_0080_mr1_mpr_anon_fslswapdim_bet": 43, "oas1_0199_mr1": 43, "mwrc1oas1_0199_mr1_mpr_anon_fslswapdim_bet": 43, "oas1_0150_mr1": 43, "mwrc1oas1_0150_mr1_mpr_anon_fslswapdim_bet": 43, "oas1_0189_mr1": 43, "mwrc1oas1_0189_mr1_mpr_anon_fslswapdim_bet": 43, "oas1_0207_mr1": 43, "mwrc1oas1_0207_mr1_mpr_anon_fslswapdim_bet": 43, "oas1_0071_mr1": 43, "mwrc1oas1_0071_mr1_mpr_anon_fslswapdim_bet": 43, "oas1_0061_mr1": 43, "mwrc1oas1_0061_mr1_mpr_anon_fslswapdim_bet": 43, "oas1_0120_mr1": 43, "mwrc1oas1_0120_mr1_mpr_anon_fslswapdim_bet": 43, "oas1_0056_mr1": 43, "mwrc1oas1_0056_mr1_mpr_anon_fslswapdim_bet": 43, "oas1_0223_mr1": 43, "mwrc1oas1_0223_mr1_mpr_anon_fslswapdim_bet": 43, "oas1_0065_mr1": 43, "mwrc1oas1_0065_mr1_mpr_anon_fslswapdim_bet": 43, "oas1_0054_mr1": 43, "mwrc1oas1_0054_mr1_mpr_anon_fslswapdim_bet": 43, "oas1_0099_mr1": 43, "mwrc1oas1_0099_mr1_mpr_anon_fslswapdim_bet": 43, "oas1_0023_mr1": 43, "mwrc1oas1_0023_mr1_mpr_anon_fslswapdim_bet": 43, "oas1_0064_mr1": 43, "mwrc1oas1_0064_mr1_mpr_anon_fslswapdim_bet": 43, "oas1_0181_mr1": 43, "mwrc1oas1_0181_mr1_mpr_anon_fslswapdim_bet": 43, "oas1_0217_mr1": 43, "mwrc1oas1_0217_mr1_mpr_anon_fslswapdim_bet": 43, "oas1_0144_mr1": 43, "mwrc1oas1_0144_mr1_mpr_anon_fslswapdim_bet": 43, "oas1_0042_mr1": 43, "mwrc1oas1_0042_mr1_mpr_anon_fslswapdim_bet": 43, "oas1_0178_mr1": 43, "mwrc1oas1_0178_mr1_mpr_anon_fslswapdim_bet": 43, "oas1_0218_mr1": 43, "mwrc1oas1_0218_mr1_mpr_anon_fslswapdim_bet": 43, "oas1_0002_mr1": 43, "mwrc1oas1_0002_mr1_mpr_anon_fslswapdim_bet": 43, "oas1_0059_mr1": 43, "mwrc1oas1_0059_mr1_mpr_anon_fslswapdim_bet": 43, "oas1_0167_mr1": 43, "mwrc1oas1_0167_mr1_mpr_anon_fslswapdim_bet": 43, "oas1_0145_mr1": 43, "mwrc1oas1_0145_mr1_mpr_anon_fslswapdim_bet": 43, "oas1_0169_mr1": 43, "mwrc1oas1_0169_mr1_mpr_anon_fslswapdim_bet": 43, "oas1_0115_mr1": 43, "mwrc1oas1_0115_mr1_mpr_anon_fslswapdim_bet": 43, "oas1_0111_mr1": 43, "mwrc1oas1_0111_mr1_mpr_anon_fslswapdim_bet": 43, "oas1_0131_mr1": 43, "mwrc1oas1_0131_mr1_mpr_anon_fslswapdim_bet": 43, "oas1_0098_mr1": 43, "mwrc1oas1_0098_mr1_mpr_anon_fslswapdim_bet": 43, "oas1_0082_mr1": 43, "mwrc1oas1_0082_mr1_mpr_anon_fslswapdim_bet": 43, "oas1_0136_mr1": 43, "mwrc1oas1_0136_mr1_mpr_anon_fslswapdim_bet": 43, "oas1_0227_mr1": 43, "mwrc1oas1_0227_mr1_mpr_anon_fslswapdim_bet": 43, "oas1_0022_mr1": 43, "mwrc1oas1_0022_mr1_mpr_anon_fslswapdim_bet": 43, "oas1_0212_mr1": 43, "mwrc1oas1_0212_mr1_mpr_anon_fslswapdim_bet": 43, "oas1_0079_mr1": 43, "mwrc1oas1_0079_mr1_mpr_anon_fslswapdim_bet": 43, "oas1_0119_mr1": 43, "mwrc1oas1_0119_mr1_mpr_anon_fslswapdim_bet": 43, "oas1_0016_mr1": 43, "mwrc1oas1_0016_mr1_mpr_anon_fslswapdim_bet": 43, "oas1_0104_mr1": 43, "mwrc1oas1_0104_mr1_mpr_anon_fslswapdim_bet": 43, "oas1_0203_mr1": 43, "mwrc1oas1_0203_mr1_mpr_anon_fslswapdim_bet": 43, "oas1_0114_mr1": 43, "mwrc1oas1_0114_mr1_mpr_anon_fslswapdim_bet": 43, "transform_single_img": [43, 48, 49, 53, 54, 56, 58, 307, 308, 309, 310, 311, 312, 386], "space_net": 43, "841": 43, "path_scor": 43, "_graph_net_squared_loss": 43, "0x7f1274db7d90": 43, "tol": [43, 179, 180, 182, 246, 247], "0001": [43, 246, 247], "n_alpha": [43, 180, 246, 247], "is_classif": 43, "debia": [43, 246, 247], "2652228933482088": 43, "persist": [43, 47, 48, 92], "happen": [43, 47, 48, 92, 158, 173, 401], "caus": [43, 47, 48, 49, 84, 92, 120, 146, 299], "wrap": [43, 47, 48, 92, 153, 393], "kindli": [43, 47, 48, 92, 169], "team": [43, 47, 48, 92, 142, 146, 169, 196, 416], "_____________________________________________________path_scor": 43, "7min": 43, "8min": 43, "6min": 43, "ax1": [43, 63, 366], "set_ylabel": [43, 70, 75, 78], "ax2": [43, 63, 366], "set_xlabel": [43, 70], "2487": [43, 45], "plot_oasis_vbm_space_net": [43, 45], "sketch": 44, "mathbf": 44, "opposit": [44, 71, 158], "corner": [44, 125, 146, 161, 298], "middl": [44, 66, 91, 111, 132, 140, 146, 225, 302], "licenc": [44, 188, 189, 191, 198, 202], "bsd": [44, 103, 107], "__doc__": [44, 71, 72], "linalg": [44, 160, 168], "ndimag": [44, 94, 168, 172, 212, 234, 237, 290, 314, 315, 316, 318], "gaussian_filt": [44, 168], "f_regress": [44, 102, 105, 106], "create_simulation_data": 44, "snr": [44, 166, 281, 397], "roi_siz": 44, "smooth_x": 44, "xx": 44, "randn": [44, 63], "xi": [44, 111, 198], "norm_nois": 44, "norm": [44, 55, 62, 76, 79, 101, 107, 108, 184, 241, 242, 243, 244, 246, 247, 248, 249, 263, 383, 384, 385, 386], "exp": 44, "noise_coef": 44, "log": [44, 49, 53, 77, 79, 94, 122, 146, 158, 160, 250, 253, 254, 255, 256, 292, 366], "db": [44, 111, 255, 256], "plot_slic": 44, "hspace": [44, 49, 57], "bool": [44, 94, 103, 178, 179, 180, 182, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 198, 199, 200, 202, 204, 205, 206, 207, 210, 211, 212, 214, 215, 216, 218, 219, 220, 221, 223, 225, 231, 241, 242, 243, 244, 245, 246, 247, 248, 249, 258, 260, 263, 276, 278, 279, 281, 285, 287, 291, 294, 296, 297, 300, 301, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 354, 357, 358, 359, 360, 361, 362, 364, 365, 367, 368, 369, 370, 371, 372, 373, 375, 376, 378, 379, 380, 382, 383, 384, 385, 386, 387, 394, 395, 396, 397, 398], "uint8": [44, 56, 91, 144, 146, 294], "recov": [44, 58, 128, 146, 147], "elast": 44, "bayesian": [44, 163], "metaprior": 44, "ridgecv": [44, 242, 244], "elasticnetcv": 44, "bayesian_ridg": 44, "bayesianridg": 44, "enet_cv": 44, "l1_ratio": [44, 246, 247], "ridge_cv": 44, "r2": [44, 139, 146, 242, 244, 255], "expos": [44, 49, 114, 124, 128, 129, 146, 161, 171, 221, 222, 223, 224], "fairli": [44, 154, 163], "attribut": [44, 48, 49, 50, 84, 89, 113, 114, 130, 139, 140, 142, 143, 144, 146, 147, 150, 151, 152, 158, 161, 171, 173, 178, 179, 180, 187, 191, 193, 196, 207, 210, 214, 215, 216, 218, 219, 220, 221, 222, 223, 224, 225, 228, 229, 230, 231, 241, 242, 243, 244, 246, 247, 248, 249, 253, 254, 255, 256, 263, 283, 291, 304, 305, 308, 309, 310, 311, 312, 324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 373, 375, 376, 383, 384, 385, 386, 400, 401], "t1": [44, 75, 141, 146, 188, 211, 233, 235, 236, 238, 357, 415], "els": [44, 47, 68, 70, 94, 100, 219, 241, 242, 243, 244, 246, 247, 374], "del": 44, "elapsed_tim": 44, "__class__": [44, 48, 49], "__name__": [44, 48, 49], "isnan": [44, 77, 94, 102, 105, 106], "recurs": [44, 49, 98, 111, 135, 146, 150, 156, 166, 167, 384, 385], "elimin": [44, 98, 156, 159, 370, 371], "rfe": [44, 98, 156], "tip": [44, 168], "988": [44, 45], "plot_simulated_data": [44, 45], "878": 45, "auto_examples_02_decod": 45, "1116": 45, "3143": 45, "turn": [47, 66, 84, 148, 150, 160, 173, 263, 276, 314, 315, 316, 318, 370, 371, 372, 379, 395], "find_parcellation_cut_coord": [47, 58, 132, 142, 146, 148, 355, 359], "find_probabilistic_atlas_cut_coord": [47, 50, 53, 132, 146, 148, 151, 354, 359], "intermediari": 47, "niftilabelsmask": [47, 49, 54, 56, 83, 94, 96, 110, 132, 133, 135, 138, 139, 140, 142, 144, 146, 148, 170, 194, 207, 307, 310, 389, 391, 393, 417], "niftimapsmask": [47, 51, 52, 53, 54, 91, 99, 117, 132, 139, 142, 146, 148, 170, 309, 386, 390, 392, 417], "connectivitymeasur": [47, 50, 51, 54, 56, 58, 99, 120, 122, 125, 128, 138, 146, 147, 148, 151], "amadeu": [47, 125, 146], "kanaan": [47, 125, 146], "fetch_atlas_yeo_2011": [47, 86, 148], "liber": [47, 79], "thick_17": [47, 202], "yeo_2011": 47, "yeo_jneurophysiol11_mni152": 47, "yeo2011_17networks_mni152_freesurferconformed1mm_liberalmask": 47, "fetch_development_fmri": [47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 58, 85, 89, 91, 92, 95, 99, 104, 135, 146, 147, 148, 150, 151, 168, 173], "counfound": 47, "development_fmri": [47, 48, 49, 52, 53, 54, 55, 56, 58, 85, 91, 92, 95, 104], "pixar123_task": [47, 48, 49, 52, 53, 54, 55, 56, 58, 85, 91, 92, 95, 104], "pixar_spac": [47, 48, 49, 52, 53, 54, 55, 56, 58, 85, 91, 92, 95, 104], "mni152nlin2009casym_desc": [47, 48, 49, 52, 53, 54, 55, 56, 58, 85, 91, 92, 95, 104], "preproc_bold": [47, 48, 49, 52, 53, 54, 55, 56, 58, 85, 91, 92, 95, 100, 101, 104, 108], "pixar_desc": [47, 53, 54, 55, 56, 58], "reducedconfounds_regressor": [47, 53, 54, 55, 56, 58], "conenctivitymeasur": 47, "connectome_measur": [47, 50, 151], "labels_img": [47, 49, 56, 91, 94, 148, 309, 354, 387, 389, 391], "time_seri": [47, 51, 52, 54, 56, 58, 147, 148], "mean_correlation_matrix": [47, 51], "mean_": [47, 51, 147, 178], "strength": [47, 135, 138, 146, 298, 327, 328, 329, 330, 331, 332, 334, 337, 339, 341, 343, 345, 347, 349, 359, 415], "0x7f123c5ac910": 47, "latter": [47, 154, 160, 168, 178, 179, 180, 194, 195, 241, 242, 243, 244, 245, 246, 247, 248, 249, 263, 276, 307, 308, 309, 310, 311, 312, 364, 372, 376, 383, 384, 385, 386], "lag_correl": 47, "lag_cor": 47, "corrcoef": 47, "lag_correlation_matrix": 47, "adjacency_matrix": [47, 327, 328, 329, 330, 331, 332, 334, 337, 339, 341, 343, 345, 347, 349, 359, 378], "maps_img": [47, 52, 53, 54, 148, 173, 309, 310, 355, 370, 386, 388, 390, 392], "cache_mixin": [47, 49, 52, 54], "current": [47, 48, 49, 50, 52, 54, 64, 68, 86, 144, 146, 158, 160, 161, 166, 169, 173, 182, 225, 226, 251, 301, 303, 307, 308, 309, 310, 311, 312, 373, 375, 376, 379, 386], "nifti_maps_mask": [47, 53, 54], "plot_atlas_comparison": [47, 59], "fmr": 48, "exhibit": [48, 163, 173], "fluctuat": [48, 66, 160, 163, 166], "decomposit": [48, 50, 92, 97, 103, 109, 110, 111, 120, 127, 130, 138, 144, 146, 151, 152, 167, 207, 287, 288, 293, 307, 308, 311, 372, 377, 386, 398], "simultan": [48, 160, 182], "priori": 48, "children": [48, 99, 135, 146, 167, 207], "young": [48, 111, 167, 190, 218, 225], "adult": [48, 51, 99, 111, 135, 146, 167, 207, 225], "watch": [48, 49, 50, 52, 54, 55, 85, 89, 92, 104, 135, 146, 149, 167, 168, 173, 207, 417], "movi": [48, 49, 50, 52, 54, 55, 85, 89, 92, 104, 135, 146, 149, 167, 168, 173, 207, 417], "algorithm": [48, 49, 89, 92, 94, 102, 104, 105, 113, 147, 150, 151, 152, 155, 156, 158, 166, 168, 173, 174, 176, 179, 182, 225, 248, 249, 287, 317, 319, 383, 386, 388, 398], "preprint": 48, "rest_dataset": [48, 50, 53, 151], "faster": [48, 49, 104, 129, 146, 159, 160, 161, 221, 249, 296, 297, 364, 365, 371, 372, 379, 401], "n_compon": [48, 50, 92, 103, 104, 151, 248, 249], "mask_strategi": [48, 89, 92, 104, 135, 141, 146, 173, 241, 242, 243, 244, 248, 249, 308, 311, 384], "compon": [48, 50, 54, 66, 92, 94, 97, 109, 110, 111, 120, 127, 128, 130, 138, 146, 148, 149, 150, 151, 163, 166, 171, 172, 178, 179, 180, 189, 199, 207, 218, 241, 242, 243, 244, 245, 246, 247, 248, 249, 253, 255, 256, 263, 276, 288, 290, 293, 304, 305, 307, 308, 309, 310, 311, 312, 314, 315, 316, 317, 318, 319, 320, 356, 372, 377, 383, 384, 385, 386, 387, 388, 398, 417], "components_img_": [48, 50, 130, 146, 151, 152, 248, 249], "canica_components_img": 48, "components_img": [48, 50, 151], "canica_resting_st": 48, "pixar124_task": 48, "pixar125_task": 48, "pixar126_task": 48, "pixar127_task": 48, "pixar128_task": 48, "pixar001_task": [48, 53, 85], "pixar002_task": [48, 53], "pixar003_task": [48, 53], "pixar004_task": 48, "pixar005_task": 48, "pixar006_task": 48, "pixar007_task": 48, "pixar008_task": 48, "pixar009_task": 48, "pixar010_task": 48, "pixar011_task": 48, "pixar012_task": 48, "pixar013_task": 48, "pixar014_task": 48, "pixar015_task": 48, "pixar016_task": 48, "pixar017_task": 48, "pixar018_task": 48, "pixar019_task": 48, "pixar020_task": 48, "pixar021_task": 48, "pixar022_task": 48, "pixar023_task": 48, "pixar024_task": 48, "self": [48, 49, 94, 161, 178, 179, 180, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 253, 254, 255, 256, 263, 276, 307, 308, 309, 310, 311, 312, 383, 384, 385, 386], "functool": 48, "compute_multi_brain_mask": [48, 141, 146, 308], "0x7f1275364550": 48, "mask_typ": [48, 315, 318], "extmath": 48, "randomized_svd": 48, "003659": 48, "013254": 48, "012477": 48, "002881": 48, "transpos": [48, 138, 146, 160], "n_iter": [48, 49, 50, 212, 234, 237, 384, 385], "___________________________________________________randomized_svd": 48, "_fastica": [48, 50, 92, 103, 104], "fastica": [48, 92, 103, 104, 248], "004071": 48, "000497": 48, "005856": 48, "004765": 48, "whiten": [48, 50, 92, 103, 104, 250, 254, 255, 256], "fun": 48, "cube": [48, 173, 394], "209652396": 48, "behaviour": [48, 50, 111, 120, 132, 139, 144, 146, 159, 173, 218], "deprec": [48, 50, 122, 126, 127, 128, 129, 130, 132, 135, 137, 138, 140, 142, 144, 146, 169, 227, 241, 242, 243, 244, 248, 249, 307, 308, 309, 310, 311, 312, 322, 384, 386], "valueerror": [48, 50, 291, 295, 309, 310, 401], "__________________________________________________________fastica": 48, "398764591": 48, "924231285": 48, "1478610112": 48, "441365315": 48, "1min": [48, 53, 54], "1537364731": 48, "192771779": 48, "1491434855": 48, "1819583497": 48, "530702035": 48, "0x7f1238e87700": 48, "cur_img": [48, 87], "ic": [48, 103], "natur": [48, 111, 114, 166, 207, 218, 221, 223], "cleaner": [48, 66, 132, 146], "arthur": [48, 111, 119, 120, 122, 125, 146, 152, 193, 249], "mensch": [48, 111, 119, 120, 122, 125, 146, 152, 193, 249], "compress": [48, 132, 146, 149, 152, 171, 249, 417], "onlin": [48, 152, 161, 168, 249, 416], "isbi": [48, 152, 248, 249], "2016": [48, 100, 111, 122, 123, 124, 125, 126, 146, 152, 208, 226, 249, 358], "lectur": [48, 111, 152, 168, 178], "dictlearn": [48, 50, 120, 130, 146, 151, 152], "dict_learn": [48, 50, 151], "n_epoch": [48, 249], "dicitonari": 48, "umask": 48, "dictlearning_components_img": 48, "dictionary_learning_resting_st": 48, "001315": 48, "004387": 48, "011243": 48, "004194": 48, "00289": 48, "002135": 48, "005107": 48, "012507": 48, "_compute_load": 48, "006971": 48, "00035": 48, "001073": 48, "014516": 48, "624512": 48, "338654": 48, "779528": 48, "745343": 48, "_________________________________________________compute_load": 48, "_dict_learn": [48, 50], "dict_learning_onlin": 48, "batch_siz": [48, 249, 383], "cd": [48, 168, 169, 249], "dict_init": [48, 249], "09987": 48, "223282": 48, "010094": 48, "327508": 48, "return_cod": 48, "_____________________________________________dict_learning_onlin": 48, "0x7f1238e86440": 48, "comp": [48, 189], "per_compon": [48, 138, 146, 248, 249, 384], "ticker": [48, 49], "formatstrformatt": 48, "gca": [48, 51, 99], "xaxi": [48, 49], "set_major_formatt": [48, 49], "_explained_vari": 48, "245714e": 48, "338591e": 48, "323485e": 48, "154503e": 48, "______________________________________________explained_vari": 48, "plot_compare_decomposit": [48, 59, 135, 146], "constrain": [49, 50, 111, 150, 167, 191, 196, 384], "agglomer": [49, 111, 166, 167, 243, 244, 383, 384, 385], "regim": 49, "subsequ": [49, 84, 173, 221, 223, 225, 304, 305], "empir": [49, 150, 157, 158, 159, 160, 179, 182, 305, 417], "baptist": [49, 111, 179, 216, 221, 223], "polin": [49, 64, 67, 111, 114, 179, 216, 221, 223, 281, 397], "good": [49, 56, 65, 66, 113, 127, 146, 147, 150, 152, 154, 155, 156, 157, 159, 160, 161, 162, 169, 171, 173, 221, 243, 244, 353, 417], "supervis": [49, 154, 156, 157, 166, 168], "evelyn": [49, 111, 159], "eger": [49, 111, 159], "christin": [49, 111, 231], "keribin": 49, "elsevi": 49, "pictur": [49, 113, 150, 158, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400, 401], "discuss": [49, 56, 132, 146, 150, 153, 156, 158, 163, 165, 169, 172, 305, 322, 416], "long": [49, 114, 161, 163, 304, 305, 358], "agglom": [49, 135, 146, 150, 384], "_estimator_fit": 49, "002728": 49, "002821": 49, "001877": 49, "003343": 49, "agglomerativeclust": [49, 384], "24256x24256": 49, "162682": 49, "n_cluster": [49, 383, 385], "_agglom": 49, "ward_tre": 49, "return_dist": 49, "________________________________________________________ward_tre": 49, "____________________________________________________estimator_fit": 49, "labels_img_": [49, 150, 309, 384], "ward_labels_img": 49, "ward_parcel": 49, "first_plot": 49, "effect": [49, 53, 60, 61, 64, 66, 69, 70, 71, 73, 75, 79, 80, 89, 95, 100, 102, 110, 111, 131, 146, 152, 154, 158, 160, 162, 163, 173, 178, 194, 195, 209, 222, 241, 242, 243, 244, 245, 251, 252, 253, 255, 256, 257, 259, 260, 263, 266, 276, 278, 293, 305, 322, 357, 370, 371, 372, 377, 379], "approxim": [49, 64, 71, 111, 150, 255, 256, 385], "mask_img_": [49, 66, 77, 79, 89, 92, 113, 173, 241, 242, 243, 244, 246, 247, 248, 249, 308, 309, 311], "original_voxel": 49, "mean_func_img": [49, 92], "min": [49, 53, 55, 58, 102, 103, 140, 141, 146, 296, 297, 357, 358, 362, 364, 365, 368, 370, 371, 373, 379, 380, 382], "opportun": 49, "fmri_reduc": 49, "fmri_compress": 49, "60000": 49, "base_mask": [49, 53, 54, 56, 58, 92], "_filter_and_extract": [49, 52, 53, 54, 56, 58], "0x7f123ed789a0": 49, "nifti_labels_mask": [49, 56, 91], "_extractionfunctor": [49, 53, 54, 56, 58], "0x7f1245d4c910": 49, "background_label": [49, 56, 91, 173, 309, 354, 389, 391], "0x7f123ed7baf0": 49, "0x7f123ed798d0": 49, "_______________________________________________filter_and_extract": [49, 53, 54, 56, 58], "0x7f124f5820b0": 49, "But": [49, 80, 98, 151, 160, 163, 168, 173], "10mm": 49, "ON": 49, "000824": 49, "005611": 49, "003217": 49, "002548": 49, "minibatchkmean": [49, 383, 384], "kmeans_labels_img": 49, "kmeans_parcel": 49, "grow": [49, 147], "unbalanc": 49, "singleton": [49, 307, 308, 309, 310, 311, 312, 386], "tailor": [49, 69, 150], "enforc": [49, 89, 144, 146, 147, 160, 161, 246, 247, 263], "root": [49, 160, 178, 194, 195, 254, 304, 383, 384, 385], "piec": [49, 171], "adapt": [49, 65, 113, 151, 154, 161, 263, 272, 304], "hierarchical_kmean": [49, 142, 146, 384], "hkmean": 49, "hierarchicalkmean": [49, 142, 146], "2min": [49, 56], "x27": [49, 62, 89, 91], "parcellationsparcel": 49, "hkmeans_labels_img": 49, "hierarchical_kmeans_parcel": 49, "count": [49, 221, 223, 253], "kmeans_label": 49, "kmeans_count": 49, "return_count": 49, "hkmeans_count": 49, "voxel_ratio": 49, "round": [49, 373, 376], "3000": [49, 102], "nrow": [49, 63, 79, 100, 101], "sharex": 49, "gridspec_kw": [49, 80, 100], "height_ratio": 49, "semilogx": 49, "hist": [49, 70, 366], "set_ylim": 49, "scalarformatt": 49, "yaxi": 49, "set_label_coord": 49, "ec": 49, "0x7f123ed7a6e0": 49, "thousand": [49, 173, 384], "properti": [49, 71, 156, 160, 163, 166, 173, 263, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350], "notabl": [49, 148], "constraint": [49, 150, 160, 301], "kahn": [49, 111, 385], "ieee": [49, 111, 159, 248, 249, 385], "transact": [49, 111, 159], "intellig": [49, 84], "pp": [49, 249], "march": [49, 117, 130, 139, 146, 245], "2019": [49, 51, 77, 99, 111, 133, 134, 135, 146, 206, 385], "hal": [49, 111, 159, 386], "archiv": [49, 225], "ouvert": 49, "01366651": 49, "0x7f123b3ee920": 49, "rena_clust": 49, "recursive_neighbor_agglomer": 49, "_________________________________recursive_neighbor_agglomer": 49, "0x7f1247dfc400": 49, "0x7f1247dfff70": 49, "0x7f1247dfee90": 49, "0x7f1247dfeb30": 49, "rena_labels_img": 49, "rena_parcel": 49, "0x7f124f580820": 49, "fmri_reduced_rena": 49, "compressed_img_rena": 49, "0x7f123edfa9b0": 49, "0x7f123b46f7c0": 49, "0x7f123edfabc0": 49, "0x7f123edfac20": 49, "0x7f123ee3dcf0": 49, "notic": [49, 58, 66, 101, 108, 301], "accur": [49, 58, 66, 69, 135, 143, 146, 158, 162, 163], "said": [49, 163], "959": [49, 59], "2080": [49, 59, 102], "plot_data_driven_parcel": [49, 59], "regionextractor": [50, 87, 120, 122, 128, 133, 146, 151, 387, 388], "decompos": [50, 147, 151, 163, 386], "inspir": [50, 159, 161, 169], "idea": [50, 88, 94, 153, 160, 163], "canica": [50, 130, 141, 146, 149, 166, 249, 308, 417], "instanti": [50, 51, 91, 142, 146, 245, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350], "0x7f123e711ed0": 50, "nomin": 50, "nonzero": [50, 298, 386], "surviv": [50, 139, 146, 251, 386], "extractor": [50, 87, 151, 386, 388], "thresholding_strategi": [50, 87, 151, 386], "ratio_n_voxel": [50, 151, 386], "local_region": [50, 151, 386, 388], "min_region_s": [50, 87, 88, 151, 386, 388], "regions_img_": [50, 87, 151, 386], "regions_extracted_img": [50, 151, 388], "index_": [50, 87, 151, 386], "regions_index": [50, 151], "n_regions_extract": [50, 151], "neach": [50, 151], "0x7f123e33d7e0": 50, "those": [50, 62, 66, 69, 71, 80, 89, 108, 142, 146, 152, 154, 156, 160, 161, 163, 169, 221, 303, 358, 380, 386, 391, 392, 401], "timeseries_each_subject": [50, 151], "mean_correl": [50, 151], "regions_img": [50, 87, 151], "coords_connectom": [50, 151], "0x7f1240518760": 50, "find_xyz_cut_coord": [50, 87, 122, 129, 146, 151], "side": [50, 53, 63, 66, 94, 102, 139, 146, 158, 221, 251, 314, 317, 324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 358, 366, 367, 394, 395], "nice": [50, 151], "regions_indices_of_map3": [50, 151], "rgbcmyk": [50, 151], "each_index_of_map3": [50, 151], "add_overlai": [50, 118, 146, 151, 324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 415], "alpha_cmap": [50, 151], "1257": [50, 59], "plot_extract_regions_dictlearning_map": [50, 59], "tangent": [51, 99, 128, 146, 151, 178], "embed": [51, 99, 393], "outperform": [51, 99, 147, 152], "dadi": [51, 99, 111, 193], "care": [51, 99, 113, 153, 154, 156, 160, 168, 197, 198, 250], "development_dataset": [51, 99], "msdl_data": [51, 99], "msdl_coord": [51, 99], "region_coord": [51, 52, 54, 99, 124, 146, 196], "n_region": [51, 91], "aud": 51, "striat": 51, "occ": 51, "att": 51, "basal": 51, "vi": 51, "sec": [51, 207], "salienc": [51, 206], "languag": [51, 64, 67, 100, 101, 108, 114, 168, 203, 213, 216], "cereb": [51, 71], "dor": 51, "cing": 51, "Ins": 51, "ant": 51, "ip": 51, "filter": [51, 55, 56, 58, 66, 68, 94, 103, 112, 113, 118, 132, 135, 140, 142, 144, 146, 153, 166, 170, 172, 186, 221, 223, 225, 240, 241, 242, 243, 244, 246, 247, 248, 249, 263, 266, 281, 298, 300, 301, 304, 308, 384, 386, 396, 397, 417], "band": [51, 58, 144, 146, 186, 304, 396], "resampling_target": [51, 53, 54, 91, 94, 99, 173, 309, 310], "phenotyp": [51, 62, 99, 143, 146, 153, 157, 170, 186, 187, 207, 231, 417], "pooled_subject": 51, "child": [51, 207], "func_fil": 51, "confound_fil": 51, "child_adult": [51, 99], "simpler": 51, "commonli": [51, 150, 162, 166, 169, 173, 305], "margin": [51, 296], "pairwis": [51, 147], "correlation_measur": [51, 54, 56], "individu": [51, 58, 62, 66, 69, 72, 76, 78, 79, 80, 81, 94, 100, 101, 108, 111, 147, 152, 165, 166, 168, 170, 173, 178, 179, 204, 216, 278, 320, 374, 417], "2d": [51, 54, 84, 91, 92, 98, 103, 112, 144, 146, 153, 156, 170, 173, 179, 180, 181, 182, 183, 248, 249, 250, 259, 283, 303, 307, 308, 309, 310, 311, 312, 313, 323, 325, 326, 327, 328, 329, 330, 331, 332, 337, 339, 341, 343, 345, 347, 349, 364, 383, 384, 385, 386, 391, 392, 399, 401, 407, 417], "reflect": [51, 101, 147, 161, 163, 190, 370, 371], "visibl": [51, 79, 141, 146, 152, 296, 373, 375, 376, 415], "0x7f123adf74f0": 51, "reveal": [51, 101, 102, 158], "partial_correlation_measur": 51, "partial_correlation_matric": 51, "weaker": [51, 66], "0x7f126b1bb820": 51, "tangent_measur": 51, "deviat": [51, 147, 241, 242, 243, 244, 246, 247], "tangent_matric": 51, "perturb": 51, "anticorrel": [51, 111, 305], "distinguish": [51, 94, 98, 99, 154, 158, 163, 167, 171], "stratifiedshufflesplit": [51, 99], "preserv": [51, 58, 99, 286, 298, 367, 383, 384, 385], "linearsvc": [51, 98, 99, 158, 241, 243], "return_invers": 51, "test_siz": [51, 99], "1d": [51, 102, 105, 106, 113, 144, 146, 171, 173, 178, 245, 253, 255, 256, 259, 265, 281, 303, 307, 308, 309, 310, 311, 312, 333, 340, 344, 350, 353, 386, 387, 391, 396, 397, 399, 401], "mean_scor": [51, 99], "scores_std": [51, 99], "align": [51, 56, 91, 99, 297, 299, 364], "xerr": [51, 99], "set_axisbelow": [51, 99], "axvlin": 51, "linestyl": 51, "showcas": [51, 60, 74, 76, 99, 110, 150, 155, 161], "larger": [51, 75, 80, 86, 99, 152, 154, 158, 160, 161, 163, 246, 247, 357, 370, 371, 372, 379], "cohort": [51, 99], "clinic": [51, 99, 154, 168], "1314": [51, 59], "plot_group_level_connect": [51, 59, 128, 135, 146], "link": [52, 111, 114, 125, 132, 137, 146, 149, 153, 156, 161, 163, 166, 169, 188, 193, 218, 231, 324, 334, 335, 359, 417], "negat": [52, 83, 96, 110, 224, 292, 372, 377], "dens": [52, 54, 147, 160, 316], "highest": [52, 54, 241, 242, 243, 244, 266, 287, 398], "msdl_atla": [52, 53, 54], "msdl_roi": [52, 53, 54, 196], "resample_img": [52, 54, 71, 84, 89, 93, 129, 135, 144, 146, 172, 173, 221, 248, 249, 263, 276, 295, 297, 308, 311, 314, 316, 317, 319, 384], "________________________________________resample_img": 52, "__________________________________filter_and_extract": [52, 56], "graphicallassocv": [52, 53, 57, 58, 147, 160, 180], "scitkit": [52, 53, 57, 58], "v0": [52, 53, 57, 58, 132, 135, 140, 142, 146, 169, 198], "graphlassocv": [52, 53, 57, 58], "graphicallassocvgraphicallassocv": [52, 53, 58], "covariance_": [52, 53, 58, 147], "axesimag": [52, 54, 56], "0x7f12412bba90": 52, "0x7f123ca038e0": 52, "precision_": [52, 53, 57, 147], "0x7f124045b130": 52, "plot_inverse_covariance_connectom": [52, 59], "plot_matric": 53, "cov": [53, 253, 255, 256, 416], "prec": [53, 160], "put": [53, 54, 64, 67, 71, 98, 118, 146, 161, 241, 242, 243, 244, 248, 249, 263, 308, 309, 310, 311, 312, 324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 384, 386, 397], "diagon": [53, 54, 56, 58, 86, 125, 146, 160, 172, 178, 182, 184, 185, 295, 296, 353, 369, 387], "clariti": 53, "span": [53, 71, 163, 357, 370, 371, 372, 379], "msdl_atlas_dataset": 53, "recomput": [53, 66, 98, 158, 260], "mem": 53, "subject_time_seri": 53, "confound_filenam": [53, 55], "region_t": 53, "__________________________________________high_variance_confound": 53, "0x7f123d5e78e0": 53, "allow_overlap": [53, 54, 58, 310, 312], "174325": 53, "048779": 53, "044073": 53, "155444": 53, "0x7f123ca03df0": 53, "151677": 53, "057023": 53, "206928": 53, "102714": 53, "127944": 53, "087084": 53, "015679": 53, "02587": 53, "089762": 53, "062316": 53, "065223": 53, "022868": 53, "groupsparsecovariancecv": [53, 57, 147, 160], "gsc": [53, 57], "gl": [53, 57], "likelihood": [53, 160, 178, 250, 253, 254, 255, 256], "decreas": [53, 66, 95, 160, 161, 357, 370, 371, 372, 379], "stop": [53, 97, 109, 110, 111, 114, 159, 179, 182, 221, 223, 286, 291, 292, 294, 364, 372, 377, 383], "iter": [53, 69, 71, 92, 104, 135, 146, 153, 158, 179, 180, 182, 241, 242, 243, 244, 246, 247, 248, 249, 282, 286, 289, 290, 293, 298, 353, 384, 385], "refin": [53, 57, 58, 180], "optim": [53, 57, 100, 111, 135, 139, 146, 154, 156, 159, 160, 180, 182, 193], "toler": [53, 92, 104, 160, 179, 180, 182, 246, 247, 285], "reach": [53, 160, 161, 163, 221, 304], "789e": 53, "graphical_lasso": 53, "68e": 53, "dual": [53, 111, 160, 179, 241, 243], "gap": [53, 179, 182], "123e": 53, "664e": 53, "158e": 53, "389e": 53, "530e": 53, "318e": 53, "844e": 53, "atlas_region_coord": [53, 148], "graphicallasso": [53, 147], "edge_vmax": [53, 327, 328, 329, 330, 331, 332, 334, 337, 339, 341, 343, 345, 347, 349, 359], "edge_vmin": [53, 327, 328, 329, 330, 331, 332, 334, 337, 339, 341, 343, 345, 347, 349, 359], "groupsparsecovari": [53, 147, 160, 180], "precisions_": [53, 57, 147, 179, 180], "covariances_": [53, 147, 179, 180], "plot_multi_subject_connectom": [53, 59], "0x7f124178b8b0": 54, "_____________________________________________________resample_img": 54, "0x7f124178b5e0": 54, "generate_report": [54, 89, 91, 92, 142, 146, 173, 263, 276, 308, 309, 310, 311, 386], "displayed_map": [54, 310, 386], "contrarili": [54, 91, 309, 310], "summar": [54, 91, 153, 161, 255, 309, 310, 312, 394], "pca": [54, 248, 310], "miss": [54, 77, 84, 141, 146, 161, 166, 270, 310, 316, 319], "correlation_matrix": [54, 56, 415], "major": [54, 94, 161, 168], "fill_diagon": [54, 56], "0x7f123f910ac0": 54, "1286": [54, 59], "plot_probabilistic_atlas_extract": [54, 59], "depict": [55, 161, 172], "advanc": [55, 109, 111, 153, 155, 156, 161, 162, 168, 172, 210, 241, 243, 244, 288, 307, 311, 358, 372, 417], "lie": [55, 179, 182], "franz": [55, 133, 135, 137, 146], "liem": [55, 133, 135, 137, 146], "1st": 55, "hard": [55, 148, 160, 166, 171], "drive": 55, "wide": [55, 71, 111, 153, 154, 156, 160, 161, 168, 208, 226, 245], "pcc_coord": [55, 61, 162], "niftispheresmask": [55, 58, 61, 70, 100, 119, 120, 122, 133, 137, 139, 146, 162, 170, 417], "bandpass": 55, "seed_mask": [55, 61, 100, 162], "seed_time_seri": [55, 61, 162], "brain_mask": [55, 100], "brain_time_seri": 55, "n_volum": 55, "32504": 55, "exemplarili": 55, "divid": [55, 76, 77, 79, 125, 146, 154, 163, 166, 184, 384], "seed_to_voxel_correl": 55, "extrem": [55, 118, 146, 394], "seed_to_voxel_correlations_img": 55, "marker_coord": [55, 61, 100, 133, 135, 146, 324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 381], "At": [55, 63, 65, 69, 77, 80, 91, 151, 169, 276, 278], "pcc_seed_correl": 55, "seed_to_voxel_correlations_fisher_z": 55, "arctanh": 55, "768": 55, "941": 55, "eventu": [55, 415], "seed_to_voxel_correlations_fisher_z_img": 55, "pcc_seed_correlation_z": 55, "814": [55, 59], "plot_seed_to_voxel_correl": [55, 59, 133, 146], "movement": [56, 168, 173], "load_confound": [56, 66, 142, 146, 148, 173, 305], "flexibli": 56, "guidelin": [56, 94, 141, 144, 146, 153, 169], "en": [56, 163, 188, 305], "craddock": [56, 111, 144, 146, 147, 148, 191, 196, 231], "2013": [56, 111, 135, 146, 147, 148, 158, 159, 186, 190, 196, 304], "reorder": [56, 130, 146, 295, 353, 369], "reduce_confound": [56, 207], "reduced_confound": 56, "preselect": 56, "metadata": [56, 91, 114, 135, 146, 172, 221, 222, 223, 224, 303], "nifti1head": [56, 91], "endian": [56, 91, 128, 146, 290, 296], "sizeof_hdr": [56, 91], "data_typ": [56, 91], "db_name": [56, 91], "extent": [56, 91, 95, 166, 335, 338], "session_error": [56, 91], "dim_info": [56, 91], "intent_p1": [56, 91], "intent_p2": [56, 91], "intent_p3": [56, 91], "intent_cod": [56, 91], "datatyp": [56, 91], "bitpix": [56, 91], "slice_start": [56, 91], "pixdim": [56, 91], "vox_offset": [56, 91], "scl_slope": [56, 91], "scl_inter": [56, 91], "slice_end": [56, 91], "slice_cod": [56, 91], "xyzt_unit": [56, 91], "cal_max": [56, 91], "cal_min": [56, 91], "slice_dur": [56, 91], "toffset": [56, 91], "glmax": [56, 91], "glmin": [56, 91], "descrip": [56, 91], "aux_fil": [56, 91], "qform_cod": [56, 91], "sform_cod": [56, 91], "quatern_b": [56, 91], "quatern_c": [56, 91], "quatern_d": [56, 91], "qoffset_x": [56, 91], "qoffset_i": [56, 91], "qoffset_z": [56, 91], "srow_x": [56, 91], "srow_i": [56, 91], "srow_z": [56, 91], "intent_nam": [56, 91], "magic": [56, 91, 357, 364, 365, 367, 371, 372], "0x7f124f52b4f0": 56, "0x7f124f52b040": 56, "0x7f124f56b490": 56, "cover": [56, 161, 173, 204, 206, 353], "firstli": 56, "did": [56, 92, 104, 126, 142, 146, 163], "bad": [56, 105, 160], "0x7f123d2afc40": 56, "0x7f123d9ec400": 56, "ensur": [56, 58, 100, 132, 139, 146, 158, 160, 161, 163, 226, 251, 276, 278, 323, 325, 326], "steadi": [56, 66, 140, 146, 263, 304, 305, 307, 308, 309, 310, 311, 312, 386, 397], "correctli": [56, 66, 93, 133, 135, 136, 144, 146, 156, 163, 168, 169, 263, 304, 305], "confounds_simpl": 56, "wm_csf": [56, 304, 305], "cosine00": 56, "cosine01": 56, "cosine02": 56, "cosine03": 56, "rot_x": 56, "rot_i": 56, "rot_z": 56, "trans_x": 56, "trans_i": 56, "trans_z": 56, "white_matt": 56, "0x7f123d2afa30": 56, "109104": 56, "109090": 56, "109066": 56, "109033": 56, "675004": 56, "000201": 56, "006621": 56, "026078": 56, "055006": 56, "876886": 56, "108937": 56, "108723": 56, "108423": 56, "902773": 56, "000135": 56, "000668": 56, "027587": 56, "049458": 56, "418909": 56, "108990": 56, "108632": 56, "108038": 56, "107207": 56, "629915": 56, "000076": 56, "006628": 56, "019085": 56, "075787": 56, "540842": 56, "108875": 56, "108176": 56, "107012": 56, "105391": 56, "601793": 56, "000041": 56, "009347": 56, "023900": 56, "053022": 56, "922085": 56, "107567": 56, "105651": 56, "102986": 56, "258970": 56, "000042": 56, "006629": 56, "033396": 56, "077764": 56, "843388": 56, "445759": 56, "000276": 56, "010477": 56, "064873": 56, "022169": 56, "221217": 56, "244003": 56, "000007": 56, "012250": 56, "064266": 56, "042248": 56, "237783": 56, "390256": 56, "000091": 56, "004304": 56, "053241": 56, "029500": 56, "590905": 56, "485434": 56, "000046": 56, "008227": 56, "081559": 56, "034236": 56, "122246": 56, "402734": 56, "000075": 56, "020041": 56, "069287": 56, "007294": 56, "000828": 56, "0x7f123e1bb490": 56, "exceed": [56, 129, 146], "framewis": [56, 207, 304], "displac": [56, 207, 304], "standardis": 56, "dvar": [56, 304], "five": [56, 66, 384], "percentag": [56, 153, 241, 242, 243, 244, 263], "volumn": [56, 304], "suitabl": [56, 69, 132, 146, 154, 158, 173, 219, 305], "confounds_scrub": 56, "fd_threshold": [56, 304, 305], "std_dvars_threshold": [56, 304, 305], "0x7f123e33cf70": 56, "097319": 56, "110228": 56, "100980": 56, "127209": 56, "568192": 56, "000279": 56, "005385": 56, "024472": 56, "048861": 56, "796008": 56, "097281": 56, "110075": 56, "100637": 56, "126600": 56, "795961": 56, "000213": 56, "000568": 56, "025982": 56, "043313": 56, "338031": 56, "097205": 56, "109770": 56, "099952": 56, "125384": 56, "523103": 56, "000154": 56, "005391": 56, "017480": 56, "069643": 56, "459963": 56, "097090": 56, "109313": 56, "098926": 56, "123568": 56, "494981": 56, "000119": 56, "008110": 56, "022294": 56, "046877": 56, "841207": 56, "096938": 56, "108705": 56, "097565": 56, "121163": 56, "152159": 56, "000120": 56, "005392": 56, "031791": 56, "071620": 56, "762509": 56, "120508": 56, "113737": 56, "552570": 56, "000354": 56, "011713": 56, "066478": 56, "028314": 56, "302095": 56, "120661": 56, "115099": 56, "350815": 56, "000071": 56, "013487": 56, "062660": 56, "048393": 56, "318661": 56, "120775": 56, "116124": 56, "497067": 56, "000169": 56, "005541": 56, "054846": 56, "035645": 56, "671784": 56, "120851": 56, "116809": 56, "592246": 56, "000124": 56, "009463": 56, "079953": 56, "040381": 56, "203124": 56, "120889": 56, "117152": 56, "509546": 56, "000153": 56, "021277": 56, "070892": 56, "013439": 56, "081706": 56, "0x7f123d0ba020": 56, "grand": [56, 263], "physiolog": [56, 66, 70, 305], "artifact": [56, 111, 173, 281, 304, 305, 397], "minim": [56, 62, 161, 166, 263, 265, 270, 324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 370], "degre": [56, 68, 100, 107, 163, 251, 254, 305], "freedom": [56, 100, 107, 148, 163, 251, 254, 305], "downsid": [56, 66], "insight": [56, 141, 146, 147], "confounds_minimal_no_gsr": 56, "global_sign": [56, 304, 305], "gsr": 56, "0x7f123ee10d90": 56, "0x7f1240318730": 56, "load_confounds_strategi": [56, 142, 146, 148, 173, 304], "benchmark": [56, 111, 159, 304, 305], "compcor": [56, 66, 111, 142, 146, 148, 207, 287, 304, 305, 398], "ica_aroma": [56, 142, 146, 304, 305], "denoise_strategi": [56, 305], "rastko": [56, 111, 304, 305], "ciric": [56, 111, 304, 305], "daniel": [56, 111, 132, 135, 141, 144, 146, 218, 221, 223, 225, 231, 304, 305], "wolf": [56, 58, 111, 160, 304, 305], "jonathan": [56, 58, 111, 159, 198, 202, 204, 205, 258, 304, 305, 358], "david": [56, 111, 114, 144, 146, 192, 199, 218, 221, 223, 231, 304, 305, 322], "roalf": [56, 111, 304, 305], "graham": [56, 111, 304, 305], "baum": [56, 111, 304, 305], "kosha": [56, 111, 304, 305], "ruparel": [56, 111, 304, 305], "russel": [56, 100, 111, 114, 219, 221, 223, 231, 255, 256, 304, 305], "shinohara": [56, 111, 304, 305], "simon": [56, 111, 132, 137, 146, 198, 199, 304, 305], "eickhoff": [56, 111, 198, 199, 304, 305], "christo": [56, 111, 304, 305], "davatziko": [56, 111, 304, 305], "ruben": [56, 111, 304, 305], "gur": [56, 111, 304, 305], "raquel": [56, 111, 304, 305], "bassett": [56, 111, 304, 305], "theodor": [56, 111, 304, 305], "satterthwait": [56, 111, 304, 305], "linden": [56, 111, 305], "park": [56, 111, 305], "fulcher": [56, 111, 305], "murat": [56, 111, 305], "y\u00fccel": [56, 111, 305], "alex": [56, 111, 129, 132, 146, 158, 211, 305], "fornito": [56, 111, 305], "evalu": [56, 111, 156, 160, 166, 201, 241, 242, 243, 244, 250, 254, 305, 394, 395], "efficaci": [56, 111, 305], "reliabl": [56, 111, 132, 146, 163, 216, 305], "2018": [56, 75, 76, 77, 111, 130, 131, 132, 146, 155, 197, 198, 207, 243, 244, 258, 281, 305, 385, 397], "plot_signal_extract": [56, 59, 173], "group_sparse_cov": 57, "instabl": [57, 66, 160, 396], "data_gen": [57, 144, 146, 160], "generate_group_sparse_gaussian_graph": [57, 160], "n_displai": 57, "topologi": [57, 160], "min_n_sampl": 57, "max_n_sampl": 57, "max_precis": 57, "alpha_": [57, 180], "plot_simulated_connectom": [57, 59], "spheric": 58, "nardo": [58, 111, 204], "1358": [58, 111, 204], "1361": [58, 111, 204], "dmn_coord": [58, 173, 415], "temporopariet": 58, "junction": 58, "prefront": 58, "sequenc": [58, 61, 64, 66, 69, 79, 153, 162, 166, 171, 216, 241, 242, 243, 244, 253, 255, 256, 263, 276, 327, 328, 329, 330, 331, 332, 334, 337, 339, 341, 343, 345, 347, 349, 359, 378, 395, 396, 401], "confounds_filenam": 58, "nifti_spheres_mask": 58, "0x7f125de47400": 58, "Its": [58, 147, 155, 160, 168, 245, 256, 263, 276, 279, 322, 324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 395], "ledoit": [58, 160], "connectivity_measur": 58, "partial_correlation_matrix": 58, "0x7f123c23fe20": 58, "suppli": [58, 245, 246, 247, 270, 304, 327, 328, 329, 330, 331, 332, 334, 337, 339, 341, 343, 345, 347, 349, 359, 397], "mass": [58, 79, 144, 146, 278, 322, 354, 394], "fetch_coords_power_2011": 58, "dict_kei": 58, "collect": [58, 100, 103, 107, 111, 112, 161, 166, 221, 222, 223, 224, 304, 417], "spheres_mask": 58, "exce": [58, 180], "graphic": [58, 111, 147, 160, 161, 168, 174, 179, 182], "covariance_estim": 58, "_method": 58, "subtract": [58, 66, 101, 168, 222], "tweak": [58, 89, 151], "strongest": 58, "node_s": [58, 133, 135, 142, 146, 327, 328, 329, 330, 331, 332, 334, 337, 339, 341, 343, 345, 347, 349, 359, 368, 378], "0x7f123e7e70d0": 58, "sometim": [58, 66, 80, 114, 118, 146, 153, 161, 166, 250, 254], "overwhelm": 58, "plot_mark": [58, 138, 142, 144, 146, 415], "node_strength": 58, "0x7f124f51e170": 58, "clip": [58, 84, 296, 297], "positive_edg": 58, "negative_edg": 58, "node_strength_posit": 58, "node_strength_neg": 58, "node_cmap": [58, 368], "ylorrd": 58, "pubu": 58, "0x7f123f01aa40": 58, "fetch_coords_dosenbach_2010": [58, 123, 126, 146], "0x7f126af53b20": 58, "cerebellum": [58, 111, 204, 206, 218], "cingulo": 58, "opercular": [58, 91], "fronto": [58, 101], "occipit": [58, 91], "sensorimotor": 58, "plot_sphere_based_connectom": [58, 59, 135, 146], "auto_examples_03_connect": 59, "1679": 59, "focus": [60, 74, 98, 110, 113, 124, 130, 146, 154, 157, 158, 161], "neurospin": [60, 65, 73, 110, 363], "adhd": [60, 73, 85, 110, 135, 144, 146, 147, 162, 187, 263, 270, 307, 312, 335, 372, 393, 395], "finit": [60, 73, 77, 79, 103, 110, 128, 146, 162, 166, 217, 263, 265, 270, 281, 298, 313, 316, 357, 360, 361, 371, 372, 397], "impul": [60, 73, 110, 217, 263, 360, 361, 372], "fir": [60, 63, 73, 110, 162, 166, 217, 263, 265, 270, 360, 361, 372], "residu": [60, 62, 73, 110, 142, 146, 158, 164, 228, 247, 250, 251, 254, 255, 256, 263, 276, 281, 282, 293, 298, 307, 312, 316, 350, 372, 394, 417], "openneuro": [60, 73, 110, 162, 207, 208, 226, 227, 240, 263, 266, 303, 306, 311, 360, 364, 366, 393, 394, 395], "understand": [60, 73, 83, 96, 110, 126, 146, 154, 156, 161, 168, 170, 207, 212, 214, 215, 217, 220, 263, 287, 288, 293, 297, 304, 307, 311, 316, 360, 361, 362, 371, 372, 377, 393, 417], "workflow": [61, 161, 305], "make_first_level_design_matrix": [61, 63, 69, 71, 108, 142, 146, 162], "frametim": 61, "add_reg": [61, 63, 108, 162, 270], "add_reg_nam": [61, 63, 270], "pcc_seed": 61, "dmn_contrast": 61, "seed_based_glm": 61, "setup": [61, 69, 108, 143, 146, 161, 165, 168, 169, 186, 187, 188, 189, 190, 191, 192, 196, 199, 200, 202, 210, 211, 214, 215, 216, 219, 220, 225, 231, 386, 416], "first_level_model": [61, 65, 66], "run_img": [61, 101, 108, 263], "design_matric": [61, 62, 64, 67, 71, 100, 162, 263], "snapshot": 61, "dmn_z_map": 61, "portabl": [61, 75, 173], "pertin": [61, 75], "min_dist": [61, 263, 276, 394, 395], "plot_typ": [61, 263, 276, 395], "plot_adhd_dmn": [61, 73], "exploit": [62, 152, 160], "io": [62, 101, 140, 146, 151, 186, 193, 197, 207, 216, 248, 249, 364, 380, 384, 416], "s3": 62, "bucket": 62, "assur": 62, "nistat": [62, 121, 138, 146, 167], "against": [62, 153, 162, 166, 221, 278, 322, 369], "stopsign": 62, "ds000030": [62, 208], "v4": 62, "emploi": [62, 166, 394, 395], "fetch_ds000030_url": [62, 144, 146, 226], "fetch_openneuro_dataset": 62, "select_from_index": 62, "exclusion_pattern": 62, "mriqc": 62, "parameter_plot": 62, "physio_plot": 62, "t1w": 62, "dwi": 62, "beh": 62, "bart": 62, "scap": 62, "exclusion_filt": [62, 240], "data_dir": [62, 100, 101, 108, 141, 146, 171, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232], "subject_id": [62, 101, 108, 228, 229], "moreov": [62, 101, 108, 144, 146, 161, 301], "task_label": [62, 101, 108, 266], "space_label": [62, 266], "folder": [62, 86, 94, 101, 108, 142, 146, 161, 169, 171, 194, 195, 232, 266, 291, 301], "fmriprep": [62, 66, 142, 144, 146, 148, 152, 163, 166, 173, 207, 211, 212, 236, 266], "app": [62, 111, 218, 225, 266], "first_level_from_bid": [62, 100, 101, 108, 363], "mni152nlin2009casym": 62, "derivatives_fold": [62, 266], "models_run_img": [62, 100, 101, 108, 266], "models_ev": [62, 101, 108, 266], "models_confound": [62, 100, 101, 108, 266], "slicetimingref": [62, 100, 101, 108], "ds000030_r1": [62, 226, 227], "uncompress": [62, 127, 131, 146], "10159": 62, "10159_task": 62, "stopsignal_bold": 62, "json": [62, 100, 101, 108, 114, 266, 301, 303, 304, 305], "assum": [62, 64, 66, 71, 78, 100, 101, 108, 158, 163, 169, 185, 226, 227, 253, 254, 255, 256, 263, 276, 278, 281, 296, 299, 321, 360, 369, 396, 397], "minimize_memori": [62, 64, 67, 70, 162, 263, 266, 276], "overrid": [62, 100, 139, 146, 186, 187, 188, 189, 190, 191, 192, 196, 199, 200, 202, 210, 211, 214, 215, 216, 219, 220, 225, 231, 384], "interfac": [62, 138, 142, 146, 152, 160, 161, 166, 168, 241, 242], "get_design_from_fslmat": [62, 142, 146], "fsl_design_matrix_path": [62, 306], "feat": 62, "mat": [62, 306, 369], "column_nam": [62, 306], "stopsuccess": 62, "definit": [62, 94, 148, 156, 157, 160, 162, 166, 170, 193, 303, 309, 312, 360, 389, 390, 391, 392, 417], "design_column": [62, 261], "cond_": 62, "02d": [62, 78, 80], "firstlevelmodelfirstlevelmodel": 62, "nib": 62, "fsl_z_map": 62, "zstat12": 62, "isf": [62, 76, 79, 101, 107, 108], "unc": [62, 79, 80, 101], "plot_img_comparison": 62, "masker_": [62, 66, 77, 79, 241, 242, 243, 244, 246, 247, 248, 249, 384], "ref_label": [62, 366], "src_label": [62, 366], "latex": 62, "purpos": [62, 64, 67, 69, 71, 79, 101, 108, 113, 160, 165, 173, 207, 263, 276, 324, 395, 414, 415], "to_latex": 62, "04_glm_first_level": 62, "plot_bids_featur": [62, 73], "utilis": 62, "styler": 62, "signatur": [62, 133, 146, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400, 401], "therefor": [62, 142, 146, 152, 158, 160, 188, 190], "style": [62, 120, 142, 146, 240], "tabular": 62, "llrrrrl": 62, "toprul": 62, "midrul": 62, "307532": 62, "6300": [62, 102], "668929": 62, "534376": 62, "254210": 62, "918703": 62, "2520": [62, 102], "715845": 62, "2b": 62, "683343": 62, "2c": 62, "587956": 62, "692869": 62, "664250": 62, "461193": 62, "257986": 62, "078390": 62, "815609": 62, "5c": 62, "798387": 62, "208105": 62, "348351": 62, "190472": 62, "385929": 62, "163956": 62, "079389": 62, "056165": 62, "792": 62, "10a": 62, "726486": 62, "10b": 62, "710553": 62, "043724": 62, "950054": 62, "937283": 62, "906274": 62, "756": [62, 96, 100, 111], "14a": 62, "882906": 62, "776293": 62, "bottomrul": 62, "save_glm_to_bid": [62, 144, 146], "contrast_typ": [62, 69, 108, 251, 259, 303], "out_dir": [62, 303], "nilearn_glm": 62, "prefix": [62, 303], "_task": [62, 266], "stopsuccessminusgo": 62, "r_squar": [62, 70, 142, 146, 255, 263, 276], "glob": [62, 120, 130, 146, 170, 282, 301, 417], "dataset_descript": [62, 303], "stopsignal_contrast": 62, "stopsuccessminusgo_design": 62, "stopsuccessminusgo_stat": 62, "effect_statmap": [62, 303], "p_statmap": 62, "t_statmap": 62, "variance_statmap": [62, 303], "z_statmap": 62, "stopsignal_design": 62, "stopsignal_stat": 62, "errorts_statmap": [62, 303], "rsquare_statmap": [62, 303], "stopsignal_statmap": 62, "runtimeerror": [63, 78], "librari": [63, 78, 94, 113, 132, 146, 156, 161, 168, 172, 405, 415], "compris": [63, 66, 86, 387, 394], "trial": [63, 66, 72, 111, 153, 162, 166, 219], "c0": 63, "c1": 63, "c3": 63, "motion": [63, 66, 70, 101, 111, 140, 146, 162, 207, 263, 304, 305, 307, 308, 309, 310, 311, 312, 386, 397], "jointli": [63, 161, 293], "cumsum": 63, "translat": [63, 135, 146, 172, 263, 276, 279, 304, 395], "rigid": 63, "bodi": [63, 393], "tx": 63, "ty": 63, "tz": 63, "rx": 63, "ry": 63, "rz": 63, "varieti": [63, 100, 152, 153, 154, 155, 156, 161, 166, 168], "x1": [63, 94, 401], "polynomi": [63, 66, 162, 263, 270], "x2": [63, 94], "x3": 63, "ax3": 63, "set_titl": [63, 70, 75, 78, 79, 80, 91, 100, 105], "1753015208063937": 63, "layout": [63, 132, 146, 169, 245, 324], "fiac": [64, 209], "dehaen": [64, 67, 111, 216], "lambertz": [64, 67], "anton": [64, 67], "jl": [64, 67], "campagn": [64, 67], "ciuciu": [64, 67], "denghien": [64, 67], "jobert": [64, 67, 111, 216], "lebihan": [64, 67], "sigman": [64, 67], "pallier": [64, 67], "jb": [64, 67], "segreg": [64, 67], "sentenc": [64, 65, 66, 67, 69, 72, 81, 101, 216], "hum": [64, 67], "mapp": [64, 67], "2006": [64, 67, 111, 158, 168, 245, 255, 256], "www": [64, 67, 71, 111, 114, 155, 158, 159, 186, 187, 188, 189, 190, 191, 193, 196, 199, 200, 206, 210, 211, 212, 216, 218, 219, 220, 221, 223, 225, 228, 229, 231, 236, 243, 244, 281, 304, 305, 322, 358, 397, 398], "pubmedcentr": [64, 67, 111, 304, 305], "nih": [64, 67, 111, 154, 304, 305], "gov": [64, 67, 111, 154, 304, 305], "articlerend": [64, 67, 111, 304, 305], "fcgi": [64, 67, 111, 304, 305], "artid": [64, 67, 111, 304, 305], "2653076": [64, 67], "r11": [64, 67], "subdirectori": [64, 221, 223], "getcwd": 64, "write_dir": 64, "fetch_fiac_first_level": [64, 67], "func1": [64, 67, 71, 229], "func2": [64, 67, 71, 229], "design_fil": [64, 67], "design_matrix1": [64, 67], "design_matrix2": [64, 67], "df": [64, 67, 100, 107, 394], "n_column": [64, 67, 163, 185], "pad_vector": 64, "contrast_": 64, "routin": [64, 66, 89, 171, 219, 415], "sstssp_minus_dstdsp": 64, "dstdsp_minus_sstssp": 64, "dst_minus_sst": [64, 67], "dsp_minus_ssp": 64, "dst_minus_sst_for_dsp": 64, "dsp_minus_ssp_for_dst": 64, "deactiv": 64, "contrast_id": [64, 65, 66, 67, 69, 71], "contrast_v": [64, 65, 66, 67, 69, 71], "2i": 64, "contast": 64, "implicitli": [64, 66, 69, 80, 102, 108, 153, 160], "z_image_path": 64, "s_z_map": 64, "0x7f123b3bcbe0": 64, "0x7f1247da5000": 64, "unexpectedli": [64, 67], "ratio": [64, 67, 94, 131, 146, 166, 207, 246, 248, 249, 384, 386], "plot_fiac_analysi": [64, 73], "hemodyam": 65, "audio_comput": [65, 66, 69], "audio_left_hand_button_press": [65, 66, 69], "audio_right_hand_button_press": [65, 66, 69], "horizontal_checkerboard": [65, 66], "sentence_listen": [65, 66, 69], "sentence_read": [65, 66, 69], "vertical_checkerboard": [65, 66], "visual_comput": [65, 66, 69], "visual_left_hand_button_press": [65, 66, 69], "visual_right_hand_button_press": [65, 66, 69], "fetch_localizer_first_level": [65, 66, 69], "epi_img": [65, 66, 69, 89, 173, 217, 316, 319, 362], "events_fil": [65, 66, 69], "impuls": [65, 68, 162, 163, 166, 263, 265, 270], "behind": 65, "concret": [65, 161, 163], "interv": [65, 66, 100, 241, 242, 243, 244, 246, 247, 253, 255, 256, 385, 401], "character": [65, 66, 111, 168, 304], "hairi": 65, "sorri": 65, "price": [65, 158], "flexibl": [65, 121, 146], "contrast_matrix": [65, 66, 69, 71], "dict": [65, 66, 69, 71, 89, 105, 114, 178, 179, 180, 189, 221, 222, 223, 224, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 254, 259, 263, 272, 276, 278, 302, 303, 307, 308, 309, 310, 311, 312, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 358, 359, 367, 368, 375, 376, 380, 383, 384, 385, 386, 393, 395], "audio": [65, 66, 69], "video": 65, "breath": [65, 66], "ask": [65, 114, 132, 135, 146, 161, 168, 169], "plot_fir_model": [65, 73], "clarifi": [66, 140, 146], "exploratori": 66, "increment": [66, 95, 168, 169], "outcom": [66, 166, 305], "reader": 66, "familiar": [66, 161, 168], "concept": [66, 98, 135, 146, 153, 154, 161, 166, 168, 170, 417], "paradigm": [66, 69, 71, 97, 109, 110, 114, 153, 163, 223, 270, 286, 291, 292, 294, 364, 372, 377], "pinel": [66, 72, 111, 216], "bmc": [66, 72, 111, 216], "2007": [66, 72, 111, 147, 216, 225, 287, 304, 305, 398], "probe": [66, 69, 157, 166], "button": [66, 69, 72, 76, 77, 79, 80, 105, 142, 146, 161, 163, 214, 216, 224], "press": [66, 69, 72, 76, 77, 79, 80, 105, 111, 163, 214, 216, 224, 255, 256], "horizont": [66, 72, 80, 216, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350], "checkerboard": [66, 72, 80, 216], "listen": [66, 69, 81, 216], "short": [66, 100, 114, 160, 161, 166, 197, 198, 201, 221, 222, 223, 224], "mental": [66, 69, 72, 81, 216, 222], "subract": 66, "epoch": [66, 249], "100m": 66, "male": [66, 186], "voic": 66, "instruct": [66, 69, 72, 110, 143, 146, 161, 167, 222, 416], "passiv": 66, "verifi": [66, 101, 161, 173], "understood": [66, 221], "flash": 66, "narr": [66, 81, 161], "000000": 66, "400000": 66, "700000": 66, "399994": 66, "700012": 66, "make_localizer_contrast": 66, "involv": [66, 69, 71, 100, 163], "differenti": [66, 71], "content": [66, 69, 84, 111, 157, 158, 161, 199, 204, 210, 218, 281, 397], "stori": [66, 69, 111, 219], "comptat": 66, "encapsul": 66, "plot_contrast": 66, "discret": [66, 71, 139, 140, 146, 263, 272, 291, 304, 308, 309, 310, 311, 312, 397], "spuriou": [66, 111, 151, 161, 304, 305, 387], "heart": 66, "scanner": [66, 163, 166, 304], "01hz": [66, 186], "longest": 66, "multipli": [66, 84, 90, 125, 146, 158, 160, 185, 250, 253, 255, 256, 327, 328, 329, 330, 331, 332, 334, 337, 339, 341, 343, 345, 347, 349, 359, 373, 375, 376], "shall": 66, "wors": [66, 247], "poorli": [66, 94, 173], "mayb": [66, 114, 322], "useless": 66, "haven": [66, 103], "basi": [66, 69, 108, 162, 263, 265, 270, 304], "undershoot": 66, "strong": [66, 89, 160, 161, 168, 169], "seem": [66, 75, 98, 160], "someth": 66, "inclus": [66, 240], "sole": [66, 114, 160, 308, 311], "discount": 66, "misspecif": 66, "hint": [66, 147, 148, 168], "misfit": 66, "valuabl": [66, 161], "adjust": [66, 68, 130, 146, 305, 324, 335, 338], "shift": [66, 138, 144, 146, 308, 309, 310, 311, 312, 397], "mi": 66, "sake": [66, 79, 105], "simplic": [66, 69, 153], "readabl": 66, "drop": [66, 70, 100, 127, 128, 129, 133, 146, 169], "far": [66, 108, 160, 296, 302], "autoregress": [66, 263, 272], "ordinari": [66, 102, 105, 254, 322], "least": [66, 68, 100, 102, 103, 105, 111, 153, 159, 161, 249, 250, 254, 263, 272, 276, 277, 278, 310, 312, 316, 322, 353, 416], "explicitli": [66, 67, 107, 132, 144, 146, 153, 221, 303, 305, 384], "obviou": 66, "stick": 66, "arguabl": 66, "greater": [66, 100, 140, 142, 146, 163, 263, 272, 280, 287, 300, 327, 328, 329, 330, 331, 332, 334, 337, 339, 341, 343, 345, 347, 349, 359, 368, 378, 380, 382, 394, 398, 401], "complex": [66, 77, 87, 111, 114, 153, 155, 158, 161, 165, 173], "ar3": [66, 272], "wish": [66, 79, 142, 146, 161, 166, 168, 169, 211, 212, 324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 357, 359, 362, 364, 365, 368, 370, 371, 372], "computation": [66, 154, 158, 168], "problemat": 66, "uncontrol": 66, "spike": 66, "phenomena": 66, "respir": 66, "blood": [66, 163, 166], "oxygen": [66, 163, 166], "themselv": [66, 114, 173], "percentil": [66, 87, 88, 98, 241, 242, 243, 244, 246, 247, 280, 287, 300, 327, 328, 329, 330, 331, 332, 333, 334, 337, 338, 339, 340, 341, 343, 344, 345, 347, 349, 350, 356, 359, 370, 378, 379, 380, 382, 386, 398], "kill": 66, "somewhat": 66, "colinear": 66, "scrub": [66, 140, 142, 146, 148, 263, 304, 305, 307, 308, 309, 310, 311, 312, 386, 397], "scenario": [66, 162, 163, 173], "exclud": [66, 114, 169, 387], "unwant": 66, "wecan": 66, "discrep": [66, 160], "drawback": 66, "bias": 66, "mild": 66, "5mm": [66, 95, 168], "smoother": 66, "firstlevemodel": 66, "grei": [66, 89, 125, 135, 141, 146, 172, 173, 211, 212, 234, 235, 236, 238, 315, 318], "data_mask": [66, 104], "fetch_icbm152_brain_gm_mask": [66, 75, 125, 146, 211], "icbm_mask": 66, "driven": [66, 152, 161, 168, 190, 270], "resample_to_img": [66, 75, 93, 124, 146, 172, 173, 296], "resampled_icbm_mask": 66, "spot": 66, "interestingli": 66, "resili": 66, "reassur": 66, "plot_first_level_detail": [66, 73], "summary_statistics_session1": 67, "0x7f123ee3f1c0": 67, "summary_statistics_session2": 67, "0x7f125e54ec20": 67, "compute_fixed_effect": 67, "contrast_img": [67, 260], "variance_img": [67, 260], "effect_vari": [67, 80, 251, 263, 276], "fixed_fx_contrast": 67, "fixed_fx_vari": 67, "fixed_fx_stat": 67, "0x7f123ed7b3d0": 67, "plot_fixed_effect": [67, 73], "hemodynam": [68, 71, 153, 166], "propos": [68, 100, 161, 162, 169, 316], "primat": 68, "agent": 68, "mion": 68, "monkei": 68, "coupl": [68, 147, 169], "metabol": [68, 163, 166], "phenomenolog": 68, "framework": [68, 147, 207], "whenev": [68, 154, 279], "uncertainti": [68, 76, 79, 160, 162, 163, 166], "occur": [68, 120, 146, 163, 166, 416], "time_length": [68, 267, 268, 269, 273, 274, 275], "amplitud": [68, 265, 270, 378, 380, 382], "exp_condit": [68, 265], "stim": 68, "oversampl": [68, 263, 265, 267, 268, 269, 270, 273, 274, 275], "gamma": [68, 144, 146, 162], "mion_response_funct": 68, "factor": [68, 70, 100, 104, 129, 146, 155, 166, 253, 255, 256, 265, 267, 268, 269, 270, 273, 274, 275, 279, 357, 370, 371, 372, 379], "response_funct": 68, "dt": 68, "time_stamp": 68, "rint": 68, "delai": [68, 169, 263, 265, 270], "mion_time_deriv": 68, "drf": 68, "derived_response_funct": 68, "rf_model": 68, "main_deriv": 68, "compute_regressor": [68, 142, 146, 162], "model_titl": 68, "convolut": [68, 163, 265, 270], "_label": 68, "con_id": [68, 265], "992": [68, 73], "plot_hrf": [68, 73], "capabl": [69, 142, 146], "coregist": 69, "obvious": 69, "geometri": [69, 111, 292, 367, 373, 374, 375, 376, 382, 400, 401], "resort": 69, "whose": [69, 160, 166, 179, 180, 182, 254, 288, 401], "basic_contrast": [69, 71, 162], "Of": 69, "cours": [69, 150, 163, 166, 310], "impress": 69, "littl": [69, 75, 153, 154, 161], "plot_localizer_surface_analysi": [69, 73], "assess": [70, 78, 111, 153, 160, 161, 162, 186, 245, 322, 358], "clean_img": [70, 125, 127, 132, 142, 146, 172, 397], "0x7f123a69cd00": 70, "set_index": 70, "head": [70, 263, 276, 304, 393, 395], "real_timeseri": 70, "predicted_timeseri": [70, 162], "navi": 70, "purpl": 70, "oliv": [70, 111, 158, 190], "teal": 70, "fig1": 70, "axs1": 70, "labelpad": 70, "resid": [70, 144, 146, 304, 305], "fig2": 70, "axs2": 70, "006256025894386526": 70, "07049870657346953": 70, "0034931346633969205": 70, "000834735307466065": 70, "01560692294144391": 70, "005982784657049767": 70, "markedli": 70, "deep": [70, 178, 179, 180, 241, 242, 243, 244, 245, 246, 247, 248, 249, 263, 276, 307, 308, 309, 310, 311, 312, 383, 384, 385, 386], "awai": [70, 160, 324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350], "receiv": [70, 100, 153, 166, 366], "coil": 70, "salt": 70, "necessarili": [70, 151, 163], "influenc": [70, 160, 247], "0x7f123ba181c0": 70, "tell": [70, 86, 111, 160, 219], "everywher": [70, 159], "z_map_ftest": 70, "stat_typ": [70, 263], "0x7f123d8ade10": 70, "794": [70, 73], "plot_predictions_residu": [70, 73], "percept": [71, 135, 146, 163, 216], "realign": [71, 219], "scrambl": [71, 94, 162], "supposedli": 71, "henson": [71, 100, 111], "goshen": 71, "gottstein": 71, "ganel": 71, "otten": 71, "quayl": 71, "rugg": 71, "electrophysiolog": 71, "haemodynam": [71, 162, 163, 166], "prime": 71, "2003": [71, 111, 250, 254], "jul": 71, "793": [71, 120, 146], "805": 71, "1093": [71, 111, 192, 198, 218], "cercor": [71, 111, 192, 198, 218], "multimodal_fac": 71, "fetch_spm_multimodal_fmri": [71, 162], "specfii": 71, "catch_warn": [71, 103], "simplefilt": [71, 103], "auto_resampl": [71, 282], "mean_imag": 71, "idx": [71, 198], "revious": 71, "tail": [71, 253, 255, 256], "tcontrast": [71, 253, 255, 256], "sophist": [71, 98, 156], "implic": [71, 100, 111], "portion": 71, "sparser": [71, 94, 152, 246, 247, 386, 388], "anterior": [71, 91, 103, 129, 146, 204, 206, 295, 373, 375, 376], "frontal": [71, 91, 111, 158, 357, 362, 364, 365, 371, 372], "lobe": [71, 201], "968": [71, 73], "plot_spm_multimodal_fac": [71, 73], "protocol": [72, 166, 216], "archi": 72, "meriaux": [72, 111, 216], "identif": [72, 94, 111, 166, 216], "databas": [72, 103, 111, 216, 221], "cognit": [72, 100, 103, 111, 153, 163, 166, 173, 199, 208, 216, 219, 225, 226], "1186": 72, "1471": 72, "2202": 72, "hardcod": [72, 239], "trial_type_idx": 72, "condition_id": 72, "ones_lik": [72, 77], "export": [72, 357, 358, 359, 360, 361, 362, 363, 364, 365, 367, 368, 370, 371, 372, 373, 374, 375, 376], "tsvfile": 72, "localizer_ev": 72, "plot_ev": [72, 138, 146, 162], "plot_write_events_fil": [72, 73], "auto_examples_04_glm_first_level": 73, "unpair": [74, 82, 110, 165, 216, 276, 334, 361, 364, 377], "sex": [75, 78, 165, 186, 218, 231, 241, 242, 243, 244, 246, 247], "juli": [75, 111, 119, 146, 160, 305], "mf": [75, 111, 218], "gm_mask": 75, "adequ": 75, "000000000000007": 75, "second_level": [75, 76, 77, 78, 79, 80, 81, 101, 144, 146, 165, 395, 414], "secondlevelmodel": [75, 76, 77, 79, 80, 81, 101, 142, 146, 165, 263, 303, 395], "second_level_model": [75, 76, 79, 81, 101], "0x7f1245719390": 75, "secondlevelmodelsecondlevelmodel": [75, 77], "second_level_contrast": [75, 77, 263, 276, 278, 395], "03g": 75, "40175": 75, "0x7f1244311ab0": 75, "icbm152_2009": 75, "842": [75, 82], "1545": 75, "plot_oasi": [75, 82], "circular": 76, "rosenblatt": [76, 111, 258], "jd": 76, "fino": [76, 111, 258], "weeda": [76, 111, 258], "wd": 76, "solari": [76, 111, 258], "goeman": [76, 111, 258], "jj": 76, "nov": [76, 111, 205], "786": [76, 111, 258], "796": [76, 111, 258], "fetch_localizer_contrast": [76, 77, 79, 80, 105, 125, 146, 214, 215], "get_tmap": [76, 79, 80, 216], "second_level_input": [76, 79, 80, 101, 142, 144, 146, 276, 278], "p_val": [76, 77, 79], "p001_uncorrect": 76, "cluster_level_infer": [76, 142, 146, 165], "proportion_true_discoveries_img": [76, 258], "plot_proportion_activated_voxel": [76, 82], "cue": [77, 105, 215, 216], "variat": [77, 101, 105, 106, 111, 158, 159, 166, 225, 262, 278, 322], "pseudo": [77, 105, 248, 249, 255, 278, 280, 384], "brainomics_loc": [77, 105], "brainomics_data": [77, 105], "s01": [77, 105], "cmaps_leftauditoryclick": [77, 105], "tested_var": [77, 105, 106, 322], "float64": 77, "worth": 77, "aualiti": 77, "mask_quality_check": [77, 105], "contrast_map_filenam": [77, 105], "fluenci": 77, "math_img": [77, 79, 83, 85, 96, 107, 110, 123, 146, 172, 224, 293, 372, 377], "logarithm": [77, 79, 278], "equal": [77, 98, 135, 142, 144, 146, 156, 191, 196, 197, 198, 202, 241, 242, 243, 244, 246, 247, 251, 276, 293, 296, 314, 316, 317, 319, 379, 380, 382, 384], "fwer": [77, 81, 165, 166, 278], "non_parametric_infer": [77, 79, 142, 144, 146], "neg_log_pvals_permuted_ols_unmask": [77, 105], "model_intercept": [77, 79, 105, 278, 322], "two_sided_test": [77, 79, 102, 158, 278, 322], "cap": [77, 79], "1e3": 77, "plot_second_level_association_test": [77, 82], "characterist": [78, 153, 166, 305], "subjects_label": [78, 277], "extra": [78, 114, 155, 170, 186, 324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 363, 365, 369, 415, 417], "extra_info_subject": 78, "make_second_level_design_matrix": [78, 165, 414], "attent": [78, 270], "singular": [78, 253, 255, 256, 287, 398], "aberr": 78, "plot_second_level_design_matrix": [78, 82], "elicit": 79, "participant_id": 79, "tolist": [79, 100], "cidx": 79, "p001_unc": [79, 101], "nonparametr": 79, "out_dict": 79, "ideal": [79, 105, 150, 163, 169, 190], "permuted_least_squar": [79, 144, 146], "tend": [79, 100, 155, 160, 171], "logp_max_t": [79, 105, 278, 322], "logp_max_s": [79, 278, 322], "logp_max_mass": [79, 278, 322], "img_count": 79, "i_row": 79, "j_col": 79, "plot_second_level_one_sample_test": [79, 82], "retinotop": 80, "distinct": [80, 100, 111, 160, 192, 218], "border": [80, 285, 314, 317, 323, 325, 326], "primari": [80, 263, 276, 395], "sample_vert": 80, "sample_horizont": 80, "s1": 80, "s2": 80, "condition_effect": 80, "doesn": [80, 103, 161], "subject_effect": 80, "assembl": [80, 112, 163], "unpaired_design_matrix": 80, "paired_design_matrix": 80, "ax_unpair": 80, "ax_pair": 80, "width_ratio": [80, 100], "second_level_model_unpair": 80, "second_level_model_pair": 80, "stat_maps_unpair": 80, "stat_maps_pair": 80, "881784197001252e": 80, "unsurprisingli": 80, "plot_second_level_two_sample_test": [80, 82], "bunch": [81, 113, 127, 146, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 204, 205, 206, 207, 210, 211, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 228, 229, 230, 231], "oppos": [81, 172, 173], "fetch_localizer_calculation_task": [81, 106, 214, 216], "statstic": 81, "cmap_filenam": [81, 106], "trivial": 81, "thresholded_map": [81, 279], "two_sid": [81, 139, 142, 146, 279, 300, 394, 395], "thresholded_map1": 81, "threshold1": 81, "thresholded_map2": 81, "threshold2": 81, "3g": 81, "thresholded_map3": 81, "threshold3": 81, "raw": [81, 92, 101, 108, 139, 146, 153, 171, 173, 193, 241, 242, 243, 244, 248, 249, 308, 311, 372, 384, 393], "0x7f1244286fe0": 81, "0x7f1244f40cd0": 81, "fourth": [81, 84, 140, 146, 263, 278, 288, 289, 304, 305, 307, 308, 309, 310, 311, 312, 355, 386, 397], "0x7f1244287910": 81, "plot_threshold": [81, 82], "auto_examples_05_glm_second_level": 82, "1544": 82, "4x4": [84, 172, 241, 242, 243, 244, 246, 247, 248, 249, 263, 276, 283, 293, 294, 296, 308, 311, 314, 316, 317, 319, 325, 326, 384], "millimet": [84, 158, 173, 241, 242, 243, 244, 245, 248, 249, 263, 276, 278, 298, 308, 309, 310, 311, 312, 313, 324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 353, 384, 386, 388, 394], "entri": [84, 161, 169, 241, 242, 243, 244, 253, 255, 256, 285, 374, 401], "3x3": [84, 172, 241, 242, 243, 244, 246, 247, 248, 249, 263, 276, 293, 296, 308, 311, 314, 316, 317, 319, 384], "closest": [84, 296], "union": [84, 317, 319, 320], "messag": [84, 122, 146, 169, 179, 182, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 222, 224, 225, 226, 227, 228, 229, 231, 241, 242, 243, 244, 245, 246, 247, 276, 278, 282, 293, 314, 315, 316, 318, 322, 384, 385, 386], "circl": [84, 161], "diamond": 84, "source_affin": 84, "rotation_matrix": 84, "0mm": [84, 168], "img_in_mm_spac": 84, "target_affine_3x3": 84, "target_affine_4x4": 84, "img_3d_affin": 84, "img_4d_affin": 84, "target_affine_mm_space_offset_chang": 84, "img_3d_affine_in_mm_spac": 84, "img_4d_affine_in_mm_spac": 84, "anchor": 84, "plot_affine_transform": [84, 96], "goal": [85, 90, 93, 113, 160, 161], "result_img": [85, 171, 292], "img1": [85, 292], "img2": [85, 292], "898": [85, 96], "plot_compare_mean_imag": [85, 96], "connected_label_region": [86, 127, 146, 150, 172, 386, 388], "oper": [86, 89, 91, 94, 104, 113, 140, 146, 153, 160, 161, 163, 166, 168, 170, 171, 173, 178, 179, 212, 240, 263, 276, 290, 292, 293, 314, 315, 316, 318, 360, 403, 407, 417], "atlas_yeo_2011": 86, "atlas_yeo": 86, "thick_7": [86, 202], "0x7f125e54d210": 86, "apart": [86, 127, 146, 150, 151, 160], "region_label": 86, "region_extractor": [86, 142, 146], "0x7f1243ab7c40": 86, "difficult": [86, 147, 154, 159, 173], "eg": [86, 89, 129, 132, 138, 146, 147, 148, 153, 172, 173, 354, 355, 393], "broken": [86, 125, 133, 146, 158], "relabeled_yeo_atla": 86, "folder_path": 86, "connect_diag": [86, 387], "region_labels_not_diag": 86, "0x7f123e7e7b50": 86, "100mm": 86, "region_labels_min_s": 86, "plot_extract_regions_labels_imag": [86, 96], "smith_atla": 87, "atlas_network": 87, "dmn_network": 87, "regions_indices_network3": 87, "blob": [87, 94, 152, 172, 198], "network3": 87, "plot_extract_rois_smith_atla": [87, 96], "fetch_neurovault_auditory_computation_task": [88, 132, 146, 224], "foreground": [88, 151], "connected_region": [88, 120, 133, 146, 151, 172, 386, 387], "scoreatpercentil": [88, 103], "threshold_percentile_img": 88, "threshold_value_img": 88, "0x7f1243541780": 88, "regions_percentile_img": 88, "regions_value_img": 88, "872": [88, 96], "plot_extract_rois_statistical_map": [88, 96], "li": [89, 111, 169, 231], "homogen": [89, 150, 172, 191, 241, 242, 243, 244, 248, 249, 296, 308, 311, 384], "miyawaki_filenam": [89, 173], "miyawaki_mean_img": [89, 173], "0x7f123acd0a00": 89, "0x7f127f37c3d0": 89, "mask_arg": [89, 92, 173, 248, 249, 308, 311, 384], "uniform": 89, "epi_filenam": [89, 173], "0x7f127e1c3700": 89, "eros": [89, 166, 212, 234, 237, 314, 315, 316, 318], "dilat": [89, 94, 166, 172, 212, 234, 237, 314, 315, 316, 318], "layer": 89, "skull": [89, 211, 314, 315, 316, 318], "lower_cutoff": [89, 316, 319], "upper_cutoff": [89, 316, 317, 319], "bright": 89, "hover": 89, "trended_data": 89, "detrended_data": 89, "plot_mask_comput": [89, 96, 173], "negative_stat_img": 90, "plot_negate_imag": [90, 96], "output_filepath": [91, 92, 173], "mni152templ": [91, 263, 276, 357, 370, 371, 372, 395], "ward": [91, 150, 166, 167, 309, 384], "pole": 91, "123176": 91, "insular": 91, "18728": 91, "superior": [91, 103, 159, 295], "40640": 91, "42528": 91, "inferior": 91, "par": 91, "triangulari": 91, "8824": 91, "operculari": 91, "11072": 91, "68584": 91, "37688": 91, "divis": 91, "4168": 91, "14640": 91, "6784": 91, "20200": 91, "temporooccipit": 91, "16032": 91, "5176": 91, "15536": 91, "11760": 91, "55160": 91, "lobul": 91, "23264": 91, "supramargin": 91, "13936": 91, "18072": 91, "angular": 91, "19272": 91, "78232": 91, "32712": 91, "intracalcarin": 91, "11208": 91, "7808": 91, "juxtaposit": 91, "formerli": [91, 132, 146], "supplementari": [91, 113, 158], "11872": 91, "subcallos": 91, "9136": 91, "paracingul": 91, "23552": 91, "20736": 91, "19296": 91, "precun": 91, "44984": 91, "cuneal": 91, "9816": 91, "orbit": 91, "25184": 91, "parahippocamp": 91, "9984": 91, "5680": [91, 102], "lingual": 91, "27048": 91, "fusiform": [91, 158], "4880": [91, 102], "12752": 91, "11752": 91, "14448": 91, "operculum": 91, "5496": 91, "central": 91, "15088": 91, "8952": 91, "planum": [91, 103], "polar": 91, "5992": 91, "heschl": 91, "h1": 91, "h2": 91, "4832": 91, "temporal": [91, 103], "7616": 91, "supracalcarin": 91, "2088": 91, "42208": 91, "quot": 91, "niftilablesmask": 91, "n_time_point": [91, 92, 271, 272], "add_subplot": 91, "label_idx": 91, "845": [91, 96], "plot_nifti_labels_simpl": [91, 96], "0x7f127e1527a0": 92, "components_mask": [92, 104], "converg": [92, 104, 160, 179, 182, 246, 247, 383], "revers": [92, 128, 135, 146], "757": 92, "plot_nifti_simpl": [92, 96, 173], "resampled_stat_img": 93, "tmap_img": 93, "original_shap": 93, "original_affin": 93, "resampled_shap": 93, "resampled_affin": 93, "template_img": 93, "template_shap": 93, "template_affin": 93, "873": [93, 96], "plot_resample_to_templ": [93, 96], "allevi": 94, "curs": 94, "aris": [94, 111, 163, 304, 305], "context": [94, 100, 111, 161, 166], "chain": [94, 172, 178, 179], "clear": [94, 114, 135, 144, 146, 161, 241, 242, 243, 244, 248, 249, 308, 311, 384], "student": [94, 163, 172, 251], "haxby_label": 94, "txt": [94, 168, 225], "especi": [94, 133, 142, 146, 147, 153, 171, 380], "Such": [94, 147, 301], "4mm": [94, 151, 158, 207, 249], "12mm": 94, "anisotropi": 94, "indent": 94, "analog": 94, "0x7f123e7e4280": 94, "brief": [94, 161, 163], "motiv": 94, "realm": 94, "ttest_ind": [94, 172], "establish": [94, 159, 161], "determin": [94, 100, 101, 102, 107, 158, 160, 161, 180, 247, 266, 277, 301, 314, 315, 316, 317, 318, 322, 324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 357, 364, 365, 367, 371, 372, 379, 383, 401], "log_p_valu": 94, "log_p_values_img": 94, "0x7f1244f309a0": 94, "extend": [94, 138, 143, 146, 163, 296], "annot": [94, 112, 127, 138, 146, 198, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 357, 359, 362, 364, 365, 368, 370, 371, 372, 373, 374, 375, 376, 379, 382, 399, 415, 417], "0x7f1243ab6e30": 94, "intersect": [94, 172, 317, 319, 320, 390], "investig": [94, 98, 152, 169, 245], "bin_p_valu": 94, "boolean": [94, 114, 139, 144, 146, 184, 186, 210, 216, 225, 245, 248, 249, 263, 282, 294, 304, 307, 314, 315, 316, 318, 357, 362, 364, 366, 371, 374, 379, 391, 392], "logic": [94, 114, 161, 240], "logical_and": [94, 102], "jargon": 94, "AND": [94, 114], "conjunct": 94, "bin_p_values_and_vt": 94, "otherwis": [94, 102, 103, 132, 146, 163, 169, 184, 186, 192, 193, 204, 205, 206, 214, 215, 216, 218, 225, 248, 249, 266, 291, 295, 304, 305, 370, 379, 380, 382, 386, 387, 401], "bin_p_values_and_vt_img": 94, "06_manipulating_imag": 94, "plot_roi_extract": [94, 96], "0x7f1244464d90": 94, "consolid": [94, 143, 146], "toward": [94, 142, 146, 178, 291, 308, 309, 310, 311, 312], "morpholog": [94, 172, 314, 315, 316, 318], "forget": [94, 161, 415], "hole": 94, "binary_dil": [94, 172, 314, 315, 316, 318], "dil_bin_p_values_and_vt": 94, "dil_bin_p_values_and_vt_img": 94, "0x7f124571afe0": 94, "immedi": [94, 305], "n_label": [94, 354], "first_roi_data": 94, "second_roi_data": 94, "first_roi_img": 94, "second_roi_img": 94, "0x7f127f37c280": 94, "suit": [94, 100, 148, 154, 168, 190], "condition_nam": [94, 100], "n_cond_img": 94, "n_cond": 94, "gather": [94, 161, 163], "cond": [94, 100, 265], "cond_map": 94, "mask_data": 94, "mask_atla": 94, "2271": [94, 96], "lose": [95, 415], "first_epi_fil": 95, "mean_func": 95, "20mm": [95, 168], "smoothed_img": [95, 168, 171], "imm": 95, "plot_smooth_mean_imag": [95, 96], "auto_examples_06_manipulating_imag": 96, "multivari": [97, 109, 110, 111, 152, 166, 167, 168, 189, 207, 288, 293, 307, 311, 372, 377, 416], "massiv": [97, 109, 110, 157, 210, 215, 216, 286, 288, 293, 307, 311, 322, 350, 364, 372, 377, 408, 417], "bridg": 98, "integr": [98, 120, 135, 146, 161, 172, 308], "usecas": [98, 150, 154, 156, 161], "pointer": [98, 156, 168], "unclear": 98, "n_timepoint": [98, 153, 156], "meaning": [98, 100, 122, 132, 135, 146, 161, 163, 281, 397], "stipul": 98, "823": 98, "processor": [98, 156], "858": 98, "dummyclassifi": [98, 99, 140, 146, 156, 241, 242, 243, 244], "pure": [98, 102, 246, 247], "slower": [98, 156, 160, 296], "permutation_test_scor": [98, 156], "null_cv_scor": 98, "selectpercentil": [98, 127, 146], "anova_svc": 98, "return_estim": 98, "fitted_pipelin": 98, "test_scor": 98, "801": 98, "first_pipelin": 98, "svc_coef": 98, "invert": [98, 104, 138, 146, 160, 178, 253, 255, 256], "full_coef": 98, "0x7f1243e129e0": 98, "fisher": [98, 111, 251], "lda": 98, "discriminant_analysi": 98, "lineardiscriminantanalysi": 98, "anova_lda": 98, "n_condit": 98, "8009": 98, "principl": [98, 150, 153, 157, 159, 166, 245, 417], "fanci": 98, "n_features_to_select": 98, "rfe_svc": 98, "awar": [98, 180, 396], "plot_advanced_decoding_scikit": [98, 109], "gridsearchcv": [99, 156], "pipe": [99, 161], "param_grid": [99, 154, 241, 242, 243, 244], "most_frequ": 99, "connectivity__kind": 99, "labelencod": 99, "pheno": 99, "refit": 99, "cv_results_": 99, "mean_test_scor": 99, "std_test_scor": 99, "candid": 99, "param_connectivity__kind": 99, "1187": [99, 109], "plot_age_group_prediction_cross_v": [99, 109, 135, 146], "substitut": [100, 393], "psychophysiolog": 100, "ppi": 100, "cisler": [100, 111], "everyth": [100, 169], "systemat": [100, 111, 122, 146, 216, 304, 305], "incorpor": [100, 152], "literatur": [100, 148, 186, 287, 305, 398], "mention": [100, 161, 162, 163], "appropri": [100, 111, 173, 188, 207, 211, 236, 263, 265, 270, 387], "abdulrahman": [100, 111], "decis": [100, 111, 154, 158, 241, 242, 243, 244, 246, 247, 251], "inter": [100, 105, 148, 172, 173, 317, 319], "mumford": [100, 111, 153, 208, 226], "primarili": 100, "fetch_language_localizer_demo_dataset": [100, 101, 108, 162], "events_df": 100, "languageloc": [100, 101, 108], "img_filt": [100, 101, 108, 266], "desc": [100, 101, 108, 266, 304, 305], "preproc": [100, 101, 108, 266], "standard_glm": 100, "fmri_fil": 100, "glm_paramet": 100, "get_param": [100, 178, 179, 180, 241, 242, 243, 244, 245, 246, 247, 248, 249, 263, 276, 307, 308, 309, 310, 311, 312, 383, 384, 385, 386], "01_task": [100, 101, 108], "languagelocalizer_desc": [100, 101, 108], "highlight": [100, 169], "lsa_events_df": 100, "condition_count": 100, "i_trial": 100, "iterrow": 100, "trial_condit": 100, "__": [100, 178, 179, 180, 241, 242, 243, 244, 245, 246, 247, 248, 249, 263, 276, 307, 308, 309, 310, 311, 312, 383, 384, 385, 386], "shouldn": [100, 169, 188], "trial_nam": 100, "lsa_glm": 100, "lsa_beta_map": 100, "trialwise_condit": 100, "beta_map": 100, "relabel": [100, 387], "lss_transform": 100, "row_numb": 100, "compliant": [100, 161, 173, 226, 239, 305], "trial_type_seri": 100, "trial_type_list": 100, "trial_numb": 100, "left_001": 100, "track": [100, 103, 160, 169], "lss_beta_map": 100, "lss_design_matric": 100, "lss_events_df": 100, "lss_glm": 100, "dm_titl": 100, "i_ax": 100, "though": [100, 104, 153, 254, 373, 396], "vastli": 100, "quick": [100, 414, 417], "neurosynth": [100, 103, 112, 221, 223, 417], "lang_seed_beta_seri": 100, "lang_beta_seri": 100, "lang_corr": 100, "language_connectivity_img": 100, "string_seed_beta_seri": 100, "string_beta_seri": 100, "string_corr": 100, "string_connectivity_img": 100, "josh": [100, 111], "keith": [100, 111], "bush": [100, 111], "scott": [100, 111, 206], "steel": [100, 111], "1042": [100, 111], "1052": [100, 111], "jess": [100, 111], "rissman": [100, 111], "adam": [100, 111], "gazzalei": [100, 111], "esposito": [100, 111], "stage": [100, 111], "752": [100, 111], "763": [100, 111], "2004": [100, 111, 192, 255, 256], "jeanett": [100, 111], "benjamin": [100, 111, 206], "turner": [100, 111, 189, 199], "gregori": [100, 111], "ashbi": [100, 111], "poldrack": [100, 111, 114, 208, 219, 221, 223, 226], "deconvolv": [100, 111, 153], "multivoxel": [100, 111, 153, 219], "2636": [100, 111], "2643": [100, 111, 139, 146], "spatiotempor": [100, 111], "rapid": [100, 111], "1429": [100, 111], "1438": [100, 111], "hunar": [100, 111], "richard": [100, 111], "766": [100, 111], "plot_beta_seri": [100, 109], "consult": [101, 168], "simplifi": [101, 108, 113, 125, 135, 143, 146, 173, 214, 215], "basenam": 101, "rotx": 101, "roti": 101, "rotz": 101, "conson": 101, "value_count": 101, "scalar": [101, 158, 173, 250, 251, 253, 254, 255, 256, 298, 324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 359, 368], "model_and_arg": 101, "midx": 101, "share": [101, 111, 114, 138, 146, 147, 152, 171, 182, 191, 194, 195, 216, 221, 223], "8mm": [101, 263, 276, 395], "first_level_contrast": [101, 142, 146, 276, 278], "plot_bids_analysi": [101, 109], "behav": [102, 263, 265, 270], "exchang": [102, 104, 186], "winkler": [102, 111, 218, 322], "anderson": [102, 111, 186, 218, 322], "robinson": [102, 111, 218, 322], "australian": [102, 111, 322], "zealand": [102, 111, 322], "journal": [102, 111, 158, 198, 199, 202, 225, 322], "avesbiodiv": 102, "mncn": 102, "csic": 102, "estadistica": 102, "permut2": 102, "feb": 102, "conditions_encod": 102, "func_reduc": 102, "n_session": 102, "grouped_fmri_mask": 102, "grouped_conditions_encod": 102, "session_mask": 102, "session_house_mask": 102, "session_face_mask": 102, "ol": [102, 105, 253, 255, 256, 263, 272, 322, 408], "trace": 102, "45289993286133": 102, "23289966583252": 102, "46397900581358": 102, "04014563560487": 102, "35175204277038": 102, "66585922241211": 102, "376024961471565": 102, "93624070712498": 102, "88054275512695": 102, "20813319418165": 102, "08876013755798": 102, "34729580445723": 102, "15695206324259": 102, "852121793306786": 102, "798493657793315": 102, "47023272514343": 102, "54757225513458": 102, "91504791203667": 102, "48383953836229": 102, "206150230608486": 102, "60747146606445": 102, "23012241863069": 102, "24135719646106": 102, "73996797851894": 102, "33665339152018": 102, "376967668533325": 102, "66699462670546": 102, "81662019976862": 102, "99903614180429": 102, "217577186124075": 102, "09682623545329": 102, "80027436440991": 102, "364539802074425": 102, "19513907577053": 102, "74269022661097": 102, "530335426330566": 102, "79776435428196": 102, "374900908083525": 102, "84207714231391": 102, "39639672254904": 102, "9317626953125": 102, "509771602909744": 102, "08576971008664": 102, "768191149068436": 102, "03875786607915": 102, "24186452229817": 102, "09539528515029": 102, "00243059117743": 102, "22358385721843": 102, "80439187069327": 102, "54529142379761": 102, "023898278965675": 102, "73168180539058": 102, "48882155148488": 102, "16024623976813": 102, "78647951646285": 102, "48962388719831": 102, "195196774967926": 102, "923431371820385": 102, "65385786557601": 102, "38817095756531": 102, "12181403988698": 102, "88437688735223": 102, "65307564962478": 102, "41581758856773": 102, "65674827649043": 102, "66733764879631": 102, "41885807265096": 102, "1686935565051": 102, "918850940206774": 102, "768106835229055": 102, "54285366434447": 102, "3307532204522": 102, "61169475398652": 102, "36864596444207": 102, "27535184224447": 102, "085329118527866": 102, "93122211369601": 102, "71797957175817": 102, "5549676931357": 102, "38799071311951": 102, "21549583364416": 102, "05791892074957": 102, "91120163216648": 102, "77810802913847": 102, "64168108210844": 102, "505532098370935": 102, "35164895550958": 102, "22534808245572": 102, "06634824195604": 102, "93490958213806": 102, "77367383569152": 102, "63698871239372": 102, "452509554483555": 102, "30252622036224": 102, "18736924623188": 102, "038670877615615": 102, "92564773805363": 102, "79618581947015": 102, "750886014013574": 102, "61298894882202": 102, "48033110458073": 102, "35141122107412": 102, "242297732714306": 102, "25104170579176": 102, "294703949065436": 102, "28354030735088": 102, "26065613844684": 102, "317040823124074": 102, "21016536940128": 102, "07188465378501": 102, "97183207993035": 102, "86423594611032": 102, "76145500208424": 102, "717711678722445": 102, "67181023307469": 102, "52038809348797": 102, "41708663182381": 102, "366763211913025": 102, "691792858748876": 102, "543971856435135": 102, "43286256356673": 102, "37692134106746": 102, "53684591277828": 102, "473440301033754": 102, "42992901802063": 102, "413216004295954": 102, "320320202609686": 102, "23517745733261": 102, "14437603211218": 102, "05954564534701": 102, "99560467523473": 102, "9237048553698": 102, "89114689109917": 102, "06821960833535": 102, "049540263635144": 102, "96236206503475": 102, "907033779325275": 102, "82851738860642": 102, "732251743618534": 102, "65564669881548": 102, "54892011398965": 102, "905014108604114": 102, "865991649094155": 102, "12545487615797": 102, "23849423178311": 102, "383543164762735": 102, "30553420384725": 102, "23112153362584": 102, "14742092478195": 102, "132848024368286": 102, "05638450028881": 102, "9564598986977": 102, "86128987206353": 102, "87089776063894": 102, "83772124782685": 102, "770419267507705": 102, "6911301764713": 102, "609439958499955": 102, "488842386869514": 102, "414258658885956": 102, "35162217424523": 102, "29834511544969": 102, "20161743398093": 102, "09070724394263": 102, "00327574845516": 102, "919025464230273": 102, "0429304188597": 102, "00330534435454": 102, "960640447379568": 102, "873718696482044": 102, "779578498929567": 102, "71993255615234": 102, "83156662180245": 102, "942902652696628": 102, "00450134277344": 102, "04454969276081": 102, "09437431723385": 102, "146722415859784": 102, "19735102014169": 102, "20636224746704": 102, "12115074126101": 102, "027338973768465": 102, "9536023309322": 102, "85993403973787": 102, "77643522700748": 102, "6837629477183": 102, "553906067169923": 102, "426105103594193": 102, "30646973438364": 102, "18734003368177": 102, "060337431143715": 102, "963860313097634": 102, "924312025771854": 102, "876527193895324": 102, "889550105119365": 102, "922873122351508": 102, "929621936100993": 102, "906952258312337": 102, "813469932306955": 102, "772530555725098": 102, "674503302692774": 102, "2020": [102, 111, 136, 137, 138, 146, 169, 193, 206], "712786150450754": 102, "2030": 102, "625296337851164": 102, "2040": 102, "555138891818476": 102, "2050": 102, "4867489396072": 102, "2060": 102, "407667641500826": 102, "2070": 102, "33842752751521": 102, "377690874613247": 102, "2090": [102, 135, 146], "356259188583593": 102, "2100": 102, "338386263166154": 102, "2110": 102, "292662962918033": 102, "2120": 102, "22476325394972": 102, "2130": 102, "21532133039734": 102, "2140": 102, "192146789247744": 102, "2150": 102, "239922845086383": 102, "2160": 102, "211676244382506": 102, "2170": 102, "153696990782215": 102, "2180": 102, "074852661255303": 102, "2190": 102, "004043192623957": 102, "2200": 102, "966639627109874": 102, "2210": 102, "896675663296453": 102, "2220": 102, "817879736960474": 102, "2230": 102, "73717137623261": 102, "2240": [102, 135, 146], "714437808309285": 102, "2250": 102, "752231624391346": 102, "2260": 102, "761705683395927": 102, "2270": 102, "766285637926952": 102, "2280": 102, "69748016407615": 102, "2290": [102, 136, 146], "66201929129888": 102, "2300": [102, 137, 146], "69005116172459": 102, "2310": 102, "65053934142703": 102, "2320": 102, "592819213867188": 102, "2330": 102, "525633867206494": 102, "2340": 102, "452901844285492": 102, "2350": 102, "393946191097825": 102, "2360": 102, "353422067933167": 102, "2370": 102, "284822823126106": 102, "2380": 102, "255312258455934": 102, "2390": 102, "175189005281137": 102, "2400": 102, "116389195124306": 102, "2410": 102, "04999475657198": 102, "2420": 102, "987584009643427": 102, "92496593793233": 102, "2440": 102, "85038842529547": 102, "2450": 102, "767353189234832": 102, "2460": 102, "698874190570862": 102, "2470": 102, "636653862501447": 102, "2480": 102, "575380509899507": 102, "2490": 102, "507145146289503": 102, "2500": 102, "441984176635742": 102, "2510": 102, "385666044584784": 102, "32084111561851": 102, "2530": 102, "252878167412497": 102, "2540": 102, "250466609564356": 102, "2550": 102, "20571803579143": 102, "2560": 102, "179589949548244": 102, "2570": 102, "116749400758557": 102, "2580": 102, "080608622972356": 102, "2590": 102, "147794877240095": 102, "2600": 102, "16631584901076": 102, "2610": 102, "248791035107725": 102, "2620": 102, "434212770170838": 102, "2630": 102, "481502675284904": 102, "2640": 102, "40741952260335": 102, "2650": 102, "386421828899746": 102, "2660": 102, "32336928252887": 102, "2670": 102, "255970576282742": 102, "2680": 102, "190540740739056": 102, "2690": 102, "127065878375312": 102, "2700": 102, "048511849509346": 102, "2710": 102, "983293335376192": 102, "2720": 102, "91736238844254": 102, "2730": [102, 140, 146], "859626590113937": 102, "2740": 102, "794499097949398": 102, "2750": 102, "72506360574202": 102, "2760": 102, "658470530440844": 102, "2770": 102, "648266612407532": 102, "2780": 102, "6460145308817": 102, "2790": [102, 140, 146], "674905920541416": 102, "2800": 102, "657209873199466": 102, "2810": [102, 140, 146], "640118849235073": 102, "2820": 102, "61274432966895": 102, "2830": 102, "566456797266177": 102, "2840": 102, "55411060763077": 102, "2850": 102, "528207812392917": 102, "467649511524016": 102, "2870": 102, "39494738761556": 102, "2880": [102, 142, 146], "333215415477753": 102, "2890": 102, "259098398644202": 102, "2900": [102, 141, 146], "203468026786013": 102, "2910": [102, 111, 201], "133452017282703": 102, "2920": 102, "071678187749157": 102, "2930": 102, "00831647619046": 102, "2940": 102, "959548098700385": 102, "2950": 102, "91118317943508": 102, "2960": 102, "883008647609405": 102, "2970": 102, "845938207324505": 102, "2980": 102, "838588290566566": 102, "2990": 102, "83448727712982": 102, "892871856689453": 102, "3010": [102, 142, 146], "891221899526855": 102, "3020": 102, "877560129228808": 102, "3030": [102, 144, 146], "91224194831974": 102, "3040": 102, "896557042473237": 102, "3050": 102, "884760082745164": 102, "3060": 102, "900648389766417": 102, "3070": 102, "91085027794108": 102, "3080": 102, "938918027010832": 102, "3090": [102, 142, 146], "087190141184042": 102, "3100": 102, "100085504593384": 102, "3110": 102, "083769670253403": 102, "3120": 102, "042161207932693": 102, "3130": 102, "98578139920585": 102, "3140": 102, "924755330298353": 102, "3150": 102, "87010752587091": 102, "3160": 102, "81096768681007": 102, "3170": 102, "793917370895482": 102, "3180": 102, "768176138775907": 102, "3190": 102, "739347654450274": 102, "3200": 102, "77292510867119": 102, "3210": 102, "790073678500924": 102, "3220": [102, 144, 146], "76624658833379": 102, "3230": 102, "72352380058714": 102, "3240": 102, "650502599315878": 102, "3250": 102, "579653611549965": 102, "3260": 102, "537678515252892": 102, "3270": 102, "477798153501034": 102, "3280": 102, "42023672708651": 102, "3290": 102, "356986048736104": 102, "3300": [102, 144, 146], "295400836250998": 102, "3310": 102, "231346685720716": 102, "3320": 102, "179267843085597": 102, "3330": 102, "159183288121728": 102, "3340": 102, "175647838386944": 102, "3350": 102, "1611795176321": 102, "3360": 102, "12703704266321": 102, "3370": 102, "06208983373217": 102, "3380": 102, "094476273779335": 102, "3390": 102, "047122857563615": 102, "3400": 102, "005345218321857": 102, "3410": 102, "951297987940723": 102, "3420": 102, "89155874893679": 102, "3430": 102, "852602100233298": 102, "3440": 102, "79728290646575": 102, "3450": 102, "739860147669695": 102, "3460": 102, "72613463374232": 102, "3470": 102, "672971634081527": 102, "3480": 102, "62747406137401": 102, "3490": 102, "57680258914871": 102, "3500": 102, "526010819843837": 102, "3510": 102, "492595396150552": 102, "3520": 102, "436054495247923": 102, "3530": 102, "44964248803115": 102, "3540": 102, "407496904922745": 102, "3550": 102, "385845033215805": 102, "3560": 102, "372896285539262": 102, "3570": 102, "354849460078217": 102, "3580": 102, "331375295223474": 102, "3590": 102, "29230974245204": 102, "3600": 102, "318096584743923": 102, "3610": 102, "28005056103841": 102, "3620": 102, "239168993017287": 102, "3630": 102, "18517752784015": 102, "3640": 102, "13952253677033": 102, "3650": 102, "11179740134984": 102, "3660": 102, "04700652627997": 102, "3670": 102, "992078298443992": 102, "3680": 102, "934305310249332": 102, "3690": 102, "878672657943355": 102, "3700": 102, "857977557826686": 102, "3710": 102, "819127141947373": 102, "3720": 102, "764571953845277": 102, "3730": 102, "71528157663729": 102, "3740": 102, "667656355363164": 102, "3750": 102, "616130987803142": 102, "3760": 102, "578641617551764": 102, "3770": 102, "52828136552866": 102, "3780": 102, "482555376789563": 102, "3790": 102, "42866706281979": 102, "3800": 102, "38035757918107": 102, "3810": 102, "32780508294193": 102, "3820": 102, "290036650852382": 102, "3830": 102, "24948447864921": 102, "3840": 102, "20046745737394": 102, "3850": 102, "156808664272358": 102, "3860": 102, "102763886278773": 102, "3870": 102, "036193619094767": 102, "3880": 102, "98138912682681": 102, "3890": 102, "95325484802913": 102, "3900": 102, "92546113943442": 102, "3910": 102, "876092639420644": 102, "3920": 102, "823191467596555": 102, "3930": 102, "777214876568046": 102, "3940": 102, "729689665857308": 102, "3950": 102, "75220244745665": 102, "3960": 102, "728041041981086": 102, "3970": 102, "71330602283141": 102, "3980": 102, "67073114912714": 102, "3990": 102, "630396238843304": 102, "4000": 102, "58368182182312": 102, "4010": 102, "536580858087895": 102, "4020": 102, "492515288775238": 102, "4030": 102, "440942698021978": 102, "4040": 102, "390745599671167": 102, "336266323372172": 102, "4060": 102, "283994568979796": 102, "4070": 102, "224773135759317": 102, "4080": 102, "179933650820868": 102, "4090": 102, "126661910987426": 102, "4100": 102, "07026139701285": 102, "4110": 102, "016383082907275": 102, "4120": 102, "96545144886646": 102, "4130": 102, "904445024148608": 102, "4140": 102, "850141218894922": 102, "4150": 102, "798004486474646": 102, "4160": 102, "75009362055705": 102, "4170": 102, "69539460518377": 102, "4180": 102, "64948797682256": 102, "4190": 102, "598244516832448": 102, "4200": 102, "545291900634766": 102, "4210": 102, "506077531397764": 102, "4220": 102, "451587472481748": 102, "4230": 102, "399610337354332": 102, "4240": 102, "339739205702298": 102, "4250": 102, "271810419419232": 102, "4260": 102, "209217503596918": 102, "4270": 102, "157092833128132": 102, "4280": 102, "106611294167067": 102, "4290": 102, "105932862052832": 102, "4300": 102, "06375586154849": 102, "4310": 102, "070545119088653": 102, "4320": 102, "02401835830123": 102, "4330": 102, "97985545261903": 102, "4340": 102, "94559602473738": 102, "4350": 102, "941889209308844": 102, "4360": 102, "91141426891362": 102, "4370": 102, "882835172679385": 102, "4380": 102, "849228558475026": 102, "4390": 102, "832534822624748": 102, "4400": 102, "810130206021395": 102, "4410": 102, "82945321530712": 102, "4420": 102, "81994979413926": 102, "4430": 102, "794491744741094": 102, "4440": 102, "758709894644248": 102, "4450": 102, "729017852397448": 102, "4460": 102, "694166360949186": 102, "4470": 102, "663093632499642": 102, "4480": 102, "630048496382578": 102, "4490": 102, "60149504718908": 102, "4500": 102, "574545674853855": 102, "4510": 102, "595497635145673": 102, "4520": 102, "569702294020523": 102, "4530": 102, "535846002844": 102, "4540": 102, "518940588451166": 102, "4550": 102, "514962644367426": 102, "4560": 102, "499207178751625": 102, "4570": 102, "473069697031566": 102, "4580": 102, "456654272745794": 102, "4590": 102, "4864018758138": 102, "4600": 102, "463943543641467": 102, "4610": 102, "45978837985537": 102, "4620": 102, "424365897199287": 102, "4630": 102, "390102462686166": 102, "4640": 102, "353637913177753": 102, "4650": 102, "315831297187398": 102, "4660": 102, "277964937840405": 102, "4670": 102, "237891396822715": 102, "4680": 102, "196293818644993": 102, "4690": 102, "142452999981227": 102, "4700": 102, "086907706362137": 102, "4710": 102, "063622859885992": 102, "4720": 102, "029442399235094": 102, "4730": 102, "01273585978825": 102, "4740": 102, "97858575527175": 102, "4750": 102, "947988146229797": 102, "4760": 102, "952155005030267": 102, "4770": 102, "951527357101437": 102, "4780": 102, "927513113580492": 102, "4790": 102, "8776603859999": 102, "4800": 102, "827981293201447": 102, "4810": 102, "78444455616687": 102, "4820": 102, "734883355896503": 102, "4830": 102, "70334169385843": 102, "4840": 102, "660082283098834": 102, "4850": 102, "606850776475728": 102, "4860": 102, "548724209820783": 102, "4870": 102, "493401512717806": 102, "490096295466188": 102, "4890": 102, "428688010798886": 102, "4900": 102, "369399537845535": 102, "4910": 102, "314857510588077": 102, "4920": 102, "259511908864585": 102, "4930": 102, "258495720598326": 102, "4940": 102, "217238385667684": 102, "4950": 102, "17338711083537": 102, "4960": 102, "12232131342734": 102, "4970": 102, "074355675660865": 102, "4980": 102, "019226201566827": 102, "4990": 102, "969101240735256": 102, "922483205795288": 102, "5010": 102, "874913229913766": 102, "5020": 102, "82614996233784": 102, "5030": 102, "776568965456832": 102, "5040": 102, "726619697752454": 102, "5050": 102, "672052345653572": 102, "5060": 102, "619622137235556": 102, "5070": 102, "564919493842638": 102, "5080": 102, "510466765231037": 102, "5090": 102, "45596845210887": 102, "5100": 102, "401789122936773": 102, "5110": 102, "349872518192296": 102, "5120": 102, "29734011366963": 102, "5130": 102, "24410641634906": 102, "5140": 102, "19469201425634": 102, "5150": 102, "13730775499807": 102, "5160": 102, "077655025230822": 102, "5170": 102, "0193845367985": 102, "5180": 102, "965861028685996": 102, "5190": 102, "92350115252368": 102, "5200": 102, "87240380507249": 102, "5210": 102, "84247773622597": 102, "5220": 102, "802859026810214": 102, "5230": 102, "759411776726836": 102, "5240": 102, "721594246289204": 102, "5250": 102, "670707793462846": 102, "5260": 102, "62159374095641": 102, "5270": 102, "591872606603197": 102, "5280": 102, "554834575364087": 102, "5290": 102, "526282238825058": 102, "5300": 102, "490223434736144": 102, "5310": 102, "44400040129035": 102, "5320": 102, "40775538387155": 102, "5330": 102, "360845552823783": 102, "5340": 102, "31308394603515": 102, "5350": 102, "267942667007446": 102, "5360": 102, "237959484555827": 102, "5370": 102, "19727171821523": 102, "5380": 102, "15707843454354": 102, "5390": 102, "115719781957": 102, "5400": 102, "07141853261877": 102, "5410": 102, "07424533036632": 102, "5420": 102, "077214880623057": 102, "5430": 102, "03119574989403": 102, "5440": 102, "990002344636356": 102, "5450": 102, "938855860211433": 102, "5460": 102, "883491883784423": 102, "5470": 102, "830077319520047": 102, "5480": 102, "77520783278194": 102, "5490": 102, "7229278461095": 102, "5500": 102, "66991545937278": 102, "5510": 102, "617723613382466": 102, "5520": 102, "5696345343106": 102, "5530": 102, "515231197177826": 102, "5540": 102, "463828832233855": 102, "5550": 102, "412381816554714": 102, "5560": 102, "363568455195253": 102, "5570": 102, "314633930178903": 102, "5580": 102, "26197575753735": 102, "5590": 102, "210978825318367": 102, "5600": 102, "16357604094914": 102, "5610": 102, "11216158025405": 102, "5620": 102, "05976421043966": 102, "5630": 102, "028019941509513": 102, "5640": 102, "981341779654752": 102, "5650": 102, "940004903658302": 102, "5660": 102, "891677731759977": 102, "5670": 102, "837134945750023": 102, "787107984784626": 102, "5690": 102, "740300665421312": 102, "5700": 102, "68906659828989": 102, "5710": 102, "638380405990546": 102, "5720": 102, "58627158611804": 102, "5730": 102, "5375721787491": 102, "5740": 102, "489509187093596": 102, "5750": 102, "43907326200734": 102, "5760": 102, "387591335508557": 102, "5770": 102, "338409190781192": 102, "5780": 102, "289175685301785": 102, "5790": 102, "239034112871003": 102, "5800": 102, "187036152543694": 102, "5810": 102, "13855402358838": 102, "5820": 102, "0941663304555": 102, "5830": 102, "044098286031655": 102, "5840": 102, "992673495044448": 102, "5850": 102, "94242236756871": 102, "5860": 102, "893416928756766": 102, "5870": 102, "841331264635567": 102, "79265539662368": 102, "5890": 102, "744254899551185": 102, "5900": 102, "70299229783527": 102, "5910": 102, "678242730206845": 102, "5920": 102, "66200385544751": 102, "5930": 102, "64496625052737": 102, "5940": 102, "619202518302583": 102, "5950": 102, "603231920915492": 102, "5960": 102, "561837631584012": 102, "5970": 102, "561505535339789": 102, "5980": 102, "517130701836937": 102, "5990": 102, "470356907390793": 102, "6000": 102, "42608086268107": 102, "6010": 102, "383032538529838": 102, "6020": 102, "339386154250843": 102, "6030": 102, "295334061975307": 102, "6040": 102, "251070641523956": 102, "6050": 102, "206157430144382": 102, "6060": 102, "161193373179671": 102, "6070": 102, "116864887847145": 102, "6080": 102, "08134293242505": 102, "6090": 102, "041395919076328": 102, "6100": 102, "001909873524651": 102, "6110": 102, "961331113855888": 102, "6120": 102, "925088274712655": 102, "6130": 102, "888469451792286": 102, "6140": 102, "852535789098336": 102, "6150": 102, "819796420694367": 102, "6160": 102, "781863869010628": 102, "6170": 102, "742026893594081": 102, "6180": 102, "706070661544802": 102, "6190": 102, "673124673100782": 102, "6200": 102, "642561635663432": 102, "6210": 102, "62096205310545": 102, "6220": 102, "591117514674684": 102, "6230": 102, "553292350631274": 102, "6240": 102, "516673247019451": 102, "6250": 102, "46792197227478": 102, "6260": 102, "423367413469016": 102, "6270": 102, "37762941698138": 102, "6280": 102, "334642507468061": 102, "6290": 102, "290867805480957": 102, "245776778175719": 102, "6310": 102, "203235916781537": 102, "6320": 102, "158999086935307": 102, "6330": 102, "115170571476362": 102, "6340": 102, "071007642084117": 102, "6350": 102, "027207337026521": 102, "6360": 102, "983104392417571": 102, "6370": 102, "937213480753277": 102, "6380": 102, "899509640696657": 102, "6390": 102, "859102592781676": 102, "6400": 102, "823063492774963": 102, "6410": 102, "778353315433737": 102, "6420": 102, "733560181852441": 102, "6430": 102, "692627018755": 102, "6440": 102, "663204801748995": 102, "6450": 102, "619961967763974": 102, "6460": 102, "587809998184538": 102, "6470": 102, "550662416947496": 102, "6480": 102, "547082818584679": 102, "6490": 102, "51763229487673": 102, "6500": 102, "481511317766628": 102, "6510": 102, "440174281871817": 102, "6520": 102, "39981922342733": 102, "6530": 102, "3598063828204": 102, "6540": 102, "320888948003084": 102, "6550": 102, "280796627961951": 102, "6560": 102, "23865360457723": 102, "6570": 102, "19994988833388": 102, "6580": 102, "156636815665344": 102, "6590": 102, "11779977012657": 102, "6600": 102, "083878856716733": 102, "6610": 102, "048021473430111": 102, "6620": 102, "011778552006378": 102, "6630": 102, "976815067624976": 102, "6640": 102, "95158143790371": 102, "6650": 102, "92497485741637": 102, "6660": 102, "894054510929925": 102, "6670": 102, "857660441563047": 102, "6680": 102, "83258603575701": 102, "6690": 102, "800967647712145": 102, "6700": 102, "762442353946058": 102, "6710": 102, "722746255678501": 102, "6720": 102, "682525725591749": 102, "6730": 102, "640079163513072": 102, "6740": 102, "596306843290694": 102, "6750": 102, "553235477871365": 102, "6760": 102, "510483970303511": 102, "6770": 102, "467741305930222": 102, "6780": 102, "4252992829742": 102, "6790": 102, "381004683574623": 102, "6800": 102, "338168200324564": 102, "6810": 102, "295169286265777": 102, "6820": 102, "2542791702181": 102, "6830": 102, "211294686637197": 102, "6840": 102, "168903515352836": 102, "6850": 102, "12672680833914": 102, "6860": 102, "083937120854683": 102, "6870": 102, "043693519922668": 102, "6880": 102, "001117570455687": 102, "6890": 102, "957494641596067": 102, "6900": 102, "934139351913894": 102, "6910": 102, "903683066195589": 102, "6920": 102, "886555520096264": 102, "6930": 102, "85837062543949": 102, "6940": 102, "821332039681907": 102, "6950": 102, "778395398915242": 102, "6960": 102, "73797048371414": 102, "6970": 102, "697061086829798": 102, "6980": 102, "655592034402757": 102, "6990": 102, "613003132851505": 102, "7000": 102, "571245057242256": 102, "7010": 102, "52921170514933": 102, "7020": 102, "48650581748397": 102, "7030": 102, "44401105335393": 102, "7040": 102, "4017740027471": 102, "7050": 102, "358772056322572": 102, "7060": 102, "314639111753905": 102, "7070": 102, "272763625904389": 102, "7080": 102, "2318147521908": 102, "7090": 102, "18841521191832": 102, "7100": 102, "145926438586812": 102, "7110": 102, "103373746161054": 102, "7120": 102, "060939585224965": 102, "7130": 102, "02511352609953": 102, "7140": 102, "004009359690986": 102, "7150": 102, "972400750313605": 102, "7160": 102, "933436461667112": 102, "7170": 102, "894603118071826": 102, "7180": 102, "854739562382607": 102, "7190": 102, "820118966785687": 102, "7200": 102, "779984063572353": 102, "7210": 102, "744705487223507": 102, "7220": 102, "703601913108718": 102, "7230": 102, "662075539677305": 102, "7240": 102, "620166235865806": 102, "7250": 102, "57776928770131": 102, "7260": 102, "53616752506288": 102, "7270": 102, "493793549859046": 102, "7280": 102, "451313029278767": 102, "7290": 102, "40950760134944": 102, "7300": 102, "367304883591116": 102, "7310": 102, "325420810488117": 102, "7320": 102, "283175855386451": 102, "7330": 102, "26514999212705": 102, "7340": 102, "224972036943772": 102, "7350": 102, "182377654678968": 102, "7360": 102, "149133669293448": 102, "7370": 102, "112000427220211": 102, "7380": 102, "071925497959624": 102, "7390": 102, "036945666608691": 102, "7400": 102, "005027326377663": 102, "7410": 102, "970122852145261": 102, "7420": 102, "928887536262243": 102, "7430": 102, "887407186053805": 102, "7440": 102, "845765144594251": 102, "7450": 102, "813319022223453": 102, "7460": 102, "779812976438306": 102, "7470": 102, "742602646111482": 102, "7480": 102, "704987399718343": 102, "7490": 102, "669168288940101": 102, "7500": 102, "632915337880451": 102, "7510": 102, "596947372515258": 102, "7520": 102, "5613586065617": 102, "7530": 102, "523375598241293": 102, "7540": 102, "48179117058569": 102, "7550": 102, "441225325034944": 102, "7560": 102, "400837674973506": 102, "7570": 102, "359602726592412": 102, "7580": 102, "318554125234762": 102, "7590": 102, "277876859911187": 102, "7600": 102, "237250704514352": 102, "7610": 102, "197368334533353": 102, "7620": 102, "157915455149851": 102, "7630": 102, "11944917895066": 102, "7640": 102, "078334986851473": 102, "7650": 102, "040462869444704": 102, "7660": 102, "007407053954921": 102, "7670": 102, "968628560393231": 102, "7680": 102, "929397786657017": 102, "7690": 102, "889858168030278": 102, "7700": 102, "849870951144727": 102, "7710": 102, "809159684273986": 102, "7720": 102, "765794793558861": 102, "7730": 102, "725080691210511": 102, "7740": 102, "687640673122353": 102, "7750": 102, "644431352615356": 102, "7760": 102, "622213638934895": 102, "7770": 102, "578105701596272": 102, "7780": 102, "535209455343017": 102, "7790": 102, "493471679087625": 102, "7800": 102, "451011596581875": 102, "7810": 102, "410543009505233": 102, "7820": 102, "367916257180216": 102, "7830": 102, "32952100624679": 102, "7840": 102, "292293524255555": 102, "7850": 102, "251944010424765": 102, "7860": 102, "212239161095853": 102, "7870": 102, "175625606292083": 102, "7880": 102, "138484268624167": 102, "7890": 102, "101254120827928": 102, "7900": 102, "070171651960928": 102, "7910": 102, "039132678553973": 102, "7920": 102, "003794178818211": 102, "7930": 102, "965544489864143": 102, "7940": 102, "927646439982299": 102, "7950": 102, "8895896035920146": 102, "7960": 102, "850264857162785": 102, "7970": 102, "812132895815475": 102, "7980": 102, "7804292491205365": 102, "7990": 102, "7433544404814": 102, "8000": 102, "707551181316376": 102, "8010": 102, "675339520498461": 102, "8020": 102, "634860015569481": 102, "8030": 102, "596973939078535": 102, "8040": 102, "559662724015722": 102, "8050": 102, "519816311249822": 102, "8060": 102, "478755155213125": 102, "8070": 102, "436695110989915": 102, "8080": 102, "3959256729277065": 102, "8090": 102, "35587064503739": 102, "8100": 102, "319729033811592": 102, "8110": 102, "27944119908513": 102, "8120": 102, "2441104233558535": 102, "8130": 102, "2034766457031": 102, "8140": 102, "166251984509552": 102, "8150": 102, "12579253846151": 102, "8160": 102, "086578193832849": 102, "8170": 102, "049064135755727": 102, "8180": 102, "009608683201388": 102, "8190": 102, "975243443243375": 102, "8200": 102, "937998358796283": 102, "8210": 102, "897460111601783": 102, "8220": 102, "857324252163405": 102, "8230": 102, "819993118758916": 102, "8240": 102, "781026891134315": 102, "8250": 102, "740862651304766": 102, "8260": 102, "699716617639651": 102, "8270": 102, "658887040370031": 102, "8280": 102, "618998397375652": 102, "8290": 102, "578386068056516": 102, "8300": 102, "538241828780576": 102, "8310": 102, "498079155613228": 102, "8320": 102, "45817625751862": 102, "8330": 102, "418228063835246": 102, "8340": 102, "378251013424182": 102, "8350": 102, "3379990626238065": 102, "8360": 102, "297964266042393": 102, "8370": 102, "257670211678051": 102, "8380": 102, "217166906324948": 102, "8390": 102, "176747943278004": 102, "8400": 102, "138346899123419": 102, "8410": 102, "101187818540832": 102, "8420": 102, "068005864807091": 102, "8430": 102, "030526936690579": 102, "8440": 102, "0000738306633075": 102, "8450": 102, "964852855050352": 102, "8460": 102, "925783378294458": 102, "8470": 102, "885821538663951": 102, "8480": 102, "848013257080655": 102, "8490": 102, "8088324502443935": 102, "8500": 102, "770043471280267": 102, "8510": 102, "730239524964583": 102, "8520": 102, "690509157001691": 102, "8530": 102, "6513390401323695": 102, "8540": 102, "616023347863545": 102, "8550": 102, "576180116474977": 102, "8560": 102, "5368468694597786": 102, "8570": 102, "498398757732039": 102, "8580": 102, "45868663409929": 102, "8590": 102, "419007918054758": 102, "8600": 102, "380260456440061": 102, "8610": 102, "340591177846223": 102, "8620": 102, "301007045670616": 102, "8630": 102, "265903009324059": 102, "8640": 102, "233085349754048": 102, "8650": 102, "207546136282772": 102, "8660": 102, "171710076563355": 102, "8670": 102, "131642004197856": 102, "8680": 102, "094984789597825": 102, "8690": 102, "056387775100688": 102, "8700": 102, "016213691097567": 102, "8710": 102, "976126302670942": 102, "8720": 102, "935704082524009": 102, "8730": 102, "8958756675152175": 102, "8740": 102, "856208552484924": 102, "8750": 102, "816728251320975": 102, "8760": 102, "777347244628491": 102, "8770": 102, "737276836567076": 102, "8780": 102, "700166444843615": 102, "8790": 102, "663921976523456": 102, "8800": 102, "626077055931091": 102, "8810": 102, "5854653156574985": 102, "8820": 102, "54574067954844": 102, "8830": 102, "5059921557879": 102, "8840": 102, "467941923918225": 102, "8850": 102, "431675362721674": 102, "8860": 102, "392494227493324": 102, "8870": 102, "354706656166773": 102, "8880": 102, "317185165645841": 102, "8890": 102, "278538373511605": 102, "8900": 102, "242152149757643": 102, "8910": 102, "209224157729403": 102, "8920": 102, "171381014879508": 102, "8930": 102, "13340367448557": 102, "8940": 102, "095871789343403": 102, "8950": 102, "05960638163476": 102, "8960": 102, "021992319396566": 102, "8970": 102, "985340601358657": 102, "8980": 102, "9481476728528553": 102, "8990": 102, "9092323708454657": 102, "9000": 102, "871144824557834": 102, "9010": 102, "83261472244771": 102, "9020": 102, "796764479508156": 102, "9030": 102, "7628110661723166": 102, "9040": 102, "7288734976169255": 102, "9050": 102, "694600186953887": 102, "9060": 102, "657858236472867": 102, "9070": 102, "625608425287584": 102, "9080": 102, "5953224482515322": 102, "9090": 102, "5589678594381478": 102, "9100": 102, "5199005001193875": 102, "9110": 102, "4799839939950745": 102, "9120": 102, "4411174686331485": 102, "9130": 102, "402053836924877": 102, "9140": 102, "363369667816994": 102, "9150": 102, "323269214786467": 102, "9160": 102, "2830411190549382": 102, "9170": 102, "242318791937541": 102, "9180": 102, "2020864902238713": 102, "9190": 102, "162239973122197": 102, "9200": 102, "121986161107602": 102, "9210": 102, "082353928966711": 102, "9220": 102, "04321547392392": 102, "9230": 102, "0065519876883076": 102, "9240": 102, "967451413472491": 102, "9250": 102, "9281248981888233": 102, "9260": 102, "888330346307283": 102, "9270": 102, "848927483975307": 102, "9280": 102, "8093809793735383": 102, "9290": 102, "7696509751359897": 102, "9300": 102, "7297352129413235": 102, "9310": 102, "6900317668914817": 102, "9320": 102, "650608271488303": 102, "9330": 102, "6105286346754473": 102, "9340": 102, "570877564795776": 102, "9350": 102, "531262829979473": 102, "9360": 102, "4916905134152167": 102, "9370": 102, "4526182986883356": 102, "9380": 102, "4129855470108335": 102, "9390": 102, "3734653448017493": 102, "9400": 102, "333906467924727": 102, "9410": 102, "2952231547531006": 102, "9420": 102, "2565536499023424": 102, "9430": 102, "217791146716284": 102, "9440": 102, "1794341034808378": 102, "9450": 102, "1409504501907914": 102, "9460": 102, "102482949956529": 102, "9470": 102, "063297669512416": 102, "9480": 102, "0252434784853017": 102, "9490": 102, "9868577722503187": 102, "9500": 102, "9488215320988704": 102, "9510": 102, "9096824553737402": 102, "9520": 102, "8701733340736184": 102, "9530": 102, "831952478052563": 102, "9540": 102, "7929414918087792": 102, "9550": 102, "7541796037663964": 102, "9560": 102, "7157057708277388": 102, "9570": 102, "6768008927691058": 102, "9580": 102, "6384191378671105": 102, "9590": 102, "6002682645079718": 102, "9600": 102, "5615134934584298": 102, "9610": 102, "5221114969898608": 102, "9620": 102, "4828987438812562": 102, "9630": 102, "4437558235037746": 102, "9640": 102, "4051026734079044": 102, "9650": 102, "3662453846610272": 102, "9660": 102, "3272028867749224": 102, "9670": 102, "2884510887445795": 102, "9680": 102, "2497178306264336": 102, "9690": 102, "2105213476285333": 102, "9700": 102, "1715271055083913": 102, "9710": 102, "1332646248637732": 102, "9720": 102, "0942215036462843": 102, "9730": 102, "0553480081666056": 102, "9740": 102, "016130151689907": 102, "9750": 102, "9768296877543131": 102, "9760": 102, "9376753959499444": 102, "9770": 102, "89845381056396": 102, "9780": 102, "859243017032835": 102, "9790": 102, "8207270714308782": 102, "9800": 102, "7820379928666717": 102, "9810": 102, "7432022002372803": 102, "9820": 102, "7040424924761107": 102, "9830": 102, "6648244816555993": 102, "9840": 102, "6255281805022923": 102, "9850": 102, "5863380250591917": 102, "9860": 102, "5474204523810048": 102, "9870": 102, "5084261831420763": 102, "9880": 102, "4694985165769766": 102, "9890": 102, "43077565276104246": 102, "9900": 102, "39161034063859423": 102, "9910": 102, "352527575584283": 102, "9920": 102, "31338711707822625": 102, "9930": 102, "27434577946696626": 102, "9940": 102, "23539726451129037": 102, "9950": 102, "19626321385254214": 102, "9960": 102, "15725288908165844": 102, "9970": 102, "11804781993150361": 102, "9980": 102, "07872421803598764": 102, "9990": 102, "039376371257653725": 102, "pvals_bonferroni": 102, "neg_log_pvals_bonferroni": 102, "neg_log_pvals_bonferroni_unmask": 102, "1107": [102, 105, 106], "dataconversionwarn": [102, 105, 106], "mean_fmri_img": 102, "neg_log_pvals_bonferroni_data": 102, "1008": [102, 109, 111, 179], "plot_haxby_mass_univari": [102, 109], "fetch_neurovault": [103, 107, 114, 128, 135, 139, 146, 222, 223, 224], "licens": [103, 107, 191], "port": 103, "filo": 103, "neurovault_analysi": 103, "load_mni152_brain_mask": [103, 125, 141, 146, 211], "nv_data": [103, 107], "max_imag": [103, 107, 114, 221], "fetch_neurosynth_word": [103, 114, 221, 223], "term_weight": 103, "word_frequ": [103, 114, 221, 223], "vocabulari": [103, 114, 166, 221, 223], "total_scor": 103, "ntop": 103, "term_idx": 103, "1307": 103, "insula": 103, "nreshap": 103, "deprecationwarn": [103, 307, 308, 309, 310, 311, 312, 386], "fail": [103, 135, 144, 146, 160, 161, 221, 223, 386], "failur": [103, 127, 146, 161, 316], "is_us": 103, "image_path": 103, "images_meta": [103, 107, 114, 221, 222, 223, 224], "collection_id": [103, 107, 114, 221, 223], "fast_ica": 103, "ica_map": 103, "term_weights_for_compon": 103, "components_": [103, 130, 146, 248, 249], "ic_map": 103, "ic_term": 103, "flip": [103, 126, 146, 190], "ic_threshold": 103, "ic_img": 103, "important_term": 103, "neurolog": [103, 163, 166, 188], "plot_ica_neurovault": [103, 109], "advis": [104, 161, 171, 212, 316, 384], "unsupervis": [104, 166, 248, 249, 263, 276, 383, 385], "latent": [104, 166], "sens": [104, 153, 241, 242, 243, 244, 253, 255, 256, 326], "component_img": 104, "plot_ica_resting_st": [104, 109], "pvals_anova": [105, 106], "neg_log_pvals_anova": [105, 106], "neg_log_pvals_anova_unmask": [105, 106], "fwe": [105, 322], "tfce": [105, 144, 146, 166, 278, 322], "ols_output": 105, "neg_log_pvals_tfce_unmask": 105, "logp_max_tfc": [105, 278, 322], "10815": 105, "062522888184": 105, "0705213546753": 105, "53287625312805": 105, "8142360051473": 105, "90995979309082": 105, "9283275604248": 105, "24302570025128": 105, "61944348471505": 105, "99354434013367": 105, "4918393029107": 105, "95386219024658": 105, "86952098933133": 105, "991783618927": 105, "28454068990854": 105, "43046876362392": 105, "507097244262695": 105, "829270362854004": 105, "01587378277498": 105, "304924090703327": 105, "66748353054649": 105, "5min": 105, "amax": 105, "images_to_plot": 105, "i_col": 105, "new_titl": 105, "sig": 105, "plot_localizer_mass_univariate_method": [105, 106, 109], "masked_pv": 106, "785": [106, 109], "plot_localizer_simple_analysi": [106, 109], "fetch_neurovault_id": [107, 114, 128, 146, 221, 222, 224], "stop_go_image_id": 107, "3041": 107, "3042": [107, 142, 146], "2676": 107, "2675": 107, "2818": 107, "2834": 107, "queri": [107, 221, 223, 240], "cognitive_paradigm_cogatla": 107, "contrast_definit": 107, "succ": 107, "map_typ": [107, 221], "image_id": [107, 114, 223], "collections_meta": [107, 114, 221, 222, 223, 224], "nplot": 107, "absolute_path": 107, "t_to_z": 107, "t_score": 107, "deg_of_freedom": 107, "sf": 107, "z_valu": 107, "mean_map": 107, "z_img": 107, "current_collect": 107, "ncomput": 107, "this_meta": 107, "ncollect": 107, "t_img": 107, "number_of_subject": 107, "meta_analysis_img": 107, "sqrt": [107, 125, 146, 184, 185, 255, 256], "plot_neurovault_meta_analysi": [107, 109], "downsampl": [108, 151, 172, 207, 358], "10k": 108, "sidecar": 108, "json_fil": 108, "repetitiontim": 108, "z_scores_right": 108, "z_scores_left": 108, "contrast_valu": 108, "hemipsher": 108, "accumul": [108, 415], "z_score_left": 108, "az_scores_right": 108, "popul": [108, 111, 147, 162, 179, 218], "ttest_1samp": 108, "t_left": 108, "pval_left": 108, "t_right": 108, "pval_right": 108, "z_val_left": 108, "z_val_right": 108, "plot_surface_bids_analysi": [108, 109], "auto_examples_07_advanc": 109, "permiss": [110, 135, 146, 161], "auto_examples_python": 110, "auto_examples_jupyt": 110, "arrang": [111, 133, 146, 333, 335, 338, 352, 357, 362, 365, 370, 371, 372, 415], "alphabet": [111, 135, 146, 171], "bib": 111, "dimitri": [111, 120, 132, 146, 160, 179, 182, 216, 386], "samara": [111, 160, 179, 182, 386], "medic": [111, 151, 159, 178, 196, 211, 386], "septemb": [111, 126, 141, 146, 386], "01093944": [111, 386], "elena": [111, 189], "erik": [111, 189], "erhardt": [111, 189], "eswar": [111, 189], "damaraju": [111, 189], "william": [111, 189, 218, 231, 250, 254], "gruner": [111, 189], "judith": [111, 189], "segal": [111, 189], "roger": [111, 189, 230], "silva": [111, 189], "havlicek": [111, 189], "sriniva": [111, 189], "rachakonda": [111, 189], "jill": [111, 189, 192, 218], "fri": [111, 189], "ravi": [111, 189], "kalyanam": [111, 189], "andrew": [111, 186, 189, 191, 211], "arvind": [111, 189], "caprihan": [111, 189], "jessica": [111, 189, 199, 204, 205], "tom": [111, 140, 146, 189], "eichel": [111, 189], "steven": [111, 189, 204, 205, 206, 304, 305], "adelsheim": [111, 189], "angela": [111, 189, 199], "bryan": [111, 189], "juan": [111, 189], "bustillo": [111, 189], "clark": [111, 158, 189], "sarah": [111, 189], "feldstein": [111, 189], "ew": [111, 189], "francesca": [111, 189], "filbei": [111, 189], "corei": [111, 189], "ford": [111, 189], "kent": [111, 189], "hutchison": [111, 189], "rex": [111, 189], "jung": [111, 189], "kiehl": [111, 189], "piyadasa": [111, 189], "kodituwakku": [111, 189], "yuko": [111, 189], "komesu": [111, 189], "mayer": [111, 189], "godfrei": [111, 189], "pearlson": [111, 189], "john": [111, 129, 146, 158, 160, 189, 204, 225, 231, 322], "phillip": [111, 189], "joseph": [111, 189, 204], "sadek": [111, 189], "ursina": [111, 189], "teuscher": [111, 189], "robert": [111, 140, 146, 160, 189, 211, 236], "vinc": [111, 189], "calhoun": [111, 189, 231], "frontiersin": [111, 186, 189, 221, 223, 231], "fnsy": [111, 189], "00002": [111, 189], "marti": [111, 201, 322], "onlinelibrari": [111, 191, 201, 230, 281, 322, 397], "wilei": [111, 191, 201, 230, 255, 256, 281, 322, 397], "1111": [111, 322], "1467": [111, 322], "842x": [111, 322], "00156": [111, 322], "arxiv": [111, 158, 160, 179, 182, 191, 192, 198, 199, 201, 202, 204, 210, 218, 225, 230, 281, 322, 397], "luca": [111, 159], "baldassarr": [111, 159], "janaina": [111, 159], "mourao": [111, 159, 168], "miranda": [111, 159, 168], "massimiliano": [111, 159], "pontil": [111, 159], "intern": [111, 159, 160, 161, 163, 180, 190, 249, 290, 292], "workshop": [111, 159, 190], "www0": [111, 159], "ucl": [111, 159, 228, 229], "ac": [111, 159, 199, 211, 228, 229, 236], "uk": [111, 159, 199, 228, 229], "staff": [111, 159], "neurosparse_prni": [111, 159], "1109": [111, 159, 190, 385], "prni": [111, 159, 190], "yashar": [111, 304, 305, 398], "behzadi": [111, 287, 304, 305, 398], "khale": [111, 304, 305, 398], "restom": [111, 304, 305, 398], "joi": [111, 304, 305, 398], "liau": [111, 304, 305, 398], "liu": [111, 198, 202, 304, 305, 398], "perfus": [111, 304, 305, 398], "sciencedirect": [111, 155, 158, 159, 188, 190, 193, 196, 200, 206, 211, 216, 219, 220, 236, 243, 244, 304, 305, 322, 358, 398], "pii": [111, 155, 158, 159, 188, 190, 193, 196, 200, 206, 211, 216, 219, 220, 236, 243, 244, 304, 305, 322, 358, 398], "s1053811907003837": [111, 304, 305, 398], "mine": [111, 168, 190], "hierarchi": [111, 190], "pedro": [111, 190], "rosa": [111, 190], "neto": [111, 190], "lyttelton": [111, 190], "habib": [111, 190], "benali": [111, 190], "alan": [111, 190, 211, 236], "evan": [111, 140, 146, 190, 198, 201, 211, 236], "bootstrap": [111, 190], "1126": [111, 190, 204, 210], "1139": [111, 190], "s1053811910002697": [111, 190], "lorrain": [111, 158], "tyler": [111, 158], "semant": [111, 140, 142, 146, 158], "perirhin": [111, 158], "4766": [111, 158], "4775": [111, 158], "jneurosci": [111, 158], "1523": [111, 129, 146, 158], "2828": [111, 158], "loui": [111, 211, 236], "collin": [111, 188, 211, 236], "zijdenbo": [111, 211], "wim": [111, 211], "baar": [111, 211], "\u00e9": [111, 211, 216], "anim": [111, 211], "insect": [111, 211], "attila": [111, 211], "kuba": [111, 211], "\u0161": [111, 211], "\u00e1": [111, 211], "amal": [111, 211], "todd": [111, 158, 211], "pokropek": [111, 211], "editor": [111, 178, 211], "berlin": [111, 178, 196, 211], "heidelberg": [111, 178, 196, 211], "springer": [111, 178, 196, 211], "cameron": [111, 191, 196, 231], "jame": [111, 191, 210, 255, 256], "paul": [111, 191, 218], "holtzheim": [111, 191], "iii": [111, 191], "xiaop": [111, 191], "hu": [111, 191], "helen": [111, 191], "mayberg": [111, 191], "1914": [111, 191], "1928": [111, 191], "1002": [111, 191, 201, 230, 281, 397], "hbm": [111, 191, 281, 397], "21333": [111, 191], "kamalak": [111, 193], "ga\u00ebl": [111, 155, 193, 196, 243, 244], "antonia": [111, 193], "machlouzarid": [111, 193], "shalit": [111, 193], "krzysztof": [111, 193, 221, 223], "demian": [111, 118, 132, 146, 193], "wassermann": [111, 118, 132, 146, 193], "117126": [111, 193], "s1053811920306121": [111, 193], "davidson": [111, 255, 256], "mackinnon": [111, 255, 256], "econometr": [111, 250, 254, 255, 256], "theori": [111, 166, 219, 255, 256], "univ": [111, 255, 256], "york": [111, 255, 256], "ny": [111, 255, 256], "isbn": [111, 250, 254, 255, 256], "978": [111, 255, 256], "512372": [111, 255, 256], "gso": [111, 255, 256], "gbv": [111, 255, 256], "de": [111, 132, 135, 146, 255, 256, 271], "cmd": [111, 255, 256], "srcha": [111, 255, 256], "srt": [111, 255, 256], "yop": [111, 255, 256], "ikt": [111, 255, 256], "trm": [111, 255, 256], "ppn": [111, 255, 256], "393847152": [111, 255, 256], "sourceid": [111, 255, 256], "fbw_bibsonomi": [111, 255, 256], "am": [111, 192], "halgren": [111, 192, 200], "cerebr": [111, 163, 192, 198, 202, 204, 216, 218], "supplement": [111, 192, 211, 236], "s151": [111, 192], "s1053": [111, 192, 211, 236], "8119": [111, 192, 211, 236], "71561": [111, 192], "christoph": [111, 129, 132, 146, 192, 200], "bruce": [111, 192, 198, 200, 202, 230], "ander": [111, 192, 200, 230], "eric": [111, 129, 132, 133, 135, 146, 192, 200, 204], "s1053811910008542": [111, 200], "ga": [111, 159], "\u00eb": [111, 159], "graphnet": [111, 159], "stanford": [111, 159], "june": [111, 125, 128, 131, 140, 146, 159, 160], "2015": [111, 114, 115, 116, 117, 118, 119, 120, 121, 146, 159, 179, 182, 196, 216, 218, 221, 223, 304, 305], "01147731": [111, 159], "\u00fc": [111, 159], "bingen": [111, 159], "germani": [111, 159], "00991743": [111, 159], "nico": [111, 204, 206], "dosenbach": [111, 123, 146, 204, 206], "binyam": [111, 204], "alexand": [111, 186, 198, 204, 205], "cohen": [111, 204, 205], "damien": [111, 204], "fair": [111, 152, 204], "church": [111, 204, 205], "nelson": [111, 204, 205], "gagan": [111, 204, 205], "wig": [111, 204, 205], "alecia": [111, 204, 205], "vogel": [111, 135, 146, 204, 205], "christina": [111, 204], "lessov": [111, 204], "schlaggar": [111, 204, 205, 206, 304, 305], "kelli": [111, 204, 205, 211, 231, 236, 304, 305], "ann": [111, 204, 205], "barn": [111, 204, 205, 304, 305], "dubi": [111, 204], "feczko": [111, 204], "rebecca": [111, 204, 207], "coalson": [111, 204], "pruett": [111, 204], "deanna": [111, 204, 206, 218], "barch": [111, 204, 218], "petersen": [111, 204, 205, 206, 304, 305], "bradlei": [111, 204, 205, 206, 218, 304, 305], "5997": [111, 204], "sciencemag": [111, 204, 210], "1194144": [111, 204], "duchi": [111, 160], "stephen": [111, 160, 199, 218, 231, 278, 322], "gould": [111, 160], "daphn": [111, 160], "koller": [111, 160], "subgradi": [111, 160], "1206": [111, 160], "3249": [111, 160], "joset": [111, 158], "etzel": [111, 158], "jeffrei": [111, 158, 186], "zack": [111, 158], "braver": [111, 158], "promis": [111, 158], "pitfal": [111, 153, 158], "s1053811913002917": [111, 158], "filippini": [111, 199, 218], "macintosh": [111, 218], "morgan": [111, 218], "hough": [111, 218], "gui": [111, 218], "goodwin": [111, 218], "giovanni": [111, 218], "frisoni": [111, 218], "matthew": [111, 218, 231, 322], "christian": [111, 129, 132, 146, 199, 218, 304, 305], "beckmann": [111, 199, 218, 304, 305], "clare": [111, 199, 218, 231], "mackai": [111, 199, 218], "carrier": [111, 218], "apo": [111, 218], "\u03b54": [111, 218], "allel": [111, 218], "proceed": [111, 158, 162, 199, 218, 245, 305], "nation": [111, 158, 199, 218, 245, 305], "academi": [111, 158, 199, 218, 245, 305], "7209": [111, 218], "7214": [111, 218], "pna": [111, 158, 199, 218, 305], "1073": [111, 158, 199, 218, 305], "0811879106": [111, 218], "sereno": [111, 230], "tootel": [111, 230], "intersubject": [111, 230], "28sici": [111, 201, 230], "291097": [111, 201, 230], "0193": [111, 201, 230], "281999": [111, 230], "3a4": [111, 201, 230], "3c272": [111, 230], "3aaid": [111, 201, 230], "hbm10": [111, 230], "3e3": [111, 201, 230], "3b2": [111, 201, 230], "sici": [111, 201, 230], "1097": [111, 201, 230], "aid": [111, 201, 230], "van": [111, 114, 192, 218, 221, 223, 304, 305], "der": [111, 192], "kouw": [111, 192], "florent": [111, 192], "s\u00e9gonn": [111, 192], "salat": [111, 192], "evelina": [111, 192], "busa": [111, 192], "larri": [111, 192], "seidman": [111, 192], "goldstein": [111, 192], "kennedi": [111, 192], "vern": [111, 192], "cavi": [111, 192], "niko": [111, 192], "makri": [111, 192], "rosen": [111, 192], "bhg087": [111, 192], "academ": [111, 192, 198, 218], "oup": [111, 192, 198, 218], "1193353": [111, 192], "boyd": 111, "edinburgh": 111, "fletcher": [111, 186], "sarang": 111, "joshi": 111, "riemannian": 111, "diffus": [111, 153, 166], "tensor": 111, "s0165168406001691": 111, "sigpro": 111, "2005": [111, 305], "vladimir": [111, 211, 236], "fonov": [111, 211, 236], "botteron": [111, 211, 236], "almli": [111, 211, 236], "mckinstri": [111, 211, 236], "unbias": [111, 153, 211, 236], "pediatr": [111, 211, 236], "s1053811910010062": [111, 211, 236], "rc": [111, 211, 236], "cr": [111, 211, 236], "dl": [111, 211, 236], "nonlinear": [111, 211, 236], "birth": [111, 211, 236], "adulthood": [111, 211, 236], "s102": [111, 211, 236], "70884": [111, 211, 236], "fox": [111, 199, 201, 305], "snyder": [111, 304, 305], "justin": [111, 305], "maurizio": [111, 305], "corbetta": [111, 305], "essen": [111, 114, 218, 221, 223, 305], "marcu": [111, 158, 218, 225, 305], "raichl": [111, 305], "9673": [111, 305], "9678": [111, 305], "0504136102": [111, 305], "freedman": [111, 322], "lane": [111, 144, 146, 322], "nonstochast": [111, 322], "busi": [111, 322], "econom": [111, 322], "1983": [111, 322], "tandfonlin": [111, 322], "07350015": [111, 322], "10509354": [111, 322], "holm": [111, 198, 281, 397], "worslei": [111, 281, 397], "frith": [111, 281, 397], "frackowiak": [111, 281, 397], "1994": [111, 281, 397], "460020402": [111, 281, 397], "gabriel": [111, 221, 223], "rivera": [111, 114, 221, 223], "yannick": [111, 115, 146, 155, 216, 221, 223, 243, 244], "schwarz": [111, 221, 223], "satrajit": [111, 221, 223], "ghosh": [111, 114, 221, 223], "camil": [111, 221, 223], "maumet": [111, 114, 221, 223], "vanessa": [111, 221, 223], "sochat": [111, 114, 221, 223], "nichol": [111, 114, 166, 218, 221, 223, 278, 316, 322], "tal": [111, 114, 173, 221, 223, 312], "yarkoni": [111, 114, 221, 223], "marguli": [111, 114, 221, 223], "neuroinformat": [111, 221, 223], "fninf": [111, 114, 221, 223], "00008": [111, 114, 221, 223], "philadelphia": [111, 159], "00839984": [111, 159], "educ": [111, 218, 225, 250, 254, 379], "fifth": [111, 212, 250, 254], "edit": [111, 140, 146, 169, 250, 254], "066189": [111, 250, 254], "stern": [111, 250, 254], "nyu": [111, 250, 254], "edu": [111, 199, 202, 225, 250, 254], "wgreen": [111, 250, 254], "econometricanalysi": [111, 250, 254], "htm": [111, 250, 254], "logan": [111, 159], "grosenick": [111, 159], "brad": [111, 159], "klingenberg": [111, 159], "kiefer": [111, 159], "katovich": [111, 159], "brian": [111, 159, 231, 281, 397], "knutson": [111, 159], "s1053811912012487": [111, 159], "ida": [111, 210], "gobbini": [111, 210], "maura": [111, 210], "furei": [111, 210], "alumit": [111, 210], "ishai": [111, 210], "jennif": [111, 210], "schouten": [111, 210], "pietro": [111, 210], "pietrini": [111, 210], "5539": [111, 210], "1063736": [111, 210], "honorio": [111, 160, 179, 182], "tommi": [111, 179, 182], "jaakkola": [111, 179, 182], "1207": [111, 160, 179, 182], "4255": [111, 160, 179, 182], "jona": [111, 129, 146, 385], "rena": [111, 135, 146, 150, 155, 166, 167, 243, 244, 384], "tran": [111, 188, 385], "anal": [111, 385], "mach": [111, 385], "intel": [111, 385], "tpami": [111, 385], "2815524": [111, 385], "schwartz": [111, 114, 115, 146, 155, 216, 243, 244], "scalabl": [111, 155, 243, 244], "s1053811917308182": [111, 155, 243, 244], "koji": [111, 219], "complementari": [111, 219], "neuropsychologia": [111, 219], "s0028393211005070": [111, 219], "thorsten": [111, 158], "kahnt": [111, 158], "grueschow": [111, 158], "speck": [111, 158], "dylan": [111, 158, 231], "perceptu": [111, 158], "s0896627311002960": [111, 158], "nikolau": [111, 158, 245], "kriegeskort": [111, 158, 168, 245], "rainer": [111, 158, 245], "goebel": [111, 158, 245], "peter": [111, 158, 199, 201, 245], "bandettini": [111, 158, 245], "3863": [111, 158, 245], "3868": [111, 158, 245], "0600244103": [111, 158], "laird": [111, 199], "mickl": [111, 199], "kimberli": [111, 199], "rai": [111, 199], "rees": [111, 199], "mckai": [111, 199], "glahn": [111, 199], "4022": [111, 199], "4037": [111, 199], "1162": [111, 199, 225], "jocn": [111, 199, 225], "_a": [111, 199], "_00077": [111, 199], "mit": [111, 198, 199, 225], "1777164": [111, 199], "jocn_a_00077": [111, 199], "lancast": [111, 201], "rainei": [111, 201], "summerlin": [111, 201], "freita": [111, 201], "toga": [111, 201], "mazziotta": [111, 201], "autom": [111, 114, 168, 188, 201, 221, 223], "preliminari": [111, 201], "forward": [111, 201], "1997": [111, 135, 146, 201], "281997": [111, 201], "3c238": [111, 201], "hbm6": [111, 201], "jack": [111, 154, 201], "woldorff": [111, 201], "lawrenc": [111, 201], "parson": [111, 201], "mario": [111, 201], "liotti": [111, 201], "catarina": [111, 201], "laci": [111, 201], "kochunov": [111, 201], "dan": [111, 132, 135, 146, 201], "nickerson": [111, 201], "shawn": [111, 201], "mikiten": [111, 201], "talairach": [111, 129, 146, 165, 201], "28200007": [111, 201], "3a3": [111, 201], "3c120": [111, 201], "hbm30": [111, 201], "200007": [111, 201], "lindquist": [111, 132, 146, 281, 397], "stephan": [111, 281, 397], "geuter": [111, 281, 397], "tor": [111, 114, 221, 223, 281, 397], "wager": [111, 114, 221, 223, 281, 397], "caffo": [111, 281, 397], "modular": [111, 161, 281, 397], "reintroduc": [111, 281, 397], "biorxiv": [111, 281, 397], "407676": [111, 281, 397], "1101": [111, 281, 397], "traci": [111, 225], "jami": [111, 225], "parker": [111, 225], "csernanski": [111, 225], "morri": [111, 225], "randi": [111, 198, 202, 225], "buckner": [111, 198, 202, 225], "nondement": [111, 225], "dement": [111, 225], "1498": [111, 225], "1507": [111, 225], "1756878": [111, 225], "1328": [111, 159], "februari": [111, 115, 116, 122, 123, 127, 137, 146, 159, 169], "00563468": [111, 159], "tmi": [111, 159], "2113378": [111, 159], "yoichi": [111, 220], "hajim": [111, 220], "okito": [111, 220], "masa": [111, 220], "aki": [111, 132, 146, 220], "yusuk": [111, 220], "hiroki": [111, 220], "norihiro": [111, 220], "sadato": [111, 220], "yukiyasu": [111, 220], "s0896627308009586": [111, 220], "dougla": [111, 255, 256], "montgomeri": [111, 255, 256], "peck": [111, 255, 256], "geoffrei": [111, 255, 256], "vine": [111, 255, 256], "ed": [111, 255, 256], "son": [111, 255, 256], "0471754951": [111, 255, 256], "naselari": [111, 154], "kendrick": [111, 154], "kai": [111, 154], "shinji": [111, 154], "nishimoto": [111, 154], "gallant": [111, 154], "20691790": [111, 154], "pmid": [111, 154, 198, 202], "pubm": [111, 154, 188, 304, 305], "ncbi": [111, 154, 304, 305], "nlm": [111, 154, 304, 305], "jare": [111, 186], "nielsen": [111, 186], "brandon": [111, 186], "zielinski": [111, 186], "nichola": [111, 186], "lang": [111, 186, 188], "erin": [111, 186], "bigler": [111, 186], "janet": [111, 186], "lainhart": [111, 186], "multisit": [111, 186], "autism": [111, 186], "fnhum": [111, 186], "00599": [111, 186], "kate": [111, 199, 231], "stanlei": [111, 231], "colcomb": [111, 231], "maarten": [111, 231, 304, 305], "menn": [111, 231, 304, 305], "melissa": [111, 231], "benedict": [111, 231], "moreno": [111, 216, 231], "laura": [111, 231], "panek": [111, 231], "shaquanna": [111, 231], "brown": [111, 231], "zavitz": [111, 231], "qingyang": [111, 231], "sharad": [111, 231], "sikka": [111, 231], "gutman": [111, 231], "saroja": [111, 231], "bangaru": [111, 231], "rochel": [111, 231], "tziona": [111, 231], "schlachter": [111, 231], "stephani": [111, 231], "kamiel": [111, 231], "ayesha": [111, 231], "anwar": [111, 231], "caitlin": [111, 231], "hinz": [111, 231], "kaplan": [111, 231], "anna": [111, 231], "rachlin": [111, 231], "samantha": [111, 231], "adelsberg": [111, 231], "cheung": [111, 231], "ranjit": [111, 231], "khanuja": [111, 231], "chaogan": [111, 231], "yan": [111, 231], "courtnei": [111, 231], "margaret": [111, 231], "king": [111, 129, 132, 146, 231], "wood": [111, 231], "cox": [111, 231], "adriana": [111, 231], "dimartino": [111, 231], "eva": [111, 231], "petkova": [111, 231], "philip": [111, 231], "reiss": [111, 231], "nanci": [111, 231], "duan": [111, 231], "dawn": [111, 231], "thompsen": [111, 231], "bharat": [111, 231], "biswal": [111, 231], "barbara": [111, 231], "coffei": [111, 231], "hoptman": [111, 231], "javitt": [111, 231], "nunzio": [111, 231], "pomara": [111, 231], "sidti": [111, 231], "harold": [111, 231], "koplewicz": [111, 231], "francisco": [111, 231], "castellano": [111, 231], "bennett": [111, 231], "leventh": [111, 231], "milham": [111, 231], "reilli": [111, 218], "valentina": [111, 218], "tomassini": [111, 218], "narend": [111, 218], "ramnani": [111, 218], "heidi": [111, 218], "johansen": [111, 218], "berg": [111, 218], "zone": [111, 218], "953": [111, 218], "965": [111, 218], "bhp157": [111, 218], "17303287": [111, 218], "wolfgang": [111, 197], "amanda": [111, 197], "nili": [111, 197], "tyszka": [111, 197], "vivo": [111, 197], "nuclei": [111, 197], "180063": [111, 197], "1038": [111, 197, 208, 226], "sdata": [111, 197, 208, 226], "bastien": [111, 216], "antoinett": [111, 216], "julien": [111, 216], "serr": [111, 216], "deni": [111, 216], "le": [111, 216], "bihan": [111, 216], "stanisla": [111, 216], "congdon": [111, 208, 226], "triplett": [111, 208, 226], "karlsgodt": [111, 208, 226], "sabb": [111, 208, 226], "freimer": [111, 208, 226], "london": [111, 166, 208, 226], "cannon": [111, 208, 226], "bilder": [111, 208, 226], "phenom": [111, 208, 226], "160110": [111, 208, 226], "decemb": [111, 120, 121, 135, 146, 208, 226], "mitig": [111, 358], "s1053811916303871": [111, 358], "2142": [111, 304, 305], "2154": [111, 304, 305], "22019881": [111, 304, 305], "pmc3254728": [111, 304, 305], "timothi": [111, 198, 205, 218, 304], "laumann": [111, 198, 205, 304], "fran": [111, 205], "miezin": [111, 205], "anish": [111, 304], "mitra": [111, 304], "s1053811913009117": [111, 304], "raimon": [111, 304, 305], "pruim": [111, 304, 305], "daan": [111, 304, 305], "rooij": [111, 304, 305], "alberto": [111, 304, 305], "llera": [111, 304, 305], "jan": [111, 115, 146, 304, 305], "buitelaar": [111, 304, 305], "aroma": [111, 148, 304, 305], "hilari": [111, 207], "richardson": [111, 207], "grace": [111, 207], "lisandrelli": [111, 207], "alexa": [111, 207], "riobueno": [111, 207], "naylor": [111, 207], "sax": [111, 207], "social": [111, 207], "twelv": [111, 207], "livio": [111, 258], "wouter": [111, 258], "aldo": [111, 258], "jell": [111, 258], "novemb": [111, 129, 132, 135, 138, 146, 169, 258], "schaefer": [111, 198], "ru": [111, 198], "kong": [111, 198], "gordon": [111, 198], "nian": [111, 198], "zuo": [111, 198], "avram": [111, 198], "yeo": [111, 198, 202, 354], "3095": [111, 198], "3114": [111, 198], "bhx179": [111, 198], "25696344": [111, 198], "_schaeferfullsupp": [111, 198], "seitzman": [111, 135, 146, 206], "caterina": [111, 206], "gratton": [111, 206], "marek": [111, 206], "ryan": [111, 135, 146, 206], "raut": [111, 206], "116290": [111, 206], "s105381191930881x": [111, 206], "zarrar": 111, "shehzad": 111, "gee": 111, "kristin": 111, "gotim": 111, "lucina": 111, "q": [111, 163, 179, 259, 263, 276, 279, 395], "uddin": 111, "sang": 111, "han": 111, "lee": 111, "ami": 111, "krain": 111, "xavier": 111, "unconstrain": 111, "2209": 111, "2229": 111, "bhn256": 111, "17300841": 111, "sm": [111, 218], "glasser": [111, 218], "salimi": [111, 218], "khorshidi": [111, 218], "duff": [111, 218], "dc": [111, 218], "mw": [111, 218], "woolrich": [111, 218], "jenkinson": [111, 218], "cf": [111, 173, 218], "rfmri": [111, 218], "ohbm": [111, 131, 146, 218], "annual": [111, 218], "meet": [111, 144, 146, 218], "free": [111, 154, 161, 163, 166, 278, 322], "address": [111, 163, 165, 169, 278, 322], "localis": [111, 278, 322], "diego": [111, 218], "vidaurr": [111, 218], "ej": [111, 218], "behren": [111, 218], "kamil": [111, 218], "ugurbil": [111, 218], "karla": [111, 199, 218], "miller": [111, 199, 218], "demograph": [111, 218], "1565": [111, 218], "1567": [111, 218], "watkin": [111, 199], "roberto": [111, 125, 135, 146, 199], "toro": [111, 199], "textquoteright": [111, 199], "architectur": [111, 150, 199], "13040": [111, 199], "13045": [111, 199], "0905267106": [111, 199], "mccarthi": [111, 218], "emma": [111, 218], "clair": [111, 218], "xu": [111, 218], "horton": [111, 218], "eugen": [111, 218], "\u00e2": [111, 218], "mil": [111, 218], "u\u011furbil": [111, 218], "humanconnectom": [111, 218], "storag": [111, 173, 218, 222, 224], "media": [111, 218], "s500": [111, 218], "hcp500_megatrawl_april2015": [111, 218], "fenna": [111, 198, 202], "krienen": [111, 198, 202], "jorg": [111, 198, 202], "sepulcr": [111, 198, 202], "mert": [111, 198, 202], "sabuncu": [111, 198, 202], "danial": [111, 198, 202], "lashkari": [111, 198, 202], "marisa": [111, 198, 202], "hollinshead": [111, 198, 202], "joshua": [111, 137, 146, 198, 202], "roffman": [111, 198, 202], "jordan": [111, 198, 202], "smoller": [111, 198, 202], "lilla": [111, 198, 202], "z\u00f6llei": [111, 198, 202], "polimeni": [111, 198, 202], "hesheng": [111, 198, 202], "neurophysiologi": [111, 198, 202], "1125": [111, 198, 202], "1165": [111, 198, 202], "21653723": [111, 198, 202], "1152": [111, 198, 202], "jn": [111, 198, 202], "00338": [111, 198, 202], "tzourio": [111, 188], "mazoy": [111, 188], "landeau": [111, 188], "papathanassi": [111, 188], "crivello": [111, 188], "etard": [111, 188], "delcroix": [111, 188], "joliot": [111, 188], "macroscop": [111, 188], "2002": [111, 188], "s1053811901909784": [111, 188], "0978": [111, 188], "flore": [111, 178], "baronnet": [111, 178], "andrea": [111, 178], "kleinschmidt": [111, 178], "fillard": [111, 178], "stroke": [111, 178], "patient": [111, 166, 178], "tianzi": [111, 178], "jiang": [111, 178], "nassir": [111, 178], "navab": [111, 178], "josien": [111, 178], "pluim": [111, 178], "viergev": [111, 178], "assist": [111, 178], "intervent": [111, 178], "miccai": [111, 147, 178], "cn2h9c": [111, 178], "spontan": [111, 196], "5071": [111, 179], "bio": [111, 179], "s1053811913003340": [111, 196], "gerard": [111, 322], "ridgwai": [111, 322], "webster": [111, 322], "s1053811914000913": [111, 322], "synthesi": [111, 114, 160, 221, 223], "adelstein": 111, "donald": 111, "klein": 111, "retest": 111, "2163": 111, "2177": [111, 135, 146], "s1053811909011525": 111, "di": 111, "martino": 111, "1432": 111, "1445": 111, "s1053811909010167": 111, "papadopoulo": [111, 120, 132, 146, 216], "orfano": [111, 120, 132, 146, 216], "antonio": [111, 216], "frouin": [111, 216], "brainom": [111, 132, 146, 216], "s1053811915008745": [111, 216], "abstract": [112, 307], "knowledg": [112, 148, 163, 312], "beaten": 112, "mask_face_littl": [113, 171, 210], "mask_house_littl": [113, 171, 210], "comfort": [113, 161], "plenti": 113, "hesit": [113, 161, 168], "rarr": [113, 173], "tube": 113, "clever": [113, 160], "resp": 113, "brighter": 113, "scratch": 113, "elementari": 113, "brows": [114, 142, 146], "introduc": [114, 125, 135, 144, 146, 153, 154, 158, 161, 173, 179], "upload": 114, "modal": [114, 153, 161, 229, 301], "went": 114, "webpag": 114, "brainpedia": 114, "1952": [114, 135, 146], "brainpedia_subset": 114, "32015": 114, "32016": 114, "criteria": [114, 161, 166, 186, 221], "collection_term": [114, 221], "collection_metadata": [114, 221], "everi": [114, 147, 148, 152, 153, 154, 158, 160, 161, 163, 173, 180, 194, 195, 221, 310, 357, 362, 365, 370, 371, 372, 374, 389, 390, 416], "image_term": [114, 221], "snippet": 114, "is_valid": [114, 135, 146], "treat": 114, "cbf": 114, "cbv": 114, "express": [114, 120, 146, 161, 166, 171, 221, 246, 247, 261, 263, 291, 370], "ignorecas": 114, "special": [114, 135, 146], "isnul": [114, 221], "notnul": [114, 221], "notequ": [114, 221], "greaterorequ": [114, 221], "greaterthan": [114, 221], "lessorequ": [114, 221], "lessthan": [114, 221], "notin": [114, 221], "notcontain": [114, 221], "resultfilt": [114, 221], "OR": 114, "xor": 114, "NOT": 114, "conveni": [114, 172, 173, 207, 367], "collection_filt": [114, 221], "callabl": [114, 142, 146, 182, 221, 241, 242, 243, 244, 245], "image_filt": [114, 221], "anyth": [114, 160, 161], "lambda": 114, "disabl": [114, 133, 135, 139, 146, 160, 383], "rewritten": 114, "suppos": [114, 160, 168, 169, 171, 173, 255, 256], "weird": 114, "small_meta_imag": 114, "platform": [114, 128, 146, 169], "unless": [114, 160, 161, 226, 278, 322, 367], "vectorize_word": [114, 221, 223], "kj": 114, "ss": 114, "vv": 114, "te": 114, "ra": [114, 295], "front": [114, 250, 253], "neuroinform": 114, "contributor": [115, 116, 118, 119, 161, 169], "git": [115, 116, 118, 119, 120, 122, 125, 146, 161, 168, 169], "shortlog": [115, 116, 118, 119, 120, 122, 125, 146], "jaqu": [115, 146], "grobler": [115, 146], "ronald": [115, 146], "phlypo": [115, 146], "\u00f3scar": [115, 118, 120, 122, 146], "n\u00e1jera": [115, 118, 120, 122, 146], "konstantin": [115, 146], "shmelkov": [115, 146], "jason": [115, 132, 146], "gor": [115, 132, 146], "savio": [115, 146], "margeta": [115, 146], "matthia": [115, 146], "ekman": [115, 146], "waskom": [115, 146], "bugfix": [117, 118, 121, 122, 125, 143, 146, 161], "minor": [118, 128, 130, 146, 153], "rewamp": [118, 146], "brok": [118, 146], "obei": [119, 146], "debian": [119, 146], "rule": [119, 146, 153, 154, 161, 241, 242, 243, 244], "sym_to_vec": [120, 125, 128, 140, 146], "helper": [120, 127, 128, 146, 161, 175, 221], "modernis": [120, 146], "784": [120, 146], "copy_img": [120, 146], "indexerror": [120, 142, 146], "fast_abs_percentil": [120, 146], "875": [120, 146], "group_sparse_covari": [120, 146, 160, 180], "move": [120, 127, 140, 146], "n_cut": [120, 146, 353], "find_cut_slic": [120, 127, 146], "822": [120, 146], "aina": [120, 146], "frau": [120, 146], "pascual": [120, 146], "ariel": [120, 132, 146], "rokem": [120, 132, 146], "targett": [121, 146], "renew": [122, 146], "flake8": [122, 144, 146, 161], "pull": [122, 144, 146, 166, 168], "rework": [122, 128, 135, 141, 146], "symmetric_split": [122, 146, 194, 195], "mac": [122, 146], "numpy_convers": [122, 146], "csv_to_arrai": [122, 146], "refresh": [122, 146], "sparsifi": [122, 146], "circleci": [122, 127, 146], "brainhack": [123, 128, 146], "mathemat": [123, 146, 166, 292, 403], "cobr": [123, 127, 146], "fetch_cobr": [123, 127, 138, 142, 146], "basc": [123, 146, 190], "april": [124, 127, 133, 134, 143, 146], "expand": [124, 146, 166, 168, 171, 291, 383, 385], "homedir": [124, 146], "uniformli": [124, 146, 154, 373, 375, 376], "aal": [124, 146, 188], "fetch_atlas_a": [124, 143, 146], "august": [125, 132, 144, 146], "wrong": [125, 143, 146, 163], "doc": [125, 141, 144, 146, 161, 169], "ivan": [125, 132, 146], "gonzalez": [125, 132, 146], "guidotti": [125, 135, 146], "refactor": [126, 140, 142, 144, 146, 169], "resolv": [126, 136, 146], "1238": [126, 146], "outdat": [126, 146], "get_affin": [126, 146, 171, 283], "checkout": [127, 146, 161, 169], "latest": [127, 146, 161, 168, 169, 305], "changelog": 127, "_get_mask_volum": [127, 146], "_adjust_screening_percentil": [127, 146], "tar": [127, 146, 169], "set_axis_bgcolor": [127, 146], "fast_svd": [127, 146], "switch": [127, 134, 146, 161, 169, 364], "lapack": [127, 146, 160], "svd": [127, 146, 249, 287, 384, 398], "heurist": [127, 146, 159, 160, 180, 316, 357, 370, 371, 372, 379, 415], "pip": [127, 132, 135, 146, 161, 168, 169, 416], "_safe_get_data": [127, 146], "safe": [127, 146], "ensure_finit": [127, 146, 281, 313, 316, 397], "cov_to_corr": [127, 146], "prec_to_parti": [127, 146], "qualit": [127, 146], "plot_surf": [127, 129, 135, 139, 140, 141, 142, 146, 162, 375, 376, 415], "fetch_surf_fsaverage5": [127, 132, 146], "surf_plot": [127, 146], "schizophrenia": [127, 146, 166], "coveral": [127, 146], "codecov": [127, 146], "sym_matrix_to_vec": [128, 146, 185], "largest_connected_compon": [128, 146], "workaround": [128, 146], "vec_to_sym_matrix": [128, 146], "renam": [128, 132, 146, 169], "plot_connectivity_measur": [128, 146], "tighter": [128, 146, 160], "largest_connected_component_img": [128, 146], "largest": [128, 146, 160, 290, 314, 315, 316, 317, 318, 319, 320, 356], "joe": [129, 146], "necu": [129, 146], "fetch_atlas_talairach": [129, 146], "resampling_interpol": [129, 146, 364, 365, 371, 372, 379], "backward": [129, 142, 146, 161, 194, 195], "incompat": [129, 146, 263], "cautious": [129, 146], "contribut": [129, 132, 133, 134, 135, 136, 137, 141, 142, 144, 146, 154, 163, 169, 416], "jeff": [129, 146], "chiang": [129, 146], "sassenhagen": [129, 146], "sylvain": [129, 132, 135, 146], "lan": [129, 132, 146], "olivi": [129, 146], "quirion": [129, 146], "analu": [129, 132, 146], "r\u00e9mi": [129, 146], "madhyastha": [129, 132, 146], "meghana": [129, 132, 146], "sfvnmac": [129, 132, 146], "larson": [129, 132, 133, 135, 146], "horea": [129, 132, 146], "moritz": [129, 132, 135, 146], "boo": [129, 132, 135, 146], "rothberg": [129, 132, 146], "bedetti": [129, 132, 146], "griffith": [129, 146], "lannuzel": [129, 132, 146], "1536": [130, 146], "usabl": [130, 146, 158, 160, 220, 245], "node_color": [130, 140, 146, 327, 328, 329, 330, 331, 332, 334, 337, 339, 341, 343, 345, 347, 349, 359, 378], "1595": [130, 146], "nifti2imag": [130, 146], "confer": [131, 146], "cold_hot": [131, 146, 367, 372, 376, 379, 380, 382], "lock": [131, 146], "whitespac": [131, 146], "had": [131, 146], "pradeep": [131, 146], "raamana": [131, 146], "attributeerror": [131, 146], "httperror": [131, 146], "glaser": [131, 146], "view_mark": [132, 133, 135, 140, 146, 378, 379, 415], "view_stat_map": [132, 146], "bump": [132, 135, 140, 141, 142, 146, 154, 156, 169], "v1": [132, 140, 142, 146], "python2": [132, 133, 134, 135, 146], "navig": [132, 146], "anaconda": [132, 146, 416], "feel": [132, 146, 161], "shout": [132, 146], "pbellec": [132, 146], "great": [132, 146], "awesom": [132, 146], "sportingli": [132, 146], "accommod": [132, 146], "feedback": [132, 146, 161, 169], "notter": [132, 146], "miykael": [132, 146], "brainsprit": [132, 133, 146, 415], "himanshupathak21061998": [132, 133, 146], "octob": [132, 135, 146], "oscar": [132, 146], "esteban": [132, 146], "uniti": [132, 146], "channel": [132, 146], "life": [132, 146], "gale": [132, 135, 146], "img_to_signals_label": [132, 135, 146, 390, 391], "sourav": [132, 146], "singh": [132, 146], "remi": [132, 146], "steinkamp": [132, 137, 146], "akshai": [132, 146], "gomez": [132, 135, 141, 144, 146], "guillaum": [132, 135, 146], "lemaitr": [132, 135, 146], "erramuzp": [132, 146], "foucault": [132, 146], "jehan": [132, 146], "nikolaidi": [132, 146], "dillon": [132, 146], "plunkett": [132, 146], "greg": [132, 135, 146], "operto": [132, 146], "dtyulman": [132, 146], "0a0": 132, "1705": [132, 146], "grid_search": [132, 146, 241, 242, 243, 244], "gill": [132, 135, 146], "holland": [132, 135, 146], "menuet": [132, 146], "romuald": [132, 146], "peer": [132, 146], "herholz": [132, 146], "consum": [133, 146, 156, 160, 169, 171], "noteworthi": [133, 146, 154], "fetch_atlas_schaefer_2018": [133, 135, 146], "fetch_coords_seitzman_2018": [133, 146], "node_coord": [133, 135, 146, 327, 328, 329, 330, 331, 332, 334, 337, 339, 341, 343, 345, 347, 349, 359, 368, 378], "edge_cmap": [133, 135, 146, 327, 328, 329, 330, 331, 332, 334, 337, 339, 341, 343, 345, 347, 349, 359, 378], "load_niimg": [133, 146], "silent": [133, 142, 146], "book": [133, 146], "docstr": [133, 138, 141, 144, 146, 161, 253, 255, 256], "mgz": [133, 134, 146, 373, 374, 375, 376, 382, 399], "mne": [133, 134, 146], "lowest": [134, 146], "broke": [134, 146], "v2": [135, 140, 146], "viewabl": [135, 146], "vscode": [135, 146], "biap8": [135, 146], "input_output": [135, 146, 248, 249, 384], "2172": [135, 146], "creation": [135, 146, 248, 249, 263, 276, 395], "giant": [135, 146], "1336": [135, 146], "plot_connectome_strength": [135, 138, 142, 146], "2028": [135, 146], "pad": [135, 146, 172, 173, 285, 296, 297, 316, 319, 323, 325, 326], "2025": [135, 146], "kiar": [135, 146], "1953": [135, 146], "ticklabel": [135, 146], "psc": [135, 139, 146, 308, 309, 310, 311, 312, 397], "median": [135, 146, 309, 373, 389], "standard_devi": [135, 146, 309, 389], "2221": [135, 146], "2057": [135, 146], "2157": [135, 146], "truncat": [135, 146], "2195": [135, 146], "det": [135, 146, 197], "2235": [135, 146], "hammond": [135, 146], "old": [135, 141, 142, 146], "2255": [135, 146], "ndarrai": [135, 146, 178, 179, 180, 181, 182, 183, 184, 185, 198, 200, 204, 206, 207, 218, 219, 241, 242, 243, 244, 246, 247, 248, 249, 250, 253, 254, 255, 256, 259, 263, 276, 281, 283, 286, 287, 293, 294, 296, 298, 304, 305, 307, 308, 309, 310, 311, 312, 313, 314, 316, 317, 319, 321, 322, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 354, 355, 360, 366, 369, 373, 374, 375, 376, 378, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 395, 396, 397, 398, 399, 400, 401], "2107": [135, 146], "paula": [135, 146], "sanz": [135, 146], "leon": [135, 146], "attempt": [135, 146, 266], "2212": [135, 146], "nose": [135, 146], "2231": [135, 146], "2248": [135, 146], "markiewicz": [135, 146], "derek": [135, 146], "pisner": [135, 146], "johann": [135, 146], "wiesner": [135, 146], "tetrel": [135, 146], "2169": [135, 146], "jake": [135, 146], "05_advanc": [135, 146], "03_connect": [135, 146], "2063": [135, 146], "merg": [135, 146, 150, 161, 166, 169, 172, 385], "plot_adhd_spher": [135, 146], "duplic": [135, 146], "plot_canica_analysi": [135, 146], "plot_haxby_decod": [135, 146], "2166": [135, 146], "unsuit": [135, 146], "redund": [135, 146, 161], "crash": [135, 146], "1888": [135, 146], "2083": [135, 146], "2052": [135, 146], "ian": [135, 146], "aben": [135, 146], "2118": [135, 146], "2138": [135, 146], "faulti": [135, 146], "ana": [135, 139, 141, 146], "luisa": [135, 139, 141, 146], "pinho": [135, 139, 141, 146], "colin": [135, 146], "reining": [135, 146], "c\u00e9line": [135, 146], "delettr": [135, 146], "takerkart": [135, 146], "januari": [136, 142, 146, 169], "2272": [136, 146], "developmental_fmri": [136, 146], "launch": [137, 146, 153], "2429": [137, 146], "2302": [137, 146], "typo": [137, 146], "2312": [137, 146], "jon": [137, 146], "haitz": [137, 146], "legarreta": [137, 146], "gorrono": [137, 146], "fetch_nyu_rest": [137, 140, 146], "2308": [137, 146], "teve": [137, 146], "zvi": [137, 146], "baratz": [137, 146], "2299": [138, 146], "2304": [138, 146], "2307": [138, 146], "2509": [138, 146], "2327": [138, 146], "art": [138, 146, 154, 241, 242, 243, 244], "nodal": [138, 146, 368, 415], "decim": [138, 146, 324, 325, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 365], "interchang": [138, 146], "compute_brain_mask": [138, 141, 146, 172, 241, 242, 243, 244, 248, 249, 311, 318, 384], "compute_gray_matter_mask": [138, 142, 146], "regard": [138, 146, 159, 212, 236, 305], "erron": [138, 146, 198], "readm": [138, 146], "2021": [139, 140, 141, 146, 187, 188, 191, 196, 197, 198, 201, 202, 225, 228, 229, 231], "serv": [139, 146, 161, 169, 193, 207], "2619": [139, 146], "2622": [139, 146], "2684": [139, 146], "2702": [139, 146], "one_minus_pvalu": [139, 146, 251], "stabil": [139, 146, 152, 243, 244, 251], "cumul": [139, 146, 251], "2567": [139, 146], "2674": [139, 146], "2553": [139, 146], "wegrzyn": [139, 146], "arm": [139, 146], "2606": [139, 146], "whatev": [139, 146], "2669": [139, 146], "notat": [139, 142, 146, 324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 357, 362, 364, 365, 371, 372, 373, 375, 376], "2697": [139, 146], "2712": [139, 146], "handi": [139, 146, 162], "2696": [139, 146], "raphael": [139, 140, 141, 142, 143, 144, 146], "meudec": [139, 140, 141, 142, 143, 144, 146], "2714": [139, 146], "2719": [139, 146], "2707": [140, 146], "2858": [140, 146], "inher": [140, 146], "basemask": [140, 146], "fsaverage3": [140, 146, 230, 380], "fsaverage4": [140, 146, 230, 380], "fsaverage6": [140, 146, 230, 380], "2815": [140, 146], "curv": [140, 146, 153, 154, 156, 160, 166, 373, 376, 382, 399], "2532": [140, 146], "luke": [140, 146], "struct": [140, 146], "footcit": [140, 142, 144, 146], "footbibliographi": [140, 142, 144, 146], "2806": [140, 146], "jeremi": [140, 146], "lefort": [140, 146], "besnard": [140, 146], "2732": [140, 146], "javier": [140, 146], "rasero": [140, 146], "_get_voxelwise_model_attribut": [140, 146], "2792": [140, 146], "ascend": [140, 146, 291], "1155": [140, 146], "2831": [140, 146], "edmond": [140, 146], "zoom": [140, 146], "surround": [140, 146, 401], "2798": [140, 146], "vanass": [140, 146], "inconsist": [140, 146, 276, 278], "2767": [140, 146], "marker_label": [140, 146, 381], "2745": [140, 146], "greydon": [140, 146], "gilmor": [140, 146], "avg_method": [140, 146, 373], "auto_exampl": [140, 146, 161, 364, 380], "2805": [140, 146], "viridi": [140, 146], "flow": [140, 146, 163, 166], "2821": [140, 142, 146], "butterwoth": [140, 146], "butterworth": [140, 144, 146, 397], "stratifi": [140, 146, 153, 241, 243, 245], "2869": [140, 146], "2867": [140, 146], "2868": [140, 146], "juelich": [141, 146, 195], "2723": [141, 146], "ahmad": [141, 142, 144, 146], "chamma": [141, 142, 144, 146], "load_mni152_gm_templ": [141, 146, 211, 234, 236, 237, 238], "load_mni152_wm_templ": [141, 146, 211, 235, 236, 237], "load_mni152_gm_mask": [141, 146, 211], "load_mni152_wm_mask": [141, 146, 211], "2738": [141, 146], "2755": [141, 146], "binarize_img": [141, 146], "skullstrip": [141, 146, 166, 236], "2904": [141, 146], "compute_multi_grey_matter_mask": [141, 146], "2876": [141, 146], "2941": [141, 146], "preset": [141, 142, 146, 305, 415], "nevertheless": [141, 146], "8339": [141, 146], "decor": [141, 146], "fill_doc": [141, 146], "2875": [141, 146], "pathlib": [141, 146, 171, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 225, 226, 227, 228, 229, 230, 231, 232, 241, 242, 243, 244, 246, 247, 263, 276, 314, 315, 316, 317, 318, 319, 384, 385, 386, 397, 399, 400, 401], "affect": [141, 146, 163, 166], "2928": [141, 146], "jqueri": [141, 146], "vulner": [141, 146], "2944": [141, 146], "2022": [142, 143, 144, 146], "plotli": [142, 146, 336, 373, 375, 376, 415, 416], "2902": [142, 146], "3061": [142, 146], "2946": [142, 146], "3016": [142, 146], "kmean": [142, 144, 146, 150, 167, 172, 263, 272, 383, 384], "2282": [142, 146], "3065": [142, 146], "encourag": [142, 146, 161], "3026": [142, 146], "submodul": [142, 144, 146, 161], "3126": [142, 146], "get_bids_fil": [142, 146], "parse_bids_filenam": [142, 146], "subpart": [142, 146], "3036": [142, 146], "3009": [142, 146], "3013": [142, 146], "leonard": [142, 146], "sass": [142, 146], "threw": [142, 146], "typeerror": [142, 146, 291], "3035": [142, 146], "3078": [142, 146], "myeong": [142, 146], "seop": [142, 146], "song": [142, 146], "3111": [142, 146], "neelai": [142, 146], "shah": [142, 146], "hommel": [142, 146], "3109": [142, 146], "benjamini": [142, 146, 163, 262], "hocheberg": [142, 146], "3137": [142, 146], "3135": [142, 146], "retain": [142, 146, 153, 154, 163, 240, 263, 304], "2965": [142, 146], "demean": [142, 146, 304, 305], "3003": [142, 146], "triag": [142, 146, 169], "clearli": [142, 146, 161], "polici": [142, 146, 161], "spm_hrf": [142, 146, 263, 265, 270], "2942": [142, 146], "3008": [142, 146], "test_img_plot": [142, 146], "reorgan": [142, 146, 161], "3015": [142, 146], "3033": [142, 146], "3077": [142, 146], "2859": [142, 146], "3106": [142, 146], "3081": [142, 146], "3082": [142, 146], "3093": [142, 146], "3133": [142, 146], "cond_id": [142, 146], "ex": [142, 146, 324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 357, 362, 364, 365, 371, 372, 373, 375, 376], "3025": [142, 146], "3039": [142, 146], "slicer": [142, 146, 324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 352, 415], "projector": [142, 146, 351], "3073": [142, 146], "byte": [142, 146, 161, 290, 296], "2655": [142, 146], "recarrai": [142, 146, 186, 192, 193, 204, 205, 206, 214, 215, 216, 225], "2829": [142, 146], "null": [143, 146, 153, 158, 163, 166, 251, 278, 322], "h0_fmax": [143, 146, 322], "3184": [143, 146], "fetch_abide_pcp": [143, 146], "func_preproc": [143, 146, 186], "3174": [143, 146], "3179": [143, 146], "_apply_cluster_size_threshold": [143, 146], "cluster_s": [143, 146], "3201": [143, 146], "beyond": [143, 146, 168], "newest": [143, 146, 221], "3188": [143, 146], "3098": [143, 146], "3127": [143, 146], "3165": [143, 146], "determinist": [143, 146, 166, 188, 190, 192, 194, 195, 197, 198, 200, 201, 202, 383], "glossari": [143, 146], "3152": [143, 146], "3207": [143, 146], "3178": [143, 146], "cfg": [143, 146, 161, 416], "2953": [143, 146], "theme": [144, 146, 169], "furo": [144, 146], "3125": [144, 146], "3196": [144, 146], "3181": [144, 146], "2715": [144, 146], "_neurovault_base_url": [144, 146], "_neurosynth_fetch_words_url": [144, 146], "3281": [144, 146], "manon": [144, 146], "pietrantoni": [144, 146], "bibtex": [144, 146], "3222": [144, 146], "mzayek": [144, 146], "3233": [144, 146], "vasco": [144, 146], "diogo": [144, 146], "3241": [144, 146], "3255": [144, 146], "caglar": [144, 146], "cakan": [144, 146], "anymor": [144, 146], "c_ra": [144, 146], "3235": [144, 146], "_check_second_level_input": [144, 146], "flm_object": [144, 146], "3283": [144, 146], "matthieu": [144, 146], "joulot": [144, 146], "3284": [144, 146], "_gamma_difference_hrf": [144, 146], "hemodynamic_model": [144, 146, 414], "slight": [144, 146], "distort": [144, 146, 304], "3297": [144, 146], "kun": [144, 146], "0rc1": [144, 146], "wn": [144, 146], "unfilt": [144, 146], "3293": [144, 146], "3306": [144, 146], "koen": [144, 146], "helwegen": [144, 146], "3312": [144, 146], "typograph": [144, 146], "3337": [144, 146], "sachin": [144, 146], "patalasingh": [144, 146], "censor": [144, 146], "3193": [144, 146], "3185": [144, 146], "sami": [144, 146], "jawhar": [144, 146], "conform": [144, 146, 163], "3262": [144, 146], "fall": [144, 146, 161, 367, 401], "3292": [144, 146], "connor": [144, 146], "n_elements_": [144, 146, 308, 309, 310, 311, 312], "3311": [144, 146], "filesystem": [144, 146], "branch": [144, 146, 161, 169], "diff": [144, 146, 161], "3317": [144, 146], "3333": [144, 146], "sage": [144, 146], "hahn": [144, 146], "3322": [144, 146], "carpet_plot": [144, 146], "deleg": [144, 146], "cmap_label": [144, 146, 358], "3209": [144, 146], "fsaverage5_spher": [144, 146], "3229": [144, 146], "regressionresult": [144, 146, 250, 254, 259, 263, 272], "simpleregressionresult": [144, 146, 263], "olsmodel": [144, 146, 253, 255, 256], "likelihoodmodelresult": [144, 146, 255, 256], "shorten": [144, 146], "df_resid": [144, 146], "wdesign": [144, 146], "wresid": [144, 146], "norm_resid": [144, 146], "wy": [144, 146], "fetch_openneuro_dataset_index": [144, 146], "favor": [144, 146], "3216": [144, 146], "afni": [144, 146], "nipi": [144, 146, 167, 168], "1046": [144, 146], "pr": [144, 146, 169], "1082": [144, 146], "overflow": [144, 146], "3227": [144, 146], "pars": [144, 146, 302], "3274": [144, 146], "elli": [144, 146], "privat": [144, 146, 161], "charact": [144, 146, 272], "3141": [144, 146], "3302": [144, 146], "int8": [144, 146, 294], "3286": [144, 146], "focuss": 147, "naturalist": [147, 148, 150, 151], "indirect": [147, 148], "friedman": 147, "biostatist": 147, "time_series_1": 147, "time_series_2": 147, "challeng": 147, "toll": 147, "stronger": 147, "nip": 147, "geometr": [147, 178], "group_connect": 147, "heterogen": 147, "fetch_atlas_craddock_2012": 148, "easiest": [148, 153, 154], "frmi_fil": 148, "confounds_datafram": 148, "imperfect": 148, "boundari": [148, 158, 172, 370, 371, 373], "registr": [148, 163, 297, 415], "csv_file": 148, "consider": [148, 154, 278, 322], "readili": [148, 153, 156, 168, 171, 172, 386], "zaleski": 148, "rise": 150, "debat": 150, "cite": [150, 196, 207, 216], "quicker": [150, 161], "loss": [150, 155, 246, 305], "downsiz": 150, "hierarch": [150, 166, 167, 383], "neighborhood": 150, "tree": [150, 198], "admittedli": 150, "isotrop": 151, "publicli": 151, "osf": [151, 193, 197, 207, 216], "5hju4": [151, 207], "walker": [151, 386, 388], "likewis": 151, "newer": [152, 221, 223], "arriv": 152, "consensu": [152, 161], "explor": [152, 156, 160, 162, 167, 168, 180, 208, 221, 227, 241, 242, 243, 244], "resembl": 152, "coactiv": 152, "neuro": [152, 166, 241, 299], "offer": [152, 162, 164, 415], "articul": 153, "diagnost": [153, 157], "statu": [153, 166, 225], "vbm": [153, 166, 168], "fa": 153, "unusu": 153, "rich": 153, "strongli": [153, 161, 166], "recfromcsv": 153, "seemingli": 153, "misleadingli": 153, "chose": 153, "Be": [153, 154, 161, 168, 180, 250, 396], "got": 153, "thumb": [153, 161], "advic": 153, "worst": 153, "caveat": 153, "entir": [153, 158, 173, 389], "sensibl": [153, 156, 179, 182], "imbalanc": 153, "domin": [153, 231], "roc": [153, 166], "guess": [153, 160, 314, 379], "notion": [153, 158, 302, 368], "00_tutori": 153, "tackl": [154, 169], "extern": [154, 157, 225], "trait": 154, "userguid": 154, "categor": [154, 169], "harder": 154, "vote": 154, "costli": [154, 158, 278, 322], "former": [154, 160, 221], "confus": [154, 299], "penal": [154, 160, 180, 246, 247], "variant": [154, 177], "counterpart": 154, "ridge_regressor": [154, 242, 244], "dummy_regressor": [154, 242, 244], "lunch": 154, "insensit": 154, "cheap": 154, "ill": 154, "importantli": [154, 156, 161, 168], "ugli": 154, "nuisanc": [154, 166, 187, 250, 253, 254, 255, 305], "hyper": [154, 155], "computationnali": 154, "bia": [154, 241, 242, 243, 244, 246, 247], "cancel": 154, "hood": [154, 159], "promot": [154, 155, 169], "memor": [155, 163], "versatil": [156, 167, 416], "mimic": [156, 194, 195], "unfortun": [156, 160], "prognosi": [157, 168], "reduct": [157, 249, 384, 417], "bag": [157, 246, 247, 417], "briefli": 158, "critic": [158, 160], "lorocv": 158, "properli": [158, 173, 359, 364], "isovoxel": 158, "volunt": 158, "ot": 158, "theoret": 158, "assumpt": [158, 163], "hypothesi": [158, 163, 245, 251, 278, 322], "swap": [158, 172, 225, 299], "descriptor": [158, 264, 322], "herebi": 158, "rank": [158, 253, 254, 255, 256, 322], "phenomenon": 158, "statistician": 158, "crucial": [158, 161], "symmetri": [158, 160], "adopt": [158, 166], "spacenetclassifi": [159, 241, 242, 247], "tvl1": 159, "blobbi": 159, "mainli": 160, "devis": 160, "descent": [160, 249], "innermost": 160, "hoc": 160, "histori": 160, "prove": [160, 173], "amplifi": 160, "mandatori": [160, 281], "_update_submatrix": 160, "perfect": 160, "newton": 160, "raphson": 160, "debug": [160, 161, 168, 180, 182], "kern": 160, "bottleneck": 160, "overhead": 160, "neglig": [160, 285], "evenli": [160, 281, 397], "highli": [160, 161], "serial": 160, "boil": 160, "written": [160, 168, 393], "inlin": [160, 393], "naiv": 160, "clock": 160, "nr": 160, "loos": 160, "fortran": [160, 296, 297, 322], "couldn": 160, "weren": 160, "ubuntu": 160, "synthes": 160, "wasn": 160, "hopefulli": 160, "govern": 160, "hardest": 160, "unrealist": 160, "perfectli": 160, "spectrum": 160, "decorrel": 160, "whatsoev": 160, "mostli": [160, 300], "weakli": 160, "optimum": 160, "wast": 160, "convex": 160, "group_sparse_covariance_cost": 160, "feasibl": 160, "semi": 160, "primal": 160, "satisfi": [160, 169], "quantiti": [160, 251], "lost": 160, "rapidli": 160, "prohibit": 160, "slowli": 160, "tricki": 160, "paragraph": 160, "fewer": [160, 358], "dwindl": 160, "speedup": 160, "complic": [160, 171, 253, 255, 256], "program": [160, 168, 415], "earlystopprob": 160, "unpen": 160, "fastest": 160, "fulli": [160, 163, 416], "compute_alpha_max": 160, "straightforward": [160, 251], "sequenti": [160, 171, 370], "trajectori": 160, "smallest": 160, "fact": [160, 163, 166], "energi": 160, "brute": 160, "slowest": 160, "hardwar": 160, "commod": 160, "moder": 160, "sought": [160, 166], "push": [160, 161, 169], "stress": 160, "rare": 160, "spent": 160, "early_stop": [160, 180], "neurostar": [161, 168, 169], "forum": [161, 168], "weekli": 161, "offic": 161, "hour": [161, 169, 278, 322], "fridai": [161, 416], "4pm": [161, 416], "5pm": [161, 416], "utc": [161, 416], "troubleshoot": 161, "appreci": [161, 171], "topic": [161, 169], "burn": 161, "board": 161, "welcom": [161, 169, 416], "think": [161, 163, 173], "runnabl": 161, "ongo": 161, "comment": [161, 173], "opinion": 161, "approv": 161, "burden": 161, "member": [161, 169, 416], "expert": [161, 168], "Their": 161, "crowd": 161, "tracker": [161, 169], "eas": 161, "prototyp": 161, "beginn": 161, "parsimoni": 161, "concern": [161, 166], "sustain": 161, "weigh": 161, "thoroughli": 161, "codebas": 161, "discourag": 161, "exhaust": 161, "modif": [161, 163, 166], "ultim": [161, 254], "emerg": 161, "host": 161, "effort": [161, 169], "everyon": 161, "send": [161, 383, 385], "infrastructur": [161, 169], "gigabyt": 161, "deploy": 161, "xxxx": 161, "unrel": [161, 173], "rst": [161, 169], "pep8": [161, 169], "numpydoc": 161, "versionad": [161, 169], "versionchang": [161, 169, 294], "coverag": [161, 416], "mock": 161, "atom": [161, 166], "convei": [161, 322], "smoothen": 161, "wip": 161, "draft": 161, "mrg": 161, "enh": 161, "maint": 161, "underscor": 161, "a_nice_funct": 161, "parent": 161, "init": [161, 383], "camelcas": 161, "randomst": [161, 248, 249, 263, 272, 278, 383, 384], "my_numb": 161, "didn": 161, "pytest": [161, 416], "test_modul": 161, "he": 161, "plain": 161, "repo": [161, 168, 169, 416], "fork": 161, "clone": [161, 168], "your_usernam": 161, "conda": [161, 168], "your_branch": 161, "lint": 161, "complianc": 161, "ancestor": 161, "commit": [161, 169], "test_surf_plot": 161, "your_fork": 161, "restructuredtext": 161, "strict": 161, "window": [161, 168, 263, 276, 395], "_build": 161, "doctre": 161, "noplot": 161, "ci": [161, 169, 253, 255, 256], "filename_pattern": 161, "sphinx_gallery_conf": 161, "thorough": 161, "comprehens": [161, 216, 239], "servic": 161, "temporarili": 161, "unavail": [161, 210], "frustrat": 161, "successfulli": 161, "_get_dataset_dir": 161, "_fetch_fil": 161, "server": [161, 221, 223, 416], "fake": 161, "request_mock": 161, "fixtur": 161, "_test": 161, "sender": 161, "essenc": 162, "timecours": [162, 304], "convolv": [162, 265], "doubl": [162, 194, 195], "plug": [162, 173, 250, 254], "ascertain": 162, "spm_multimodal_fmri": [162, 229], "referenc": 162, "symbol": [162, 291], "fistlevelmodel": 162, "flag": [162, 168, 304, 305], "observed_timeseri": 162, "magnet": [163, 166, 190, 216], "reson": [163, 166, 190, 216], "oxyhaemoglobin": [163, 166], "carri": [163, 166], "deoxyhaemoglobin": [163, 166], "deliv": [163, 166], "diamagnet": [163, 166], "paramagnet": [163, 166], "success": [163, 173], "mr": 163, "irrespect": [163, 370], "microarchitectur": 163, "regist": [163, 190], "montreal": [163, 166, 188], "institut": [163, 166, 188], "nipyp": 163, "action": [163, 216], "sensori": 163, "stimui": 163, "hypothes": [163, 166], "oxi": 163, "deoxi": 163, "haemoglobin": 163, "sluggish": 163, "plai": [163, 173], "remark": 163, "respond": 163, "alon": [163, 415], "colour": 163, "liklelihood": 163, "enter": 163, "conceptu": 163, "physic": [163, 323, 325, 326], "decid": 163, "dof": [163, 251], "_scan": 163, "_column": 163, "quantil": 163, "reject": [163, 166], "frequent": 163, "misconcept": 163, "frequentist": 163, "wikipedia": 163, "wiki": 163, "frequentist_infer": 163, "cumbersom": 163, "absenc": [163, 169, 389], "_voxel": 163, "danger": 163, "frac": [163, 247, 250, 254], "truli": 163, "surpass": 163, "proportion": 163, "compromis": [163, 305], "hochberg": [163, 262], "supra": 163, "rational": 163, "primer": [164, 417], "broader": 165, "morphologi": 166, "treatment": [166, 168], "contrari": [166, 302], "fundament": 166, "eeg": 166, "electroencephalographi": 166, "monitor": 166, "electr": 166, "echo": [166, 266], "planar": 166, "incorrect": 166, "unwarp": 166, "submit": [166, 169], "diamet": 166, "tradition": 166, "subcompon": 166, "meg": 166, "magnetoencephalographi": 166, "mni305": 166, "mutli": [166, 168], "pe": 166, "signifi": [166, 241, 242, 243, 244], "soft": 166, "tpr": 166, "wellcom": 166, "depart": 166, "univers": 166, "colleg": 166, "unlabel": 166, "emot": 166, "reaction": 166, "iq": [166, 241, 242, 243, 244], "diagnosi": [166, 168], "healthi": [166, 190], "outlier": [166, 225, 304, 305, 307, 308, 311], "magnitud": [166, 361], "benedikt": 166, "ehing": 166, "coher": [166, 168], "neurobiolog": 166, "subgroup": 166, "psychiatr": 166, "disord": 166, "toolbox": [167, 416], "migrat": 167, "quickstart": 167, "ecosystem": 167, "domain": [168, 249], "vice": 168, "versa": 168, "transfer": 168, "psycholog": 168, "knop": 168, "despit": 168, "connection": 168, "virtual": 168, "manag": 168, "venv": 168, "miniconda": 168, "path_to_new_env": 168, "bat": 168, "command": [168, 416], "panic": 168, "realiz": 168, "dozen": 168, "blown": 168, "facilit": 168, "everydai": 168, "menu": 168, "toggl": [168, 285], "t_map000": 168, "t_map000_smooth": 168, "th": [168, 379], "first_volum": 168, "fmri_volum": 168, "sharpen": [168, 396], "skill": 168, "jump": 168, "plan": 168, "casual": 168, "00450225": 168, "0090045": 168, "9909955": 168, "99549775": 168, "50225113": 168, "50450225": 168, "99774887": 168, "54030231": 168, "53650833": 168, "53270348": 168, "84393609": 168, "84151234": 168, "83907153": 168, "t_smooth": 168, "sigma": [168, 250, 253, 254, 255, 256], "t_detrend": 168, "algebra": 168, "set_config": [168, 173], "print_changed_onli": [168, 173], "rbf": 168, "poli": 168, "sigmoid": 168, "digit": 168, "load_digit": 168, "materi": 168, "gentl": 168, "mail": 168, "googl": 168, "fromgroup": 168, "expertis": 168, "mailman": 168, "listinfo": 168, "mislabel": 169, "seriou": 169, "dai": 169, "decent": 169, "quantifi": 169, "prioriti": [169, 171, 232], "urgent": 169, "month": 169, "medium": [169, 230, 380], "stall": 169, "repli": 169, "week": 169, "redirect": 169, "ping": 169, "beforehand": 169, "currentmodul": 169, "whats_new": 169, "_latest": 169, "_vx": 169, "__version__": 169, "h4": 169, "ul": 169, "href": 169, "manifest": 169, "touch": [169, 285], "master": [169, 198], "upstream": 169, "workspac": 169, "dist": 169, "rm": 169, "wheel": 169, "twine": 169, "sdist": 169, "bdist_wheel": 169, "subfold": 169, "packagenam": 169, "packagevers": 169, "pythonvers": 169, "pythoncvers": 169, "whl": 169, "tab": [169, 173], "drag": 169, "bewar": [169, 171], "expans": [170, 417], "resiz": [170, 172, 241, 242, 243, 244, 246, 247, 276, 293, 296, 314, 316, 317, 319, 378, 380, 381, 382, 384, 393, 417], "t_map001": 171, "abbrevi": 171, "subject1": 171, "subject2": 171, "wildcard": [171, 172, 240, 291], "unix": [171, 240], "shell": [171, 240], "subject_01": 171, "subject_03": 171, "subject_": 171, "subj1": 171, "resourc": 171, "nilearn_shared_data": [171, 232], "get_head": 171, "spatialimag": [171, 284], "memoryerror": 171, "decompress": 171, "uncach": 171, "comma": 171, "aren": 171, "chapter": [172, 173], "swap_img_hemispher": 172, "fslview": 172, "crop": [172, 173, 285], "consumpt": [172, 263, 276, 310, 396], "3x3x3": [172, 221, 223, 386, 388], "diag": [172, 369], "compute_background_mask": [172, 241, 242, 243, 244, 248, 249, 308, 311, 384], "compute_multi_epi_mask": [172, 308], "compute_multi_background_mask": [172, 308], "intersect_mask": 172, "restructur": 172, "recip": 172, "swiss": 173, "armi": 173, "knive": 173, "intend": [173, 256, 296, 297], "fight": 173, "neuroanatomi": 173, "anisotrop": 173, "cubic": [173, 182], "convers": [173, 188], "loss_pass": 173, "prespecifi": 173, "abrupt": 173, "transient": 173, "acquis": 173, "saniti": 173, "recast": 173, "excerpt": 173, "disadvantag": 173, "nonpres": 173, "linearli": 173, "nor": 173, "cov_estim": 178, "ledoitwolf": 178, "store_precis": 178, "discard_diagon": [178, 184], "shrunk": 178, "triangular": [178, 184, 185, 369], "cov_estimator_": 178, "whitening_": 178, "__init__": [178, 179, 180, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 263, 276, 307, 308, 309, 310, 311, 312, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 383, 384, 385, 386, 393], "connectivitymatrix": 178, "n_confound": [178, 287, 398], "vetor": 178, "subobject": [178, 179, 180, 241, 242, 243, 244, 245, 246, 247, 248, 249, 263, 276, 307, 308, 309, 310, 311, 312, 383, 384, 385, 386], "set_param": [178, 179, 180, 241, 242, 243, 244, 245, 246, 247, 248, 249, 263, 276, 307, 308, 309, 310, 311, 312, 383, 384, 385, 386], "aggress": [179, 305, 309, 310, 312], "ndarray": 179, "n_refin": 180, "tol_cv": 180, "max_iter_cv": 180, "phase": 180, "cv_alphas_": 180, "probe_funct": 182, "precisions_init": 182, "dualiti": 182, "prematur": 182, "emp_cov": 182, "vec": 185, "encompass": 185, "cpac": 186, "band_pass_filt": 186, "global_signal_regress": 186, "quality_check": 186, "wrt": [186, 247, 263, 265, 270], "pcp": 186, "css": 186, "dparsf": 186, "niak": 186, "cc": 186, "controversi": 186, "1hz": 186, "alff": 186, "degree_binar": 186, "degree_weight": 186, "dual_regress": 186, "eigenvector_binar": 186, "eigenvector_weight": 186, "falff": 186, "func_mask": 186, "func_mean": 186, "lfcd": 186, "reho": 186, "rois_aal": 186, "rois_cc200": 186, "rois_cc400": 186, "rois_dosenbach160": 186, "rois_ez": 186, "rois_ho": 186, "rois_tt": 186, "vmhc": 186, "rater": 186, "mirror": [186, 187, 188, 189, 190, 191, 192, 196, 199, 200, 202, 210, 211, 214, 215, 216, 219, 220, 225, 231], "sub_id": 186, "50001": 186, "50607": 186, "dx_group": 186, "dsm_iv_tr": 186, "asperg": 186, "ppd": 186, "NOS": 186, "age_at_scan": 186, "femal": 186, "handedness_categori": 186, "ambi": 186, "ambidextr": 186, "handedness_scor": 186, "resum": [187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 198, 199, 200, 202, 207, 210, 211, 212, 216, 218, 219, 220, 225, 231], "ftp": 187, "htdoc": 187, "adhd200": 187, "adhd200_40sub_preprocess": 187, "tgz": 187, "spm12": 188, "med": 188, "consecut": [188, 190, 192, 198, 201, 202, 383], "5021": 188, "lingual_l": 188, "precentral_l": 188, "spm5": 188, "gin": 188, "cnr": 188, "mialab": 189, "rsn_indic": 189, "mrn": 189, "mstep": 190, "asym": 190, "asymmetr": [190, 211, 212], "homotop": 190, "scale007": 190, "scale012": 190, "scale020": 190, "scale036": 190, "scale122": 190, "scale325": 190, "figshar": 190, "1285615": 190, "scorr_mean": 191, "obj": [191, 285, 384], "emphas": 191, "tcorr_mean": 191, "scorr_2level": 191, "tcorr_2level": 191, "creativ": 191, "commerci": 191, "alik": 191, "creativecommon": 191, "nc": 191, "sa": 191, "cluster_roi": 191, "rec": [192, 204, 205, 206, 266], "pqu9r": 193, "wjvd5": 193, "3vrct": 193, "9b76y": 193, "34792": 193, "atlas_nam": [194, 195], "cortl": 194, "thr50": [194, 195], "usr": [194, 195], "strictli": [194, 195], "probabilit": 197, "prepend": [197, 198, 302, 303], "nac": 197, "idx_nac": 197, "r2hvk": 197, "n_roi": 198, "yeo_network": 198, "base_url": 198, "7networks_lh_vis_3": 198, "thomasyeolab": 198, "cbig": 198, "stable_project": 198, "brain_parcel": 198, "schaefer2018_localglob": 198, "update_20190916_readm": 198, "md": 198, "update_yeo2011_schaefer2018_labelnam": 198, "bandwidth": 199, "fmrib": 199, "ox": 199, "sulco": 200, "gryal": 200, "level_nam": 201, "ba": 201, "brodmann": 201, "thin_7": 202, "thin": 202, "colors_7": 202, "thin_17": 202, "colors_17": 202, "tick_7": 202, "tick_17": 202, "surfer": 202, "nmr": 202, "mgh": 202, "fswiki": 202, "corticalparcellation_yeo2011": 202, "downloaded_fil": [203, 213, 226], "ordered_region": [204, 206], "cerebellar": 206, "cinguloopercular": 206, "defaultmod": 206, "dorsalattent": 206, "frontopariet": 206, "medialtemporallob": 206, "parietomedi": 206, "reward": 206, "somatomotordors": 206, "somatomotorlater": 206, "ventralattent": 206, "cortexl": 206, "cortexr": 206, "thalamu": 206, "hippocampu": 206, "basalganglia": 206, "amygdala": 206, "cortexmid": 206, "age_group": 207, "realist": [207, 373, 375, 376, 382], "gender": [207, 225], "handed": 207, "ds000228": 207, "wjtyq": 207, "ucla": [208, 226], "consortium": [208, 226], "neuropsychiatr": [208, 226], "la5c": [208, 226], "urls_path": [208, 227], "fullbrain": 210, "pymvpa": 210, "datadb": 210, "mni152nlin2009csasym": [211, 212], "templateflow": [211, 212], "t2": [211, 362, 415], "t2_relax": 211, "relaxometri": 211, "proton": 211, "eye_mask": 211, "face_mask": 211, "bic": [211, 253], "mcgill": 211, "ca": 211, "servicesatlas": 211, "icbm152nlin2009": 211, "vfonov": 211, "mni_icbm152_nlin_sym_09a_nifti": 211, "tpl": 211, "mni152nlin2009csym": 211, "binary_clos": [212, 234, 237], "gm_mask_img": [212, 234], "particularli": [212, 386], "caller": [214, 215], "get_mask": 216, "get_anat": 216, "vhtf6": 216, "paardigm": 217, "multiple_spatial_regress": 218, "princip": [218, 305], "full_correl": 218, "return_raw_data": 219, "betamap": 219, "make_xi": 219, "153mb": 220, "brainlin": 220, "number_of_imag": 221, "_empty_filt": 221, "image_typ": 221, "is_threshold": 221, "not_mni": 221, "download_new": [221, 223], "kwarg_image_filt": 221, "until": [221, 322], "skim": 221, "basic_collection_term": 221, "empty_filt": 221, "image_metadata": 221, "basic_image_term": 221, "offlin": [221, 223], "regardless": [221, 223, 246], "countvector": [221, 223], "info": [221, 223, 367, 373, 374, 375, 376], "remot": [221, 223], "concis": 221, "_col_filters_available_on_serv": 221, "owner": 221, "modify_d": 221, "auditory_calculation_vs_baselin": 222, "32980": 222, "10426": 224, "dartel_vers": 225, "dartel": 225, "data_usage_agr": 225, "gross": 225, "intracrani": 225, "socioeconom": 225, "dementia": 225, "demand": 225, "dedic": 225, "openli": 225, "usageagr": 225, "vm": 225, "dataset_vers": [226, 227], "patch_openneuro_dataset": 226, "symlink": [226, 239], "data_nam": [228, 229], "ion": [228, 229], "trials_ses1": 229, "trials_ses2": 229, "mmface": 229, "2562": [230, 380], "10242": [230, 367, 380], "40962": [230, 380], "fsaverage7": [230, 380], "163842": [230, 367, 380], "area_left": 230, "gifti": [230, 231], "area_right": 230, "curv_left": 230, "curvatur": 230, "curv_right": 230, "sphere_left": 230, "sphere_right": 230, "thick_left": 230, "thick_right": 230, "white_left": [230, 401], "white_right": 230, "func_right": 231, "gm_mni152_templ": 235, "mni152_templ": 236, "wm_mask_img": 237, "wm_mni152_templ": 238, "file_list": 239, "inclusion_filt": 240, "exclus": [240, 246, 247], "wrapper": [241, 242, 278], "1e4": [241, 242, 243, 244], "logisticregress": [241, 243], "liblinear": [241, 243], "ridgeclassifiercv": [241, 243], "inbuilt": [241, 242, 243, 244], "model_evalu": [241, 242, 243, 244], "scorer": [241, 242, 243, 244], "hertz": [241, 242, 243, 244, 246, 247, 281, 384, 386, 396, 397], "rough": [241, 242, 243, 244, 246, 247, 248, 249, 263, 276, 282, 308, 311, 384, 385, 386], "decision_funct": [241, 242, 243, 244, 246, 247], "learner": [241, 242, 243, 244, 246, 247], "ye": [241, 242, 243, 244], "leavepgroupsout": [241, 242, 243, 244], "classes_": [241, 242, 243, 244, 246, 247], "screening_percentile_": [241, 242, 243, 244, 246, 247], "n_class": [241, 242, 243, 244, 246, 247], "intercept_": [241, 242, 243, 244, 246, 247], "nclass": [241, 242, 243, 244], "cv_": [241, 242, 243, 244, 246, 247], "std_coef_": [241, 242, 243, 244], "std_coef_img_": [241, 242, 243, 244], "inner": [241, 242, 243, 244, 301, 401], "scorer_": [241, 242, 243, 244], "misclassif": [241, 242, 243, 244, 246, 247], "n_outputs_": [241, 242, 243, 244], "dummy_output_": [241, 242, 243, 244], "class_prior": [241, 242, 243, 244], "dummyregressor": [241, 242, 243, 244], "confid": [241, 242, 243, 244, 246, 247, 253, 255, 256], "sample_weight": [241, 242, 243, 244, 247], "neg_mean_squared_error": [242, 244], "trade": [243, 244], "cluster_percentil": [243, 244], "america": 245, "fit_intercept": [246, 247], "hybrid": [246, 247], "mutual": [246, 247], "alpha_min": [246, 247], "alpha_max": [246, 247], "premultipli": 246, "nearli": [246, 247], "debias": [246, 247], "all_coef_": [246, 247], "n_l1_ratio": [246, 247], "alpha_grids_": [246, 247], "best_model_params_": [246, 247], "n_paramet": [246, 247], "n_classes_": 246, "mask_": [246, 247], "memory_": [246, 247], "narrai": [246, 247], "w_": [246, 247], "ymean_": [246, 247], "xmean_": [246, 247], "xstd_": [246, 247], "supported_loss": [246, 247], "supported_penalti": [246, 247], "check_param": [246, 247], "sane": [246, 247], "hyperplan": [246, 247], "qi": [246, 247], "y_true": 247, "disregard": 247, "n_samples_fit": 247, "n_output": [247, 248, 249, 263, 276, 383, 385], "uniform_averag": 247, "multioutputregressor": 247, "do_cca": 248, "n_init": [248, 383], "6mm": [248, 386], "restart": 248, "recoveri": 248, "1177": 248, "manipulating_imag": [248, 249, 384], "fit_param": [248, 249, 263, 276, 307, 308, 311, 383, 385], "x_new": [248, 249, 263, 276, 307, 308, 311, 383, 385], "n_features_new": [248, 249, 263, 276, 307, 308, 311, 383, 385], "reconstructed_img": [248, 249], "decompositionestim": [248, 249, 384], "squeez": [248, 249, 384], "reduction_ratio": 249, "batch": [249, 383], "lar": 249, "lars_path": 249, "13th": 249, "symposium": 249, "biomed": 249, "1282": 249, "1285": 249, "rho": 250, "likelihoodmodel": [250, 253], "whitened_x": [250, 254], "logl": [250, 253, 254, 255, 256], "loglikelihood": [250, 254], "df_model": [250, 253, 254], "loglf": [250, 254], "ell": [250, 254], "hat": [250, 254], "sse": [250, 254, 255, 256], "10000000000": 251, "tini": 251, "dofmax": 251, "breakag": 251, "contrast_dim": 251, "def_dofmax": 251, "underflow": 251, "def_tini": 251, "h0": [251, 322], "df_num": [252, 253, 255, 256], "df_den": [252, 253, 255, 256, 257], "theta": [253, 255, 256], "aic": 253, "llf": 253, "wald": [253, 255, 256], "vcov": [253, 255, 256], "sd": [253, 255, 256, 257], "tcontrastresult": [253, 255, 256], "fcontrast": [253, 255, 256], "invcov": [253, 255, 256], "px": [253, 255, 256], "f_re": [253, 255, 256], "fcontrastresult": [253, 255, 256], "conf_int": [253, 255, 256], "col": [253, 255, 256], "standard_norm": [253, 255, 256], "stan": [253, 255, 256], "confidence_interv": [253, 255, 256], "whitened_design": 254, "calc_beta": 254, "moor": 254, "penros": 254, "pseudoinvers": 254, "normalized_cov_beta": 254, "df_residu": 254, "__init___": 254, "wlsmodel": 254, "armodel": 254, "whitened_i": 255, "whitened_residu": 255, "normalized_residu": [255, 256], "stanard": [255, 256], "d_i": [255, 256], "e_i": [255, 256], "ms_e": [255, 256], "presum": [258, 279], "dsicoveri": 258, "regression_result": 259, "con_val": 259, "con": 259, "precision_weight": 260, "fixed_fx_contrast_img": 260, "fixed_fx_variance_img": 260, "fixed_fx_t_img": 260, "z_val": 262, "min_onset": [263, 265, 266, 270], "plu": [263, 265, 270], "spm_time_deriv": [263, 265, 270], "idem": [263, 265, 270], "spm_dispersion_deriv": [263, 265, 270], "glover_hrf": [263, 265, 270], "glover_time_deriv": [263, 265, 270], "glover_dispersion_deriv": [263, 265, 270], "dirac": [263, 265, 270], "n_onset": [263, 270], "rid": [263, 276], "labels_": [263, 383, 385], "results_": 263, "array_lik": [263, 327, 328, 329, 330, 331, 332, 334, 337, 339, 341, 343, 345, 347, 349, 359, 368], "histogram": [263, 272, 316, 319, 366], "quantif": [263, 272], "contrast_def": [263, 276, 360, 395], "t_map": [263, 276], "n_col": [263, 276, 278, 303, 360], "eval": [263, 276, 360], "report_dim": [263, 276, 395], "htmlreport": [263, 276, 310, 386, 395], "standalon": [263, 276, 395], "ce": [263, 266, 276, 395], "autogener": [263, 276, 395], "subpeak": [263, 276, 394, 395], "report_text": [263, 276, 395], "voxelwis": [263, 276], "triplet": [264, 265, 312, 381], "n_frame": [264, 270], "n_regressor": [264, 272, 278, 322], "n_event": [264, 265, 270], "computed_regressor": 265, "n_reg": 265, "reg_nam": 265, "dataset_path": 266, "alongsid": 266, "_space": 266, "acq": 266, "dir": [266, 301], "den": 266, "pa": 266, "dhrf": [267, 269, 273, 275], "n_add_reg": 270, "reg_i": 270, "frames_tim": 270, "map_nam": [276, 278], "effects_map_path": [276, 278], "liter": [276, 278], "second_level_stat_typ": 276, "output_imag": 276, "unsign": [278, 322], "neg_log10_vfwe_pvals_img": 278, "explanatori": [278, 322], "n_descriptor": [278, 322], "prescrib": 279, "rigor": 279, "anatomical_imag": [280, 292], "brainmask": 280, "instant": [281, 397], "ensure_ndim": 282, "img_copi": 284, "rtol": 285, "return_offset": 285, "Will": [285, 327, 328, 329, 330, 331, 332, 334, 337, 339, 341, 343, 345, 347, 349, 359], "croppabl": 285, "x1_pre": 285, "x1_post": 285, "x2_pre": 285, "x2_post": 285, "xn_pre": 285, "xn_post": 285, "number_of_scan": 287, "joint_mni_imag": 288, "single_mni_imag": 288, "five_mni_imag": 288, "first_three_imag": 288, "imcal": 292, "fslmath": 292, "log_img": 292, "ref_niimg": 294, "copy_head": 294, "2dev": [294, 303, 309, 391, 394], "imposs": 295, "fill_valu": [296, 297], "force_resampl": [296, 297], "extrapol": 296, "prevent": [296, 297, 314, 315, 316, 318], "optimz": [296, 297], "boundingboxerror": 296, "crop_img": 296, "infinit": 296, "gracefulli": 296, "source_img": 297, "target_img": [297, 315, 318], "arr": 298, "normalis": 298, "filtered_img": 298, "synchron": 299, "sagit": 299, "caution": 299, "radio": 299, "main_path": 301, "file_tag": [301, 302], "file_typ": [301, 302], "sub_label": 301, "modality_fold": 301, "sub_fold": 301, "se": 301, "ap": 301, "file_path": 302, "file_basenam": 302, "file_field": 302, "_tag": 302, "revis": 302, "parser": 302, "statmap": 303, "_stat": 303, "_statmap": 303, "_design": 303, "img_fil": [304, 305], "anat_combin": [304, 305], "n_compcor": [304, 305], "dtseri": [304, 305], "compli": 304, "non_steady_st": 304, "power2": 304, "quadrat": 304, "power2d": 304, "excess": 304, "temov": 304, "var": 304, "anat_separ": 304, "temporal_anat_combin": 304, "temporal_anat_separ": 304, "acompcor_combin": 304, "smootharomanonaggr_bold": [304, 305], "nifitmask": 304, "srub": 305, "denois": 305, "physiologi": 305, "suffer": 305, "aggres": 305, "suffix": 305, "mni152nlin6asym": 305, "niprep": 305, "region_sign": [307, 308, 309, 310, 311, 312, 384, 386, 390, 392], "imgs_list": [307, 308, 311], "multipca": 308, "affine_": [308, 311], "unus": [308, 309, 310, 311, 312], "transform_img": 308, "maps_img_": 310, "html_report": [310, 386], "voxel_sign": [310, 312, 386], "seeds_": 312, "throw": 312, "session_seri": 313, "data_img": [314, 317], "border_s": [314, 317], "binary_eros": [314, 315, 316, 318], "exclude_zero": [316, 317, 319], "fraction": [316, 317, 319, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 401], "reslic": [316, 319], "grp_mask": 320, "ndim": 321, "target_var": 322, "confounding_var": 322, "legaci": 322, "criterion": [322, 385], "amongst": [322, 415], "n_covar": 322, "pval": 322, "score_orig_data": 322, "h0_max_t": 322, "h0_max_tfc": 322, "h0_max_siz": 322, "h0_max_mass": 322, "mpl": [323, 325, 326], "transform_to_2d": [323, 325, 326], "add_object_bound": [323, 325, 326], "draw_2d": [323, 325, 326], "data_bound": [323, 325, 326], "bounding_box": [323, 325, 326], "get_object_bound": [323, 325, 326], "draw_left_right": [323, 325, 326], "bg_color": [323, 325, 326], "draw_scale_bar": [323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350], "fontproperti": [323, 325, 326], "borderpad": [323, 325, 326], "size_vert": [323, 325, 326], "label_top": [323, 325, 326], "font": [323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 373, 375, 376], "anchoredoffsetbox": [323, 325, 326], "draw_posit": [323, 325, 326], "brain_color": [324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350], "frame_ax": [324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350], "subdivid": [324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350], "find_cut_coord": [324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350], "classmethod": [324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350], "init_with_figur": [324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350], "leave_spac": [324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350], "bgcolor": [324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350], "2g": [324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 357, 362, 364, 365, 371, 372, 373, 375, 376], "cbar_vmin": [324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 373], "cbar_vmax": [324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 373], "tick": [324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 357, 362, 364, 365, 371, 372, 373, 375, 376, 378, 380, 382], "contour_fil": [324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350], "add_edg": [324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 415], "n_marker": [324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350], "left_right": [324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350], "scale_loc": [324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350], "leak": [324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350], "dpi": [324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350], "inch": [324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350], "schemat": [326, 359, 364, 368], "glassbrainax": [327, 328, 329, 330, 331, 332, 334, 337, 339, 341, 343, 345, 347, 349], "add_graph": [327, 328, 329, 330, 331, 332, 334, 337, 339, 341, 343, 345, 347, 349], "linearsegmentedcolormap": [327, 328, 329, 330, 331, 332, 334, 337, 339, 341, 343, 345, 347, 349, 357, 358, 359, 362, 369, 370, 371, 372, 378, 379, 380, 382], "edge_kwarg": [327, 328, 329, 330, 331, 332, 334, 337, 339, 341, 343, 345, 347, 349, 359], "node_kwarg": [327, 328, 329, 330, 331, 332, 334, 337, 339, 341, 343, 345, 347, 349, 359, 368], "undirect": [327, 328, 329, 330, 331, 332, 334, 337, 339, 341, 343, 345, 347, 349, 359], "draw_cross": [327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 357, 362, 365, 370, 371, 372, 379], "crossbar": [327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350], "cutax": [340, 342, 344, 346, 348, 350], "baseslic": 352, "img_length": 353, "return_label_nam": 354, "label_hemispher": 354, "labels_list": 354, "label_img": 355, "n_map": 355, "activation_threshold": 356, "tupleof": [357, 358, 359, 362, 364, 365, 368, 370, 371, 372], "ymin": [357, 358, 359, 362, 364, 365, 368, 370, 371, 372], "pronounc": [357, 370, 371, 372, 379], "get_zoom": 358, "matlotlib": 359, "probabilisit": 359, "nipy_spectr": 362, "model_ev": 363, "fig_kwarg": 363, "event_typ": 363, "stat_map_img": [364, 372, 379, 380], "symmetric_cbar": [364, 372, 376], "manner": 364, "destin": [364, 365, 371, 372, 379], "spline": [364, 365, 371, 372, 379], "noisier": [364, 365, 371, 372, 379], "ref_img": 366, "src_img": 366, "plot_hist": 366, "output_dir": 366, "superimpos": 366, "nifti_lik": 366, "montag": 367, "node_valu": 368, "listedcolormap": 368, "node_vmin": 368, "node_vmax": 368, "node_threshold": 368, "viridis_r": 368, "auto_fit": 369, "newli": 369, "room": 369, "linkag": 369, "sent": 369, "gist_rainbow": 370, "surf_map": [373, 382], "title_font_s": [373, 375, 376], "orig": [373, 374, 375, 376, 382, 400, 401], "sulc": [373, 376, 382, 399], "underneath": [373, 375, 376, 382], "surf_data": [373, 375, 376, 382, 399, 401], "greyscal": [373, 375, 376, 382], "sharp": [373, 415], "apply_along_axi": 373, "custom_funct": 373, "beneath": [373, 375, 376], "subplot_kw": [373, 374, 375, 376], "tab20": 374, "rgba": [374, 381], "agg": 377, "emit": 377, "colorbar_height": [378, 380, 382], "colorbar_fonts": [378, 380, 382], "title_fonts": [378, 380, 381, 382], "n_node": [378, 381], "connectomeview": [378, 381], "opac": 379, "opaqu": 379, "html_view": [379, 415], "plane": 379, "surfaceview": [380, 382], "hex": 381, "gnist_ncar": 382, "max_no_improv": 383, "smart": 383, "k_init": 383, "centroid": 383, "mini": 383, "inertia": 383, "reassign": 383, "sizes_": [383, 385], "x_red": [383, 385], "x_inv": [383, 385], "fit_predict": [383, 385], "connectivity_": 384, "valid_method": 384, "eccentr": 385, "n_clusters_": 385, "27mm": [386, 388], "1350mm": [386, 388], "img_valu": 386, "connected_compon": [386, 388], "ly": 386, "min_siz": 387, "new_labels_img": 387, "new_label": 387, "extract_typ": 388, "_smooth_arrai": 388, "index_of_each_map": 388, "signals_to_img_label": [389, 392], "img_to_signals_map": [389, 392], "signals_to_img_map": [390, 391], "head_tpl": 393, "head_valu": 393, "html_document": 393, "htmldocument": 393, "get_ifram": 393, "get_standalon": 393, "temp_file_lifetim": 393, "temporari": 393, "remove_temp_fil": 393, "letter": 394, "destination_path": 395, "sampling_r": 396, "n_sourc": 396, "decai": 396, "ring": 396, "inplac": 396, "filtered_sign": 396, "cleaned_sign": 397, "namedtupl": [400, 401], "neighbourhood": 401, "trilinear": 401, "x20": 401, "regularli": 401, "halfwai": 401, "inward": 401, "surface_mesh": 401, "neighbour": 401, "experimental_paradigm": 414, "tour": 415, "canni": 415, "purple_green": 415, "alia": 415, "pretty_brain": 415, "emb": 415, "surface_plot": 415, "cyan": 415, "orang": 415, "simexp": 415, "friendli": 416, "offici": 416, "prompt": 416, "discord": 416, "anyon": 416, "engag": 416}, "objects": {"nilearn": [[174, 0, 0, "-", "connectome"], [175, 0, 0, "-", "datasets"], [176, 0, 0, "-", "decoding"], [177, 0, 0, "-", "decomposition"], [402, 0, 0, "-", "glm"], [403, 0, 0, "-", "image"], [405, 0, 0, "-", "interfaces"], [406, 0, 0, "-", "maskers"], [407, 0, 0, "-", "masking"], [408, 0, 0, "-", "mass_univariate"], [409, 0, 0, "-", "plotting"], [410, 0, 0, "-", "regions"], [411, 0, 0, "-", "reporting"], [412, 0, 0, "-", "signal"], [413, 0, 0, "-", "surface"]], "nilearn.connectome": [[178, 1, 1, "", "ConnectivityMeasure"], [179, 1, 1, "", "GroupSparseCovariance"], [180, 1, 1, "", "GroupSparseCovarianceCV"], [181, 3, 1, "", "cov_to_corr"], [182, 3, 1, "", "group_sparse_covariance"], [183, 3, 1, "", "prec_to_partial"], [184, 3, 1, "", "sym_matrix_to_vec"], [185, 3, 1, "", "vec_to_sym_matrix"]], "nilearn.connectome.ConnectivityMeasure": [[178, 2, 1, "", "__init__"], [178, 2, 1, "", "fit"], [178, 2, 1, "", "fit_transform"], [178, 2, 1, "", "get_params"], [178, 2, 1, "", "inverse_transform"], [178, 2, 1, "", "set_params"], [178, 2, 1, "", "transform"]], "nilearn.connectome.GroupSparseCovariance": [[179, 2, 1, "", "__init__"], [179, 2, 1, "", "fit"], [179, 2, 1, "", "get_params"], [179, 2, 1, "", "set_params"]], "nilearn.connectome.GroupSparseCovarianceCV": [[180, 2, 1, "", "__init__"], [180, 2, 1, "", "fit"], [180, 2, 1, "", "get_params"], [180, 2, 1, "", "set_params"]], "nilearn.datasets": [[186, 3, 1, "", "fetch_abide_pcp"], [187, 3, 1, "", "fetch_adhd"], [188, 3, 1, "", "fetch_atlas_aal"], [189, 3, 1, "", "fetch_atlas_allen_2011"], [190, 3, 1, "", "fetch_atlas_basc_multiscale_2015"], [191, 3, 1, "", "fetch_atlas_craddock_2012"], [192, 3, 1, "", "fetch_atlas_destrieux_2009"], [193, 3, 1, "", "fetch_atlas_difumo"], [194, 3, 1, "", "fetch_atlas_harvard_oxford"], [195, 3, 1, "", "fetch_atlas_juelich"], [196, 3, 1, "", "fetch_atlas_msdl"], [197, 3, 1, "", "fetch_atlas_pauli_2017"], [198, 3, 1, "", "fetch_atlas_schaefer_2018"], [199, 3, 1, "", "fetch_atlas_smith_2009"], [200, 3, 1, "", "fetch_atlas_surf_destrieux"], [201, 3, 1, "", "fetch_atlas_talairach"], [202, 3, 1, "", "fetch_atlas_yeo_2011"], [203, 3, 1, "", "fetch_bids_langloc_dataset"], [204, 3, 1, "", "fetch_coords_dosenbach_2010"], [205, 3, 1, "", "fetch_coords_power_2011"], [206, 3, 1, "", "fetch_coords_seitzman_2018"], [207, 3, 1, "", "fetch_development_fmri"], [208, 3, 1, "", "fetch_ds000030_urls"], [209, 3, 1, "", "fetch_fiac_first_level"], [210, 3, 1, "", "fetch_haxby"], [211, 3, 1, "", "fetch_icbm152_2009"], [212, 3, 1, "", "fetch_icbm152_brain_gm_mask"], [213, 3, 1, "", "fetch_language_localizer_demo_dataset"], [214, 3, 1, "", "fetch_localizer_button_task"], [215, 3, 1, "", "fetch_localizer_calculation_task"], [216, 3, 1, "", "fetch_localizer_contrasts"], [217, 3, 1, "", "fetch_localizer_first_level"], [218, 3, 1, "", "fetch_megatrawls_netmats"], [219, 3, 1, "", "fetch_mixed_gambles"], [220, 3, 1, "", "fetch_miyawaki2008"], [221, 3, 1, "", "fetch_neurovault"], [222, 3, 1, "", "fetch_neurovault_auditory_computation_task"], [223, 3, 1, "", "fetch_neurovault_ids"], [224, 3, 1, "", "fetch_neurovault_motor_task"], [225, 3, 1, "", "fetch_oasis_vbm"], [226, 3, 1, "", "fetch_openneuro_dataset"], [227, 3, 1, "", "fetch_openneuro_dataset_index"], [228, 3, 1, "", "fetch_spm_auditory"], [229, 3, 1, "", "fetch_spm_multimodal_fmri"], [230, 3, 1, "", "fetch_surf_fsaverage"], [231, 3, 1, "", "fetch_surf_nki_enhanced"], [232, 3, 1, "", "get_data_dirs"], [233, 3, 1, "", "load_mni152_brain_mask"], [234, 3, 1, "", "load_mni152_gm_mask"], [235, 3, 1, "", "load_mni152_gm_template"], [236, 3, 1, "", "load_mni152_template"], [237, 3, 1, "", "load_mni152_wm_mask"], [238, 3, 1, "", "load_mni152_wm_template"], [239, 3, 1, "", "patch_openneuro_dataset"], [240, 3, 1, "", "select_from_index"]], "nilearn.decoding": [[241, 1, 1, "", "Decoder"], [242, 1, 1, "", "DecoderRegressor"], [243, 1, 1, "", "FREMClassifier"], [244, 1, 1, "", "FREMRegressor"], [245, 1, 1, "", "SearchLight"], [246, 1, 1, "", "SpaceNetClassifier"], [247, 1, 1, "", "SpaceNetRegressor"]], "nilearn.decoding.Decoder": [[241, 2, 1, "", "__init__"], [241, 2, 1, "", "decision_function"], [241, 2, 1, "", "fit"], [241, 2, 1, "", "get_params"], [241, 2, 1, "", "predict"], [241, 2, 1, "", "score"], [241, 2, 1, "", "set_params"]], "nilearn.decoding.DecoderRegressor": [[242, 2, 1, "", "__init__"], [242, 2, 1, "", "decision_function"], [242, 2, 1, "", "fit"], [242, 2, 1, "", "get_params"], [242, 2, 1, "", "predict"], [242, 2, 1, "", "score"], [242, 2, 1, "", "set_params"]], "nilearn.decoding.FREMClassifier": [[243, 2, 1, "", "__init__"], [243, 2, 1, "", "decision_function"], [243, 2, 1, "", "fit"], [243, 2, 1, "", "get_params"], [243, 2, 1, "", "predict"], [243, 2, 1, "", "score"], [243, 2, 1, "", "set_params"]], "nilearn.decoding.FREMRegressor": [[244, 2, 1, "", "__init__"], [244, 2, 1, "", "decision_function"], [244, 2, 1, "", "fit"], [244, 2, 1, "", "get_params"], [244, 2, 1, "", "predict"], [244, 2, 1, "", "score"], [244, 2, 1, "", "set_params"]], "nilearn.decoding.SearchLight": [[245, 2, 1, "", "__init__"], [245, 2, 1, "", "fit"], [245, 2, 1, "", "get_params"], [245, 2, 1, "", "set_params"]], "nilearn.decoding.SpaceNetClassifier": [[246, 4, 1, "", "SUPPORTED_LOSSES"], [246, 4, 1, "", "SUPPORTED_PENALTIES"], [246, 2, 1, "", "__init__"], [246, 2, 1, "", "check_params"], [246, 2, 1, "", "decision_function"], [246, 2, 1, "", "fit"], [246, 2, 1, "", "get_params"], [246, 2, 1, "", "predict"], [246, 2, 1, "", "score"], [246, 2, 1, "", "set_params"]], "nilearn.decoding.SpaceNetRegressor": [[247, 4, 1, "", "SUPPORTED_LOSSES"], [247, 4, 1, "", "SUPPORTED_PENALTIES"], [247, 2, 1, "", "__init__"], [247, 2, 1, "", "check_params"], [247, 2, 1, "", "decision_function"], [247, 2, 1, "", "fit"], [247, 2, 1, "", "get_params"], [247, 2, 1, "", "predict"], [247, 2, 1, "", "score"], [247, 2, 1, "", "set_params"]], "nilearn.decomposition": [[248, 1, 1, "", "CanICA"], [249, 1, 1, "", "DictLearning"]], "nilearn.decomposition.CanICA": [[248, 2, 1, "", "__init__"], [248, 2, 1, "", "fit"], [248, 2, 1, "", "fit_transform"], [248, 2, 1, "", "get_params"], [248, 2, 1, "", "inverse_transform"], [248, 2, 1, "", "score"], [248, 2, 1, "", "set_params"], [248, 2, 1, "", "transform"]], "nilearn.decomposition.DictLearning": [[249, 2, 1, "", "__init__"], [249, 2, 1, "", "fit"], [249, 2, 1, "", "fit_transform"], [249, 2, 1, "", "get_params"], [249, 2, 1, "", "inverse_transform"], [249, 2, 1, "", "score"], [249, 2, 1, "", "set_params"], [249, 2, 1, "", "transform"]], "nilearn.glm": [[250, 1, 1, "", "ARModel"], [251, 1, 1, "", "Contrast"], [252, 1, 1, "", "FContrastResults"], [253, 1, 1, "", "LikelihoodModelResults"], [254, 1, 1, "", "OLSModel"], [255, 1, 1, "", "RegressionResults"], [256, 1, 1, "", "SimpleRegressionResults"], [257, 1, 1, "", "TContrastResults"], [258, 3, 1, "", "cluster_level_inference"], [259, 3, 1, "", "compute_contrast"], [260, 3, 1, "", "compute_fixed_effects"], [261, 3, 1, "", "expression_to_contrast_vector"], [262, 3, 1, "", "fdr_threshold"], [402, 0, 0, "-", "first_level"], [402, 0, 0, "-", "second_level"], [279, 3, 1, "", "threshold_stats_img"]], "nilearn.glm.ARModel": [[250, 2, 1, "", "__init__"], [250, 2, 1, "", "fit"], [250, 2, 1, "", "initialize"], [250, 2, 1, "", "logL"], [250, 2, 1, "", "whiten"]], "nilearn.glm.Contrast": [[251, 2, 1, "", "__init__"], [251, 2, 1, "", "effect_size"], [251, 2, 1, "", "effect_variance"], [251, 2, 1, "", "one_minus_pvalue"], [251, 2, 1, "", "p_value"], [251, 2, 1, "", "stat"], [251, 2, 1, "", "z_score"]], "nilearn.glm.FContrastResults": [[252, 2, 1, "", "__init__"]], "nilearn.glm.LikelihoodModelResults": [[253, 2, 1, "", "Fcontrast"], [253, 2, 1, "", "Tcontrast"], [253, 2, 1, "", "__init__"], [253, 2, 1, "", "conf_int"], [253, 2, 1, "", "logL"], [253, 2, 1, "", "t"], [253, 2, 1, "", "vcov"]], "nilearn.glm.OLSModel": [[254, 2, 1, "", "__init__"], [254, 2, 1, "", "fit"], [254, 2, 1, "", "initialize"], [254, 2, 1, "", "logL"], [254, 2, 1, "", "whiten"]], "nilearn.glm.RegressionResults": [[255, 2, 1, "", "Fcontrast"], [255, 2, 1, "", "MSE"], [255, 2, 1, "", "SSE"], [255, 2, 1, "", "Tcontrast"], [255, 2, 1, "", "__init__"], [255, 2, 1, "", "conf_int"], [255, 2, 1, "", "logL"], [255, 2, 1, "", "normalized_residuals"], [255, 2, 1, "", "predicted"], [255, 2, 1, "", "r_square"], [255, 2, 1, "", "residuals"], [255, 2, 1, "", "t"], [255, 2, 1, "", "vcov"]], "nilearn.glm.SimpleRegressionResults": [[256, 2, 1, "", "Fcontrast"], [256, 2, 1, "", "Tcontrast"], [256, 2, 1, "", "__init__"], [256, 2, 1, "", "conf_int"], [256, 2, 1, "", "logL"], [256, 2, 1, "", "normalized_residuals"], [256, 2, 1, "", "predicted"], [256, 2, 1, "", "residuals"], [256, 2, 1, "", "t"], [256, 2, 1, "", "vcov"]], "nilearn.glm.TContrastResults": [[257, 2, 1, "", "__init__"]], "nilearn.glm.first_level": [[263, 1, 1, "", "FirstLevelModel"], [264, 3, 1, "", "check_design_matrix"], [265, 3, 1, "", "compute_regressor"], [266, 3, 1, "", "first_level_from_bids"], [267, 3, 1, "", "glover_dispersion_derivative"], [268, 3, 1, "", "glover_hrf"], [269, 3, 1, "", "glover_time_derivative"], [270, 3, 1, "", "make_first_level_design_matrix"], [271, 3, 1, "", "mean_scaling"], [272, 3, 1, "", "run_glm"], [273, 3, 1, "", "spm_dispersion_derivative"], [274, 3, 1, "", "spm_hrf"], [275, 3, 1, "", "spm_time_derivative"]], "nilearn.glm.first_level.FirstLevelModel": [[263, 2, 1, "", "__init__"], [263, 2, 1, "", "compute_contrast"], [263, 2, 1, "", "fit"], [263, 2, 1, "", "fit_transform"], [263, 2, 1, "", "generate_report"], [263, 2, 1, "", "get_params"], [263, 2, 1, "", "predicted"], [263, 2, 1, "", "r_square"], [263, 2, 1, "", "residuals"], [263, 5, 1, "", "scaling_axis"], [263, 2, 1, "", "set_params"]], "nilearn.glm.second_level": [[276, 1, 1, "", "SecondLevelModel"], [277, 3, 1, "", "make_second_level_design_matrix"], [278, 3, 1, "", "non_parametric_inference"]], "nilearn.glm.second_level.SecondLevelModel": [[276, 2, 1, "", "__init__"], [276, 2, 1, "", "compute_contrast"], [276, 2, 1, "", "fit"], [276, 2, 1, "", "fit_transform"], [276, 2, 1, "", "generate_report"], [276, 2, 1, "", "get_params"], [276, 2, 1, "", "predicted"], [276, 2, 1, "", "r_square"], [276, 2, 1, "", "residuals"], [276, 2, 1, "", "set_params"]], "nilearn.image": [[280, 3, 1, "", "binarize_img"], [281, 3, 1, "", "clean_img"], [282, 3, 1, "", "concat_imgs"], [283, 3, 1, "", "coord_transform"], [284, 3, 1, "", "copy_img"], [285, 3, 1, "", "crop_img"], [286, 3, 1, "", "get_data"], [287, 3, 1, "", "high_variance_confounds"], [288, 3, 1, "", "index_img"], [289, 3, 1, "", "iter_img"], [290, 3, 1, "", "largest_connected_component_img"], [291, 3, 1, "", "load_img"], [292, 3, 1, "", "math_img"], [293, 3, 1, "", "mean_img"], [294, 3, 1, "", "new_img_like"], [295, 3, 1, "", "reorder_img"], [296, 3, 1, "", "resample_img"], [297, 3, 1, "", "resample_to_img"], [298, 3, 1, "", "smooth_img"], [299, 3, 1, "", "swap_img_hemispheres"], [300, 3, 1, "", "threshold_img"]], "nilearn.interfaces": [[405, 0, 0, "-", "bids"], [405, 0, 0, "-", "fmriprep"], [405, 0, 0, "-", "fsl"]], "nilearn.interfaces.bids": [[301, 3, 1, "", "get_bids_files"], [302, 3, 1, "", "parse_bids_filename"], [303, 3, 1, "", "save_glm_to_bids"]], "nilearn.interfaces.fmriprep": [[304, 3, 1, "", "load_confounds"], [305, 3, 1, "", "load_confounds_strategy"]], "nilearn.interfaces.fsl": [[306, 3, 1, "", "get_design_from_fslmat"]], "nilearn.maskers": [[307, 1, 1, "", "BaseMasker"], [308, 1, 1, "", "MultiNiftiMasker"], [309, 1, 1, "", "NiftiLabelsMasker"], [310, 1, 1, "", "NiftiMapsMasker"], [311, 1, 1, "", "NiftiMasker"], [312, 1, 1, "", "NiftiSpheresMasker"]], "nilearn.maskers.BaseMasker": [[307, 2, 1, "", "__init__"], [307, 2, 1, "", "fit_transform"], [307, 2, 1, "", "get_params"], [307, 2, 1, "", "inverse_transform"], [307, 2, 1, "", "set_params"], [307, 2, 1, "", "transform"], [307, 2, 1, "", "transform_single_imgs"]], "nilearn.maskers.MultiNiftiMasker": [[308, 2, 1, "", "__init__"], [308, 2, 1, "", "fit"], [308, 2, 1, "", "fit_transform"], [308, 2, 1, "", "generate_report"], [308, 2, 1, "", "get_params"], [308, 2, 1, "", "inverse_transform"], [308, 2, 1, "", "set_params"], [308, 2, 1, "", "transform"], [308, 2, 1, "", "transform_imgs"], [308, 2, 1, "", "transform_single_imgs"]], "nilearn.maskers.NiftiLabelsMasker": [[309, 2, 1, "", "__init__"], [309, 2, 1, "", "fit"], [309, 2, 1, "", "fit_transform"], [309, 2, 1, "", "generate_report"], [309, 2, 1, "", "get_params"], [309, 2, 1, "", "inverse_transform"], [309, 2, 1, "", "set_params"], [309, 2, 1, "", "transform"], [309, 2, 1, "", "transform_single_imgs"]], "nilearn.maskers.NiftiMapsMasker": [[310, 2, 1, "", "__init__"], [310, 2, 1, "", "fit"], [310, 2, 1, "", "fit_transform"], [310, 2, 1, "", "generate_report"], [310, 2, 1, "", "get_params"], [310, 2, 1, "", "inverse_transform"], [310, 2, 1, "", "set_params"], [310, 2, 1, "", "transform"], [310, 2, 1, "", "transform_single_imgs"]], "nilearn.maskers.NiftiMasker": [[311, 2, 1, "", "__init__"], [311, 2, 1, "", "fit"], [311, 2, 1, "", "fit_transform"], [311, 2, 1, "", "generate_report"], [311, 2, 1, "", "get_params"], [311, 2, 1, "", "inverse_transform"], [311, 2, 1, "", "set_params"], [311, 2, 1, "", "transform"], [311, 2, 1, "", "transform_single_imgs"]], "nilearn.maskers.NiftiSpheresMasker": [[312, 2, 1, "", "__init__"], [312, 2, 1, "", "fit"], [312, 2, 1, "", "fit_transform"], [312, 2, 1, "", "get_params"], [312, 2, 1, "", "inverse_transform"], [312, 2, 1, "", "set_params"], [312, 2, 1, "", "transform"], [312, 2, 1, "", "transform_single_imgs"]], "nilearn.masking": [[313, 3, 1, "", "apply_mask"], [314, 3, 1, "", "compute_background_mask"], [315, 3, 1, "", "compute_brain_mask"], [316, 3, 1, "", "compute_epi_mask"], [317, 3, 1, "", "compute_multi_background_mask"], [318, 3, 1, "", "compute_multi_brain_mask"], [319, 3, 1, "", "compute_multi_epi_mask"], [320, 3, 1, "", "intersect_masks"], [321, 3, 1, "", "unmask"]], "nilearn.mass_univariate": [[322, 3, 1, "", "permuted_ols"]], "nilearn.plotting": [[409, 0, 0, "-", "displays"], [353, 3, 1, "", "find_cut_slices"], [354, 3, 1, "", "find_parcellation_cut_coords"], [355, 3, 1, "", "find_probabilistic_atlas_cut_coords"], [356, 3, 1, "", "find_xyz_cut_coords"], [357, 3, 1, "", "plot_anat"], [358, 3, 1, "", "plot_carpet"], [359, 3, 1, "", "plot_connectome"], [360, 3, 1, "", "plot_contrast_matrix"], [361, 3, 1, "", "plot_design_matrix"], [362, 3, 1, "", "plot_epi"], [363, 3, 1, "", "plot_event"], [364, 3, 1, "", "plot_glass_brain"], [365, 3, 1, "", "plot_img"], [366, 3, 1, "", "plot_img_comparison"], [367, 3, 1, "", "plot_img_on_surf"], [368, 3, 1, "", "plot_markers"], [369, 3, 1, "", "plot_matrix"], [370, 3, 1, "", "plot_prob_atlas"], [371, 3, 1, "", "plot_roi"], [372, 3, 1, "", "plot_stat_map"], [373, 3, 1, "", "plot_surf"], [374, 3, 1, "", "plot_surf_contours"], [375, 3, 1, "", "plot_surf_roi"], [376, 3, 1, "", "plot_surf_stat_map"], [377, 3, 1, "", "show"], [378, 3, 1, "", "view_connectome"], [379, 3, 1, "", "view_img"], [380, 3, 1, "", "view_img_on_surf"], [381, 3, 1, "", "view_markers"], [382, 3, 1, "", "view_surf"]], "nilearn.plotting.displays": [[323, 1, 1, "", "BaseAxes"], [324, 1, 1, "", "BaseSlicer"], [325, 1, 1, "", "CutAxes"], [326, 1, 1, "", "GlassBrainAxes"], [327, 1, 1, "", "LProjector"], [328, 1, 1, "", "LRProjector"], [329, 1, 1, "", "LYRProjector"], [330, 1, 1, "", "LYRZProjector"], [331, 1, 1, "", "LZRProjector"], [332, 1, 1, "", "LZRYProjector"], [333, 1, 1, "", "MosaicSlicer"], [334, 1, 1, "", "OrthoProjector"], [335, 1, 1, "", "OrthoSlicer"], [336, 1, 1, "", "PlotlySurfaceFigure"], [337, 1, 1, "", "RProjector"], [338, 1, 1, "", "TiledSlicer"], [339, 1, 1, "", "XProjector"], [340, 1, 1, "", "XSlicer"], [341, 1, 1, "", "XZProjector"], [342, 1, 1, "", "XZSlicer"], [343, 1, 1, "", "YProjector"], [344, 1, 1, "", "YSlicer"], [345, 1, 1, "", "YXProjector"], [346, 1, 1, "", "YXSlicer"], [347, 1, 1, "", "YZProjector"], [348, 1, 1, "", "YZSlicer"], [349, 1, 1, "", "ZProjector"], [350, 1, 1, "", "ZSlicer"], [351, 3, 1, "", "get_projector"], [352, 3, 1, "", "get_slicer"]], "nilearn.plotting.displays.BaseAxes": [[323, 2, 1, "", "__init__"], [323, 2, 1, "", "add_object_bounds"], [323, 2, 1, "", "draw_2d"], [323, 2, 1, "", "draw_left_right"], [323, 2, 1, "", "draw_position"], [323, 2, 1, "", "draw_scale_bar"], [323, 2, 1, "", "get_object_bounds"], [323, 2, 1, "", "transform_to_2d"]], "nilearn.plotting.displays.BaseSlicer": [[324, 2, 1, "", "__init__"], [324, 2, 1, "", "add_contours"], [324, 2, 1, "", "add_edges"], [324, 2, 1, "", "add_markers"], [324, 2, 1, "", "add_overlay"], [324, 2, 1, "", "annotate"], [324, 5, 1, "", "black_bg"], [324, 5, 1, "", "brain_color"], [324, 2, 1, "", "close"], [324, 2, 1, "", "find_cut_coords"], [324, 2, 1, "", "init_with_figure"], [324, 2, 1, "", "savefig"], [324, 2, 1, "", "title"]], "nilearn.plotting.displays.CutAxes": [[325, 2, 1, "", "__init__"], [325, 2, 1, "", "add_object_bounds"], [325, 2, 1, "", "draw_2d"], [325, 2, 1, "", "draw_left_right"], [325, 2, 1, "", "draw_position"], [325, 2, 1, "", "draw_scale_bar"], [325, 2, 1, "", "get_object_bounds"], [325, 2, 1, "", "transform_to_2d"]], "nilearn.plotting.displays.GlassBrainAxes": [[326, 2, 1, "", "__init__"], [326, 2, 1, "", "add_object_bounds"], [326, 2, 1, "", "draw_2d"], [326, 2, 1, "", "draw_left_right"], [326, 2, 1, "", "draw_position"], [326, 2, 1, "", "draw_scale_bar"], [326, 2, 1, "", "get_object_bounds"], [326, 2, 1, "", "transform_to_2d"]], "nilearn.plotting.displays.LProjector": [[327, 2, 1, "", "__init__"], [327, 2, 1, "", "add_contours"], [327, 2, 1, "", "add_edges"], [327, 2, 1, "", "add_graph"], [327, 2, 1, "", "add_markers"], [327, 2, 1, "", "add_overlay"], [327, 2, 1, "", "annotate"], [327, 5, 1, "", "black_bg"], [327, 5, 1, "", "brain_color"], [327, 2, 1, "", "close"], [327, 2, 1, "", "draw_cross"], [327, 2, 1, "", "find_cut_coords"], [327, 2, 1, "", "init_with_figure"], [327, 2, 1, "", "savefig"], [327, 2, 1, "", "title"]], "nilearn.plotting.displays.LRProjector": [[328, 2, 1, "", "__init__"], [328, 2, 1, "", "add_contours"], [328, 2, 1, "", "add_edges"], [328, 2, 1, "", "add_graph"], [328, 2, 1, "", "add_markers"], [328, 2, 1, "", "add_overlay"], [328, 2, 1, "", "annotate"], [328, 5, 1, "", "black_bg"], [328, 5, 1, "", "brain_color"], [328, 2, 1, "", "close"], [328, 2, 1, "", "draw_cross"], [328, 2, 1, "", "find_cut_coords"], [328, 2, 1, "", "init_with_figure"], [328, 2, 1, "", "savefig"], [328, 2, 1, "", "title"]], "nilearn.plotting.displays.LYRProjector": [[329, 2, 1, "", "__init__"], [329, 2, 1, "", "add_contours"], [329, 2, 1, "", "add_edges"], [329, 2, 1, "", "add_graph"], [329, 2, 1, "", "add_markers"], [329, 2, 1, "", "add_overlay"], [329, 2, 1, "", "annotate"], [329, 5, 1, "", "black_bg"], [329, 5, 1, "", "brain_color"], [329, 2, 1, "", "close"], [329, 2, 1, "", "draw_cross"], [329, 2, 1, "", "find_cut_coords"], [329, 2, 1, "", "init_with_figure"], [329, 2, 1, "", "savefig"], [329, 2, 1, "", "title"]], "nilearn.plotting.displays.LYRZProjector": [[330, 2, 1, "", "__init__"], [330, 2, 1, "", "add_contours"], [330, 2, 1, "", "add_edges"], [330, 2, 1, "", "add_graph"], [330, 2, 1, "", "add_markers"], [330, 2, 1, "", "add_overlay"], [330, 2, 1, "", "annotate"], [330, 5, 1, "", "black_bg"], [330, 5, 1, "", "brain_color"], [330, 2, 1, "", "close"], [330, 2, 1, "", "draw_cross"], [330, 2, 1, "", "find_cut_coords"], [330, 2, 1, "", "init_with_figure"], [330, 2, 1, "", "savefig"], [330, 2, 1, "", "title"]], "nilearn.plotting.displays.LZRProjector": [[331, 2, 1, "", "__init__"], [331, 2, 1, "", "add_contours"], [331, 2, 1, "", "add_edges"], [331, 2, 1, "", "add_graph"], [331, 2, 1, "", "add_markers"], [331, 2, 1, "", "add_overlay"], [331, 2, 1, "", "annotate"], [331, 5, 1, "", "black_bg"], [331, 5, 1, "", "brain_color"], [331, 2, 1, "", "close"], [331, 2, 1, "", "draw_cross"], [331, 2, 1, "", "find_cut_coords"], [331, 2, 1, "", "init_with_figure"], [331, 2, 1, "", "savefig"], [331, 2, 1, "", "title"]], "nilearn.plotting.displays.LZRYProjector": [[332, 2, 1, "", "__init__"], [332, 2, 1, "", "add_contours"], [332, 2, 1, "", "add_edges"], [332, 2, 1, "", "add_graph"], [332, 2, 1, "", "add_markers"], [332, 2, 1, "", "add_overlay"], [332, 2, 1, "", "annotate"], [332, 5, 1, "", "black_bg"], [332, 5, 1, "", "brain_color"], [332, 2, 1, "", "close"], [332, 2, 1, "", "draw_cross"], [332, 2, 1, "", "find_cut_coords"], [332, 2, 1, "", "init_with_figure"], [332, 2, 1, "", "savefig"], [332, 2, 1, "", "title"]], "nilearn.plotting.displays.MosaicSlicer": [[333, 2, 1, "", "__init__"], [333, 2, 1, "", "add_contours"], [333, 2, 1, "", "add_edges"], [333, 2, 1, "", "add_markers"], [333, 2, 1, "", "add_overlay"], [333, 2, 1, "", "annotate"], [333, 5, 1, "", "black_bg"], [333, 5, 1, "", "brain_color"], [333, 2, 1, "", "close"], [333, 2, 1, "", "draw_cross"], [333, 2, 1, "", "find_cut_coords"], [333, 2, 1, "", "init_with_figure"], [333, 2, 1, "", "savefig"], [333, 2, 1, "", "title"]], "nilearn.plotting.displays.OrthoProjector": [[334, 2, 1, "", "__init__"], [334, 2, 1, "", "add_contours"], [334, 2, 1, "", "add_edges"], [334, 2, 1, "", "add_graph"], [334, 2, 1, "", "add_markers"], [334, 2, 1, "", "add_overlay"], [334, 2, 1, "", "annotate"], [334, 5, 1, "", "black_bg"], [334, 5, 1, "", "brain_color"], [334, 2, 1, "", "close"], [334, 2, 1, "", "draw_cross"], [334, 2, 1, "", "find_cut_coords"], [334, 2, 1, "", "init_with_figure"], [334, 2, 1, "", "savefig"], [334, 2, 1, "", "title"]], "nilearn.plotting.displays.OrthoSlicer": [[335, 2, 1, "", "__init__"], [335, 2, 1, "", "add_contours"], [335, 2, 1, "", "add_edges"], [335, 2, 1, "", "add_markers"], [335, 2, 1, "", "add_overlay"], [335, 2, 1, "", "annotate"], [335, 5, 1, "", "black_bg"], [335, 5, 1, "", "brain_color"], [335, 2, 1, "", "close"], [335, 2, 1, "", "draw_cross"], [335, 2, 1, "", "find_cut_coords"], [335, 2, 1, "", "init_with_figure"], [335, 2, 1, "", "savefig"], [335, 2, 1, "", "title"]], "nilearn.plotting.displays.PlotlySurfaceFigure": [[336, 2, 1, "", "__init__"], [336, 2, 1, "", "savefig"], [336, 2, 1, "", "show"]], "nilearn.plotting.displays.RProjector": [[337, 2, 1, "", "__init__"], [337, 2, 1, "", "add_contours"], [337, 2, 1, "", "add_edges"], [337, 2, 1, "", "add_graph"], [337, 2, 1, "", "add_markers"], [337, 2, 1, "", "add_overlay"], [337, 2, 1, "", "annotate"], [337, 5, 1, "", "black_bg"], [337, 5, 1, "", "brain_color"], [337, 2, 1, "", "close"], [337, 2, 1, "", "draw_cross"], [337, 2, 1, "", "find_cut_coords"], [337, 2, 1, "", "init_with_figure"], [337, 2, 1, "", "savefig"], [337, 2, 1, "", "title"]], "nilearn.plotting.displays.TiledSlicer": [[338, 2, 1, "", "__init__"], [338, 2, 1, "", "add_contours"], [338, 2, 1, "", "add_edges"], [338, 2, 1, "", "add_markers"], [338, 2, 1, "", "add_overlay"], [338, 2, 1, "", "annotate"], [338, 5, 1, "", "black_bg"], [338, 5, 1, "", "brain_color"], [338, 2, 1, "", "close"], [338, 2, 1, "", "draw_cross"], [338, 2, 1, "", "find_cut_coords"], [338, 2, 1, "", "init_with_figure"], [338, 2, 1, "", "savefig"], [338, 2, 1, "", "title"]], "nilearn.plotting.displays.XProjector": [[339, 2, 1, "", "__init__"], [339, 2, 1, "", "add_contours"], [339, 2, 1, "", "add_edges"], [339, 2, 1, "", "add_graph"], [339, 2, 1, "", "add_markers"], [339, 2, 1, "", "add_overlay"], [339, 2, 1, "", "annotate"], [339, 5, 1, "", "black_bg"], [339, 5, 1, "", "brain_color"], [339, 2, 1, "", "close"], [339, 2, 1, "", "draw_cross"], [339, 2, 1, "", "find_cut_coords"], [339, 2, 1, "", "init_with_figure"], [339, 2, 1, "", "savefig"], [339, 2, 1, "", "title"]], "nilearn.plotting.displays.XSlicer": [[340, 2, 1, "", "__init__"], [340, 2, 1, "", "add_contours"], [340, 2, 1, "", "add_edges"], [340, 2, 1, "", "add_markers"], [340, 2, 1, "", "add_overlay"], [340, 2, 1, "", "annotate"], [340, 5, 1, "", "black_bg"], [340, 5, 1, "", "brain_color"], [340, 2, 1, "", "close"], [340, 2, 1, "", "draw_cross"], [340, 2, 1, "", "find_cut_coords"], [340, 2, 1, "", "init_with_figure"], [340, 2, 1, "", "savefig"], [340, 2, 1, "", "title"]], "nilearn.plotting.displays.XZProjector": [[341, 2, 1, "", "__init__"], [341, 2, 1, "", "add_contours"], [341, 2, 1, "", "add_edges"], [341, 2, 1, "", "add_graph"], [341, 2, 1, "", "add_markers"], [341, 2, 1, "", "add_overlay"], [341, 2, 1, "", "annotate"], [341, 5, 1, "", "black_bg"], [341, 5, 1, "", "brain_color"], [341, 2, 1, "", "close"], [341, 2, 1, "", "draw_cross"], [341, 2, 1, "", "find_cut_coords"], [341, 2, 1, "", "init_with_figure"], [341, 2, 1, "", "savefig"], [341, 2, 1, "", "title"]], "nilearn.plotting.displays.XZSlicer": [[342, 2, 1, "", "__init__"], [342, 2, 1, "", "add_contours"], [342, 2, 1, "", "add_edges"], [342, 2, 1, "", "add_markers"], [342, 2, 1, "", "add_overlay"], [342, 2, 1, "", "annotate"], [342, 5, 1, "", "black_bg"], [342, 5, 1, "", "brain_color"], [342, 2, 1, "", "close"], [342, 2, 1, "", "draw_cross"], [342, 2, 1, "", "find_cut_coords"], [342, 2, 1, "", "init_with_figure"], [342, 2, 1, "", "savefig"], [342, 2, 1, "", "title"]], "nilearn.plotting.displays.YProjector": [[343, 2, 1, "", "__init__"], [343, 2, 1, "", "add_contours"], [343, 2, 1, "", "add_edges"], [343, 2, 1, "", "add_graph"], [343, 2, 1, "", "add_markers"], [343, 2, 1, "", "add_overlay"], [343, 2, 1, "", "annotate"], [343, 5, 1, "", "black_bg"], [343, 5, 1, "", "brain_color"], [343, 2, 1, "", "close"], [343, 2, 1, "", "draw_cross"], [343, 2, 1, "", "find_cut_coords"], [343, 2, 1, "", "init_with_figure"], [343, 2, 1, "", "savefig"], [343, 2, 1, "", "title"]], "nilearn.plotting.displays.YSlicer": [[344, 2, 1, "", "__init__"], [344, 2, 1, "", "add_contours"], [344, 2, 1, "", "add_edges"], [344, 2, 1, "", "add_markers"], [344, 2, 1, "", "add_overlay"], [344, 2, 1, "", "annotate"], [344, 5, 1, "", "black_bg"], [344, 5, 1, "", "brain_color"], [344, 2, 1, "", "close"], [344, 2, 1, "", "draw_cross"], [344, 2, 1, "", "find_cut_coords"], [344, 2, 1, "", "init_with_figure"], [344, 2, 1, "", "savefig"], [344, 2, 1, "", "title"]], "nilearn.plotting.displays.YXProjector": [[345, 2, 1, "", "__init__"], [345, 2, 1, "", "add_contours"], [345, 2, 1, "", "add_edges"], [345, 2, 1, "", "add_graph"], [345, 2, 1, "", "add_markers"], [345, 2, 1, "", "add_overlay"], [345, 2, 1, "", "annotate"], [345, 5, 1, "", "black_bg"], [345, 5, 1, "", "brain_color"], [345, 2, 1, "", "close"], [345, 2, 1, "", "draw_cross"], [345, 2, 1, "", "find_cut_coords"], [345, 2, 1, "", "init_with_figure"], [345, 2, 1, "", "savefig"], [345, 2, 1, "", "title"]], "nilearn.plotting.displays.YXSlicer": [[346, 2, 1, "", "__init__"], [346, 2, 1, "", "add_contours"], [346, 2, 1, "", "add_edges"], [346, 2, 1, "", "add_markers"], [346, 2, 1, "", "add_overlay"], [346, 2, 1, "", "annotate"], [346, 5, 1, "", "black_bg"], [346, 5, 1, "", "brain_color"], [346, 2, 1, "", "close"], [346, 2, 1, "", "draw_cross"], [346, 2, 1, "", "find_cut_coords"], [346, 2, 1, "", "init_with_figure"], [346, 2, 1, "", "savefig"], [346, 2, 1, "", "title"]], "nilearn.plotting.displays.YZProjector": [[347, 2, 1, "", "__init__"], [347, 2, 1, "", "add_contours"], [347, 2, 1, "", "add_edges"], [347, 2, 1, "", "add_graph"], [347, 2, 1, "", "add_markers"], [347, 2, 1, "", "add_overlay"], [347, 2, 1, "", "annotate"], [347, 5, 1, "", "black_bg"], [347, 5, 1, "", "brain_color"], [347, 2, 1, "", "close"], [347, 2, 1, "", "draw_cross"], [347, 2, 1, "", "find_cut_coords"], [347, 2, 1, "", "init_with_figure"], [347, 2, 1, "", "savefig"], [347, 2, 1, "", "title"]], "nilearn.plotting.displays.YZSlicer": [[348, 2, 1, "", "__init__"], [348, 2, 1, "", "add_contours"], [348, 2, 1, "", "add_edges"], [348, 2, 1, "", "add_markers"], [348, 2, 1, "", "add_overlay"], [348, 2, 1, "", "annotate"], [348, 5, 1, "", "black_bg"], [348, 5, 1, "", "brain_color"], [348, 2, 1, "", "close"], [348, 2, 1, "", "draw_cross"], [348, 2, 1, "", "find_cut_coords"], [348, 2, 1, "", "init_with_figure"], [348, 2, 1, "", "savefig"], [348, 2, 1, "", "title"]], "nilearn.plotting.displays.ZProjector": [[349, 2, 1, "", "__init__"], [349, 2, 1, "", "add_contours"], [349, 2, 1, "", "add_edges"], [349, 2, 1, "", "add_graph"], [349, 2, 1, "", "add_markers"], [349, 2, 1, "", "add_overlay"], [349, 2, 1, "", "annotate"], [349, 5, 1, "", "black_bg"], [349, 5, 1, "", "brain_color"], [349, 2, 1, "", "close"], [349, 2, 1, "", "draw_cross"], [349, 2, 1, "", "find_cut_coords"], [349, 2, 1, "", "init_with_figure"], [349, 2, 1, "", "savefig"], [349, 2, 1, "", "title"]], "nilearn.plotting.displays.ZSlicer": [[350, 2, 1, "", "__init__"], [350, 2, 1, "", "add_contours"], [350, 2, 1, "", "add_edges"], [350, 2, 1, "", "add_markers"], [350, 2, 1, "", "add_overlay"], [350, 2, 1, "", "annotate"], [350, 5, 1, "", "black_bg"], [350, 5, 1, "", "brain_color"], [350, 2, 1, "", "close"], [350, 2, 1, "", "draw_cross"], [350, 2, 1, "", "find_cut_coords"], [350, 2, 1, "", "init_with_figure"], [350, 2, 1, "", "savefig"], [350, 2, 1, "", "title"]], "nilearn.regions": [[383, 1, 1, "", "HierarchicalKMeans"], [384, 1, 1, "", "Parcellations"], [385, 1, 1, "", "ReNA"], [386, 1, 1, "", "RegionExtractor"], [387, 3, 1, "", "connected_label_regions"], [388, 3, 1, "", "connected_regions"], [389, 3, 1, "", "img_to_signals_labels"], [390, 3, 1, "", "img_to_signals_maps"], [391, 3, 1, "", "signals_to_img_labels"], [392, 3, 1, "", "signals_to_img_maps"]], "nilearn.regions.HierarchicalKMeans": [[383, 2, 1, "", "__init__"], [383, 2, 1, "", "fit"], [383, 2, 1, "", "fit_predict"], [383, 2, 1, "", "fit_transform"], [383, 2, 1, "", "get_params"], [383, 2, 1, "", "inverse_transform"], [383, 2, 1, "", "set_params"], [383, 2, 1, "", "transform"]], "nilearn.regions.Parcellations": [[384, 4, 1, "", "VALID_METHODS"], [384, 2, 1, "", "__init__"], [384, 2, 1, "", "fit"], [384, 2, 1, "", "fit_transform"], [384, 2, 1, "", "get_params"], [384, 2, 1, "", "inverse_transform"], [384, 2, 1, "", "score"], [384, 2, 1, "", "set_params"], [384, 2, 1, "", "transform"]], "nilearn.regions.ReNA": [[385, 2, 1, "", "__init__"], [385, 2, 1, "", "fit"], [385, 2, 1, "", "fit_predict"], [385, 2, 1, "", "fit_transform"], [385, 2, 1, "", "get_params"], [385, 2, 1, "", "inverse_transform"], [385, 2, 1, "", "set_params"], [385, 2, 1, "", "transform"]], "nilearn.regions.RegionExtractor": [[386, 2, 1, "", "__init__"], [386, 2, 1, "", "fit"], [386, 2, 1, "", "fit_transform"], [386, 2, 1, "", "generate_report"], [386, 2, 1, "", "get_params"], [386, 2, 1, "", "inverse_transform"], [386, 2, 1, "", "set_params"], [386, 2, 1, "", "transform"], [386, 2, 1, "", "transform_single_imgs"]], "nilearn.reporting": [[393, 1, 1, "", "HTMLReport"], [394, 3, 1, "", "get_clusters_table"], [395, 3, 1, "", "make_glm_report"]], "nilearn.reporting.HTMLReport": [[393, 2, 1, "", "__init__"], [393, 2, 1, "", "get_iframe"], [393, 2, 1, "", "get_standalone"], [393, 2, 1, "", "open_in_browser"], [393, 2, 1, "", "remove_temp_file"], [393, 2, 1, "", "resize"], [393, 2, 1, "", "save_as_html"]], "nilearn.signal": [[396, 3, 1, "", "butterworth"], [397, 3, 1, "", "clean"], [398, 3, 1, "", "high_variance_confounds"]], "nilearn.surface": [[399, 3, 1, "", "load_surf_data"], [400, 3, 1, "", "load_surf_mesh"], [401, 3, 1, "", "vol_to_surf"]]}, "objtypes": {"0": "py:module", "1": "py:class", "2": "py:method", "3": "py:function", "4": "py:attribute", "5": "py:property"}, "objnames": {"0": ["py", "module", "Python module"], "1": ["py", "class", "Python class"], "2": ["py", "method", "Python method"], "3": ["py", "function", "Python function"], "4": ["py", "attribute", "Python attribute"], "5": ["py", "property", "Python property"]}, "titleterms": {"team": [0, 161], "core": 0, "develop": [0, 48, 49, 50, 51, 58, 99, 416], "triag": [0, 161], "other": [0, 156], "contributor": [0, 120, 122, 125, 129, 132, 133, 134, 135, 136, 137, 146], "fund": 0, "cite": 0, "nilearn": [0, 4, 12, 13, 14, 15, 16, 29, 34, 152, 153, 161, 167, 168, 170, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400, 401, 402, 403, 405, 406, 407, 408, 409, 410, 411, 412, 413, 416], "scikit": [0, 35, 98, 113, 156, 168, 173], "learn": [0, 35, 48, 49, 50, 98, 113, 151, 152, 156, 168, 173], "basic": [1, 4, 5, 10, 66, 110, 168], "tutori": [1, 2, 3, 110, 168], "3d": [2, 9, 22, 52, 54, 58, 88, 171, 415], "4d": [2, 21, 113, 171, 172], "niimg": [2, 171], "handl": 2, "visual": [2, 3, 8, 9, 10, 11, 15, 16, 19, 20, 21, 22, 25, 26, 29, 30, 31, 36, 37, 40, 41, 42, 43, 49, 52, 54, 58, 81, 84, 98, 107, 110, 113, 150, 151, 152, 153, 158, 173, 415], "download": [2, 3, 49, 98, 113, 114, 171, 417], "dataset": [2, 6, 11, 15, 16, 17, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 41, 42, 43, 48, 49, 50, 51, 53, 58, 61, 62, 65, 75, 76, 79, 80, 99, 101, 105, 106, 108, 151, 155, 160, 161, 171, 175, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 414], "from": [2, 3, 11, 13, 15, 16, 24, 26, 28, 33, 39, 40, 41, 48, 49, 50, 56, 58, 62, 89, 91, 94, 98, 100, 105, 106, 110, 113, 114, 148, 157, 171, 172, 173, 405, 406, 414], "internet": [2, 13, 171], "file": [2, 4, 15, 29, 56, 72, 168, 171, 415], "one": [2, 50, 62, 79, 172], "volum": [2, 3, 9, 24, 25, 66, 83, 110, 170, 172, 173], "loop": [2, 3], "all": [2, 14, 153], "through": 2, "select": [2, 98, 114, 147, 153], "A": [3, 4, 44, 66, 148, 153, 163, 168], "introduct": [3, 153, 163, 168], "fmri": [3, 6, 35, 48, 49, 51, 58, 64, 65, 67, 69, 76, 79, 80, 98, 99, 104, 147, 148, 153, 163, 164], "decod": [3, 28, 29, 30, 31, 32, 33, 34, 35, 37, 41, 43, 98, 100, 110, 153, 155, 156, 157, 159, 168, 176, 241, 242, 243, 244, 245, 246, 247], "retriev": [3, 6, 10, 13, 14, 15, 16, 17, 19, 23, 29, 52, 54, 56, 58, 66, 98], "load": [3, 22, 29, 30, 31, 32, 33, 34, 35, 36, 37, 39, 40, 41, 42, 43, 47, 48, 51, 56, 75, 94, 98, 99, 113, 150, 153, 171, 173, 405], "data": [3, 4, 6, 9, 10, 11, 13, 14, 15, 16, 17, 22, 23, 25, 29, 30, 32, 33, 35, 39, 40, 41, 42, 44, 47, 48, 49, 52, 54, 55, 56, 57, 61, 64, 66, 67, 69, 71, 75, 89, 94, 98, 100, 103, 107, 113, 147, 150, 152, 153, 156, 158, 163, 171, 172, 173, 407, 409, 413], "haxbi": [3, 18, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 98, 153, 155], "studi": [3, 51, 98, 103, 107, 108, 155], "first": [3, 4, 15, 41, 60, 61, 62, 66, 69, 98, 100, 101, 108, 110, 153, 162, 168, 173, 414], "featur": [3, 15, 98, 120, 123, 146, 153, 167], "extract": [3, 23, 25, 33, 47, 50, 51, 52, 53, 54, 55, 56, 58, 61, 70, 87, 88, 89, 91, 147, 148, 151, 152, 162, 172, 173, 406], "matrix": [3, 35, 49, 52, 54, 56, 58, 78, 147, 148, 162, 414], "behavior": [3, 29, 33, 171], "label": [3, 11, 56, 86, 169], "restrict": [3, 36, 37], "analysi": [3, 6, 32, 36, 42, 55, 60, 61, 62, 64, 65, 67, 69, 74, 75, 81, 97, 100, 101, 102, 104, 105, 106, 107, 108, 110, 153, 156, 158, 162, 163, 408], "cat": 3, "face": [3, 29, 30, 31, 36, 37, 102], "support": 3, "vector": 3, "machin": [3, 113, 168], "measur": [3, 47, 98, 153, 156], "predict": [3, 28, 29, 34, 35, 41, 42, 43, 70, 98, 99, 110, 153, 154, 157, 162, 168], "score": [3, 6, 29, 34, 35, 36, 40, 158], "us": [3, 9, 15, 34, 35, 39, 48, 50, 51, 56, 87, 88, 91, 92, 98, 114, 150, 151, 153, 156, 164, 168, 171, 178, 180, 187, 189, 190, 192, 193, 194, 195, 196, 197, 199, 200, 202, 204, 205, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 228, 229, 230, 231, 232, 233, 236, 240, 241, 242, 243, 244, 245, 247, 248, 249, 251, 258, 259, 260, 263, 265, 266, 270, 272, 276, 277, 278, 279, 281, 282, 283, 286, 287, 288, 289, 291, 292, 293, 294, 296, 297, 298, 300, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 316, 321, 322, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 374, 375, 376, 377, 378, 379, 380, 382, 384, 386, 387, 388, 393, 394, 395, 399, 400, 401, 415], "cross": [3, 29, 34, 35, 98, 103, 153, 156, 158, 160], "valid": [3, 29, 34, 35, 98, 151, 153, 156, 158, 160], "manual": [3, 94, 112, 172], "leav": 3, "out": 3, "implement": 3, "kfold": 3, "inspect": 3, "model": [3, 40, 42, 62, 64, 65, 66, 67, 68, 70, 76, 77, 79, 80, 100, 101, 152, 154, 155, 156, 162, 163, 165, 168, 402, 414], "weight": [3, 31, 98, 153], "turn": [3, 49], "nifti": [3, 55, 171, 172], "imag": [3, 4, 8, 9, 16, 17, 28, 69, 81, 83, 85, 90, 93, 95, 97, 103, 107, 110, 113, 114, 157, 171, 172, 173, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 403, 406, 415], "plot": [3, 5, 6, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 22, 24, 32, 34, 35, 44, 47, 50, 55, 58, 66, 68, 70, 80, 107, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 409, 414, 415], "svm": [3, 29, 98, 153, 156], "what": [3, 51, 99, 146, 161, 163, 168], "i": [3, 51, 99, 163, 168, 171, 173], "chanc": [3, 98, 153, 156], "level": [3, 60, 61, 62, 66, 69, 74, 76, 77, 78, 79, 80, 81, 98, 101, 108, 110, 147, 153, 156, 162, 165, 414], "accuraci": [3, 153], "further": [3, 44, 98, 113, 156, 158], "read": [3, 158, 171], "exampl": [4, 33, 39, 44, 63, 64, 67, 68, 69, 77, 78, 92, 101, 108, 110, 114, 147, 148, 150, 152, 153, 158, 159, 167, 168, 172, 173, 178, 180, 187, 189, 190, 192, 193, 194, 195, 196, 197, 199, 200, 202, 204, 205, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 228, 229, 230, 231, 232, 233, 236, 240, 241, 242, 243, 244, 245, 247, 248, 249, 251, 258, 259, 260, 263, 265, 266, 270, 272, 276, 277, 278, 279, 281, 282, 283, 286, 287, 288, 289, 291, 292, 293, 294, 296, 297, 298, 300, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 316, 321, 322, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 374, 375, 376, 377, 378, 379, 380, 382, 384, 386, 387, 388, 393, 394, 395, 399, 400, 401, 415], "manipul": [4, 83, 110, 170, 172, 413], "look": 4, "step": [4, 168, 173], "our": [4, 41], "simpl": [4, 32, 44, 62, 64, 78, 81, 92, 153], "smooth": [4, 66, 95, 168, 172, 173], "save": [4, 15, 55, 62, 415], "result": [4, 9, 29, 32, 50, 53, 80, 81, 113, 150, 151, 152, 153], "numer": [5, 160, 168], "python": [5, 168, 171], "intro": 6, "glm": [6, 33, 60, 64, 67, 74, 110, 163, 164, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 402], "singl": [6, 15, 55, 71], "session": [6, 33, 64, 71], "subject": [6, 51, 53, 55, 62, 71, 79, 147, 152], "The": [6, 35, 56, 66, 86, 153, 159, 173], "specifi": 6, "experiment": [6, 78, 414], "paradigm": [6, 78, 107, 414], "perform": [6, 55, 61, 69, 81, 98, 153, 155, 156], "detect": 6, "voxel": [6, 42, 43, 55, 75, 94, 158, 165, 172], "signific": [6, 70], "effect": [6, 67], "threshold": [6, 62, 165, 414], "z": [6, 55, 107], "map": [6, 9, 12, 16, 17, 21, 30, 40, 42, 43, 47, 48, 55, 88, 94, 100, 103, 107, 114, 151, 153, 155, 159, 165, 175, 414, 415], "an": [6, 9, 44, 58, 65, 72, 86, 90, 93, 95, 152, 153, 161, 163, 415], "f": [6, 36, 70], "test": [6, 70, 79, 80, 81, 94, 98, 161], "comput": [7, 27, 34, 35, 36, 37, 45, 50, 52, 53, 56, 58, 59, 73, 82, 89, 94, 96, 107, 109, 113, 147, 148, 151, 162, 168, 172, 173], "time": [7, 11, 23, 25, 27, 45, 52, 54, 55, 58, 59, 66, 70, 73, 82, 89, 96, 109, 148, 160, 162, 173, 412], "brain": [8, 13, 14, 16, 19, 25, 28, 40, 42, 47, 48, 49, 50, 51, 56, 58, 83, 91, 97, 99, 110, 148, 150, 151, 152, 157, 170, 172, 406, 409, 415], "make": [9, 16, 32, 161, 169], "surfac": [9, 22, 23, 24, 37, 69, 108, 162, 399, 400, 401, 413, 415], "statist": [9, 16, 62, 81, 88, 94, 97, 107, 110, 114, 163, 165, 175, 414, 415], "get": [9, 24, 55, 70, 103, 161], "cortic": [9, 22, 37, 415], "mesh": [9, 24, 415], "sampl": [9, 24, 68, 79, 80], "around": [9, 51, 58], "each": [9, 33], "node": 9, "interact": [9, 16, 147, 148, 409, 415], "plotli": 9, "comparison": [9, 155, 163, 165], "atla": [9, 10, 20, 21, 22, 47, 51, 52, 54, 56, 58, 86, 87, 99, 148, 161], "choos": [9, 100, 153, 154], "region": [9, 50, 51, 53, 54, 86, 87, 88, 91, 94, 148, 150, 151, 173, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 410], "outlin": 9, "displai": [9, 14, 15, 52, 53, 54, 56, 58, 79, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 409, 415], "interest": [9, 94], "top": 9, "higher": [9, 66], "resolut": [9, 172, 173], "multipl": [9, 15, 147, 163, 165], "view": [9, 15, 417], "web": [9, 22, 52, 54, 58], "browser": [9, 22, 52, 54, 58], "impact": [9, 56], "paramet": [9, 34, 61, 63, 64, 66, 67, 68, 69, 86, 98, 100, 147, 154, 156, 173], "harvard": 10, "oxford": 10, "juelich": 10, "contour": [10, 14, 415], "global": [11, 56], "pattern": [11, 44], "carpet": 11, "fetch": [11, 20, 25, 26, 33, 47, 50, 53, 62, 76, 79, 80, 101, 107, 108, 151, 171, 175], "adhd": [11, 61], "deriv": [11, 48, 66, 175], "mask": [11, 16, 18, 25, 32, 36, 41, 66, 89, 94, 98, 103, 113, 153, 156, 158, 172, 173, 313, 314, 315, 316, 317, 318, 319, 320, 321, 407], "over": [11, 47], "base": [11, 23, 32, 37, 42, 43, 56, 69, 75, 100, 108, 151, 162, 165], "separ": [11, 86], "tissu": 11, "type": 11, "matplotlib": [12, 34], "colormap": [12, 415], "color": 12, "glass": [13, 14, 16], "whole": 13, "sagitt": [13, 15], "cut": [13, 15], "black": 13, "background": [13, 17, 89], "hemispher": [13, 14, 69], "option": 14, "demo": 14, "differ": [14, 30, 32, 34, 35, 44, 47, 86, 147, 154, 173, 415], "project": [14, 26, 69, 161, 169], "left": [14, 69], "right": [14, 15, 100, 154], "fill": [14, 415], "both": 14, "more": [15, 17, 156], "tool": [15, 16], "we": [15, 32, 35, 41, 161], "provid": [15, 16], "gener": [15, 16, 33, 44, 61, 62, 64, 72, 75, 77, 103, 111, 175, 402], "purpos": [15, 16], "coron": 15, "axial": 15, "given": [15, 172], "coordin": [15, 47, 58, 148], "number": [15, 160], "5": [15, 17, 125, 132, 133, 134, 146], "onli": [15, 50, 173], "two": [15, 64, 71, 80, 154], "slice": [15, 44, 415], "without": [15, 56, 98, 153, 156], "colorbar": 15, "side": 15, "chang": [15, 17, 66, 98, 120, 122, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 135, 137, 138, 140, 141, 142, 143, 144, 146, 173], "now": [15, 35, 52, 54], "ar": [15, 66], "three": [15, 100], "2x2": 15, "fashion": 15, "along": 15, "row": 15, "column": 15, "anoth": [15, 172], "wai": 15, "limit": 15, "demonstr": 15, "variou": 15, "show": [15, 38, 100, 377], "how": [15, 161, 169, 173], "add_edg": 15, "add_contour": 15, "seed": [15, 23, 55, 58, 173], "add_mark": 15, "annot": [15, 114], "function": [16, 19, 23, 41, 44, 46, 47, 50, 51, 54, 68, 99, 100, 110, 147, 148, 149, 151, 152, 156, 158, 168, 172, 174, 175, 411, 414, 415], "plot_stat_map": [16, 20, 372], "view_img": [16, 379], "plot_glass_brain": [16, 364], "anatom": 16, "plot_anat": [16, 357], "roi": [16, 32, 51, 94, 172], "here": [16, 41], "plot_roi": [16, 371], "epi": [16, 89], "plot_epi": [16, 362], "control": [17, 156, 173], "contrast": [17, 61, 62, 66, 69, 70, 162, 251, 414], "when": [17, 171], "local": [17, 72, 105, 106], "enhanc": [17, 120, 122, 126, 127, 128, 129, 130, 132, 135, 136, 137, 139, 140, 141, 142, 143, 144, 146, 161], "dim": 17, "0": [17, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 146], "decreas": [17, 171], "1": [17, 66, 115, 116, 117, 118, 119, 121, 125, 128, 130, 133, 136, 139, 141, 143, 146], "multiscal": 19, "parcel": [19, 47, 49, 56, 148, 150, 151, 384], "group": [19, 48, 51, 53, 99, 108, 147, 160], "probabilist": [20, 21, 47, 54, 148], "default": [20, 58, 61, 87], "mode": [20, 58, 61, 86, 87, 415], "msdl": [20, 51, 99], "add_overlai": 20, "object": [20, 29, 31, 34, 62, 101, 108, 152, 171, 173], "plot_prob_atla": [20, 370], "refer": [22, 23, 47, 49, 56, 58, 100, 102, 114, 147, 148, 150, 151, 152, 154, 155, 158, 159, 404], "fetcher": [22, 161], "connect": [23, 46, 47, 51, 56, 57, 86, 99, 100, 110, 147, 149, 151, 168, 174], "seri": [23, 25, 52, 54, 55, 58, 70, 89, 100, 148, 162, 173, 412], "calcul": [23, 70, 106], "technic": 24, "point": [24, 173], "illustr": 24, "scheme": 24, "build": [24, 33, 35, 40, 54, 94, 113, 148, 161, 169], "cylind": 24, "locat": 24, "which": [24, 150], "vol_to_surf": [24, 401], "would": 24, "draw": 24, "its": 24, "adjust": 24, "neuroimag": [25, 113, 154, 168, 171, 173], "appli": [25, 48, 113, 150, 172, 173], "correspond": [25, 52, 54], "megatrawl": 26, "network": [26, 50, 58, 61, 87, 152], "matric": [26, 53, 63, 100, 151, 173], "human": 26, "connectom": [26, 47, 50, 52, 53, 58, 147, 148, 174, 178, 179, 180, 181, 182, 183, 184, 185, 415], "anova": [29, 34, 98, 153, 156], "v": [29, 30, 31, 36, 102], "hous": [29, 30, 31, 36, 37, 102], "pipelin": [29, 33, 34, 112, 113, 155, 156, 173], "fit": [29, 31, 33, 34, 39, 43, 62, 64, 67, 70, 101, 108, 152, 162, 165], "obtain": [29, 62, 101, 108], "via": 29, "classifi": [30, 158], "train": 30, "frem": [31, 39, 155], "recognit": [31, 36, 44, 102], "et": [32, 38, 39, 40, 41], "al": [32, 38, 39, 40, 41], "prepar": [32, 35, 36, 41, 61, 64, 67, 69, 81, 100, 153, 158, 169, 172, 173], "bar": [32, 415], "summar": 32, "after": [33, 89], "signal": [33, 51, 53, 54, 56, 58, 91, 148, 173, 396, 397, 398, 406, 412], "proper": 33, "event": [33, 72, 162], "structur": [33, 57, 159, 161], "instanti": 33, "run": [33, 41, 44, 66, 103, 156], "firstlevelmodel": [33, 62, 101, 108, 263], "report": [33, 61, 62, 64, 75, 161, 393, 394, 395, 411, 414], "set": [34, 154, 156, 158, 161], "respons": [34, 37, 65, 66, 68], "valu": [34, 160], "screen": 34, "percentil": 34, "nest": 34, "multi": [35, 53, 152, 154], "class": [35, 154], "strategi": [35, 56, 153, 173], "barplot": 35, "confus": 35, "searchlight": [36, 37, 158, 245], "bold": [37, 163], "stimuli": [38, 40, 41], "jimura": 39, "mix": [39, 155], "gambl": [39, 155], "experi": [39, 113, 153], "tv": 39, "l1": 39, "spacenet": [39, 43, 159], "encod": 40, "miyawaki": [40, 41], "2008": [40, 41], "estim": [40, 44, 57, 58, 61, 62, 64, 66, 67, 69, 76, 77, 79, 80, 98, 101, 153, 154, 156, 160], "recept": 40, "field": 40, "reconstruct": 41, "Then": 41, "defin": [41, 56, 63, 68, 100], "itself": 41, "let": 41, "u": 41, "quantifi": 41, "error": 41, "morphometri": [42, 43, 75, 165], "oasi": [42, 43, 75], "vbm": [42, 43, 75], "bio": 42, "marker": [42, 415], "ag": [42, 51, 75, 99], "mass": [42, 408], "univari": [42, 102, 105, 106, 158, 408], "preprocess": [42, 113, 175, 412], "qualiti": [42, 43, 94], "infer": 42, "massiv": [42, 102, 105, 106, 158], "space": [43, 71, 147], "net": 43, "prior": 43, "simul": [44, 57, 147, 156], "creat": [44, 63, 78, 172], "exercic": 44, "go": [44, 98, 107, 113, 156], "compar": [47, 48, 49, 85, 100, 147, 158], "atlas": [47, 148, 175, 415], "yeo": [47, 86], "direct": [47, 147], "asymmetr": 47, "iter": [47, 160], "spatial": [48, 155, 159, 172], "ica": [48, 103, 152], "dictionari": [48, 50, 151, 152], "canica": [48, 152, 248], "cluster": [49, 70, 76, 150], "method": [49, 113], "ward": 49, "compress": [49, 150], "represent": [49, 150, 171], "kmean": 49, "hierarch": 49, "those": 49, "rena": [49, 385], "correl": [50, 51, 54, 55, 56, 58, 147, 148], "coeffici": 50, "specif": [50, 114, 172], "classif": [51, 99, 154], "children": 51, "partial": [51, 58], "variabl": 51, "kind": [51, 99], "most": [51, 70, 99], "power": [51, 99], "spars": [52, 53, 147, 160], "invers": [52, 53, 147, 173], "covari": [52, 53, 147, 160], "And": [52, 54], "graph": [52, 54, 58, 148], "precis": 53, "produc": 55, "fisher": 55, "transform": [55, 172, 173], "confound": [56, 66, 173], "remov": [56, 66, 173], "flexibl": 56, "fmriprep": [56, 304, 305, 405], "interfac": [56, 301, 302, 303, 304, 305, 306, 405], "motion": 56, "scrub": 56, "predefin": 56, "sphere": [58, 158], "dmn": 58, "within": 58, "averag": 58, "strength": 58, "dosenbach": 58, "": [58, 98, 146, 153], "see": 58, "also": 58, "complet": 62, "bid": [62, 101, 108, 301, 302, 303, 405], "openneuro": 62, "automat": [62, 101, 108, 113, 175], "argument": [62, 101, 108, 173], "output": [62, 114, 171], "disk": 62, "design": [63, 66, 77, 78, 100, 162, 173, 414], "finit": 65, "impul": 65, "fir": 65, "understand": [66, 89, 171, 173], "drift": 66, "hemodynam": [66, 414], "ad": [66, 415], "nois": 66, "ol": 66, "order": 66, "censor": 66, "conclus": 66, "explicit": 67, "fix": [67, 118, 120, 122, 123, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 146], "mri": 68, "stimulu": 68, "analys": [69, 75], "residu": [70, 162], "import": [70, 416], "modul": 70, "largest": 70, "actual": 70, "6": [70, 126, 135, 136, 137, 146], "distribut": [70, 169], "r": 70, "squar": 70, "nativ": 71, "tsv": 72, "neurospin": 72, "task": [72, 100, 105, 106], "second": [74, 76, 77, 78, 79, 80, 81, 101, 108, 110, 165, 414], "true": 76, "posit": 76, "proport": 76, "t_map": 79, "unpair": 80, "pair": 80, "some": 81, "t": [81, 88], "affin": [84, 171, 172], "resampl": [84, 89, 93, 172, 173, 403], "mean": 85, "2": [85, 117, 120, 121, 122, 123, 124, 125, 126, 131, 134, 137, 144, 146], "break": 86, "origin": 86, "relabel": 86, "min_siz": 86, "smith": 87, "niftimask": [89, 92, 173, 311], "raw": 89, "mni": 89, "templat": [89, 93, 175], "negat": 90, "math_img": [90, 292], "niftilabelsmask": [91, 173, 309], "find": [94, 158, 168], "thi": 94, "improv": 94, "advanc": [97, 98, 110, 112, 173], "tune": 98, "dummi": 98, "permut": 98, "lean": 98, "svc": 98, "discrimin": 98, "engin": 98, "beta": [100, 127, 132, 146, 153], "your": [100, 113, 161, 168], "standard": 100, "lsa": 100, "aggreg": 100, "condit": 100, "lss": 100, "few": [100, 153, 168], "trial": 100, "approach": [100, 147], "applic": 100, "quick": [101, 168], "saniti": 101, "check": 101, "neurovault": [103, 107, 114], "term": 103, "reshap": 103, "compon": [103, 104, 152, 405], "figur": [103, 409], "multivari": [104, 177], "decomposit": [104, 177, 248, 249], "independ": 104, "motor": 105, "meta": 107, "stop": [107, 160], "success": 107, "minu": 107, "like": [107, 171], "protocol": 107, "combin": 107, "bibliographi": 111, "usag": [112, 173], "scale": [112, 415], "up": [112, 158, 161], "own": 113, "non": 113, "descript": [113, 160], "2d": [113, 172], "arrai": [113, 172], "unmask": [113, 173, 321], "inverse_transform": 113, "repositori": 114, "collect": 114, "filter": [114, 173], "neurosynth": 114, "changelog": [115, 116, 117, 118, 120, 121, 123, 146], "3": [118, 123, 127, 128, 146], "4": [119, 124, 129, 130, 131, 146], "highlight": [119, 127, 128, 129, 132, 135, 138, 139, 140, 141, 142, 144, 146], "new": [120, 122, 123, 124, 125, 132, 133, 134, 135, 138, 139, 140, 141, 142, 144, 146], "bug": [120, 123, 130, 146, 161], "api": [120, 146, 404], "summari": [120, 146, 147, 148, 151, 152, 162, 165], "rc": [132, 146], "alpha": [132, 146, 160], "known": [133, 146], "issu": [133, 146, 169], "0rc": [135, 146], "0b0": [135, 146], "0a0": [135, 146], "7": [138, 139, 146], "8": [140, 141, 146], "9": [142, 143, 144, 146], "page": [147, 148, 151, 152, 162, 165], "full": [147, 148, 153], "exercis": [147, 148, 168, 173], "rest": [147, 148, 149], "link": [147, 416], "total": 147, "tangent": 147, "maxprob": 148, "state": 149, "movi": [150, 151], "watch": [150, 151], "code": [150, 153, 155, 158, 161, 169, 172, 415], "better": [151, 159, 173], "relat": [152, 159], "interpret": 152, "altern": 152, "2001": 153, "definit": [153, 173], "made": 153, "easi": 153, "good": 153, "choic": 153, "put": 153, "togeth": 153, "dimens": 153, "reduct": 153, "final": 153, "script": 153, "regress": [154, 414], "linear": [154, 402], "bag": 154, "sever": 154, "fast": 155, "ensembl": 155, "regular": 155, "robust": 155, "empir": 155, "increas": 155, "ani": 156, "mvpa": [157, 168], "contain": 158, "inform": 158, "principl": [158, 160], "radiu": 158, "f_score": 158, "spm": 158, "stabil": 160, "execut": 160, "synthet": 160, "criteria": 160, "maximum": 160, "dualiti": 160, "gap": 160, "variat": 160, "norm": 160, "initi": 160, "modifi": 160, "criterion": 160, "algorithm": 160, "bound": 160, "grid": 160, "search": 160, "warm": 160, "restart": 160, "contribut": 161, "help": [161, 168], "discuss": 161, "idea": 161, "answer": 161, "question": 161, "review": 161, "pull": [161, 169], "request": [161, 169], "join": 161, "do": 161, "decid": 161, "goe": 161, "scope": 161, "who": 161, "decis": 161, "guidelin": 161, "pr": 161, "style": 161, "document": [161, 169], "environ": 161, "instal": [161, 168, 416], "recommend": 161, "addit": 161, "case": [161, 172], "mainten": [161, 169], "hrf": 162, "primer": 163, "analyz": [164, 171], "correct": 165, "glossari": 166, "why": 168, "relev": 168, "start": 168, "prompt": 168, "name": [168, 171], "match": [168, 171, 172], "vari": 168, "amount": 168, "scientif": 168, "organ": 169, "close": 169, "polici": 169, "releas": 169, "upload": 169, "them": 169, "pypi": 169, "deploi": 169, "post": 169, "input": 171, "glob": 171, "user": [171, 417], "path": 171, "expans": 171, "open": [171, 173], "nilearn_data": 171, "where": 171, "store": 171, "format": 171, "shape": [171, 172], "memori": 171, "text": 171, "phenotyp": 171, "csv": 171, "panda": 171, "target": 172, "special": 172, "size": 172, "access": 172, "individu": 172, "oper": [172, 410], "masker": [173, 307, 308, 309, 310, 311, 312, 406], "concept": 173, "philosophi": 173, "custom": 173, "100": 173, "extra": 173, "cutoff": 173, "common": 173, "dtype": 173, "tempor": 173, "resiz": 173, "niftimapsmask": [173, 310], "niftispheresmask": [173, 312], "connectivitymeasur": 178, "groupsparsecovari": 179, "groupsparsecovariancecv": 180, "cov_to_corr": 181, "group_sparse_covari": 182, "prec_to_parti": 183, "sym_matrix_to_vec": 184, "vec_to_sym_matrix": 185, "fetch_abide_pcp": 186, "fetch_adhd": 187, "fetch_atlas_a": 188, "fetch_atlas_allen_2011": 189, "fetch_atlas_basc_multiscale_2015": 190, "fetch_atlas_craddock_2012": 191, "fetch_atlas_destrieux_2009": 192, "fetch_atlas_difumo": 193, "fetch_atlas_harvard_oxford": 194, "fetch_atlas_juelich": 195, "fetch_atlas_msdl": 196, "fetch_atlas_pauli_2017": 197, "fetch_atlas_schaefer_2018": 198, "fetch_atlas_smith_2009": 199, "fetch_atlas_surf_destrieux": 200, "fetch_atlas_talairach": 201, "fetch_atlas_yeo_2011": 202, "fetch_bids_langloc_dataset": 203, "fetch_coords_dosenbach_2010": 204, "fetch_coords_power_2011": 205, "fetch_coords_seitzman_2018": 206, "fetch_development_fmri": 207, "fetch_ds000030_url": 208, "fetch_fiac_first_level": 209, "fetch_haxbi": 210, "fetch_icbm152_2009": 211, "fetch_icbm152_brain_gm_mask": 212, "fetch_language_localizer_demo_dataset": 213, "fetch_localizer_button_task": 214, "fetch_localizer_calculation_task": 215, "fetch_localizer_contrast": 216, "fetch_localizer_first_level": 217, "fetch_megatrawls_netmat": 218, "fetch_mixed_gambl": 219, "fetch_miyawaki2008": 220, "fetch_neurovault": 221, "fetch_neurovault_auditory_computation_task": 222, "fetch_neurovault_id": 223, "fetch_neurovault_motor_task": 224, "fetch_oasis_vbm": 225, "fetch_openneuro_dataset": 226, "fetch_openneuro_dataset_index": 227, "fetch_spm_auditori": 228, "fetch_spm_multimodal_fmri": 229, "fetch_surf_fsaverag": 230, "fetch_surf_nki_enhanc": 231, "get_data_dir": 232, "load_mni152_brain_mask": 233, "load_mni152_gm_mask": 234, "load_mni152_gm_templ": 235, "load_mni152_templ": 236, "load_mni152_wm_mask": 237, "load_mni152_wm_templ": 238, "patch_openneuro_dataset": 239, "select_from_index": 240, "decoderregressor": 242, "fremclassifi": 243, "fremregressor": 244, "spacenetclassifi": 246, "spacenetregressor": 247, "dictlearn": 249, "armodel": 250, "fcontrastresult": 252, "likelihoodmodelresult": 253, "olsmodel": 254, "regressionresult": 255, "simpleregressionresult": 256, "tcontrastresult": 257, "cluster_level_infer": 258, "compute_contrast": 259, "compute_fixed_effect": 260, "expression_to_contrast_vector": 261, "fdr_threshold": 262, "first_level": [263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 402], "check_design_matrix": 264, "compute_regressor": 265, "first_level_from_bid": 266, "glover_dispersion_deriv": 267, "glover_hrf": 268, "glover_time_deriv": 269, "make_first_level_design_matrix": 270, "mean_scal": 271, "run_glm": 272, "spm_dispersion_deriv": 273, "spm_hrf": 274, "spm_time_deriv": 275, "second_level": [276, 277, 278, 402], "secondlevelmodel": 276, "make_second_level_design_matrix": 277, "non_parametric_infer": 278, "threshold_stats_img": 279, "binarize_img": 280, "clean_img": 281, "concat_img": 282, "coord_transform": 283, "copy_img": 284, "crop_img": 285, "get_data": 286, "high_variance_confound": [287, 398], "index_img": 288, "iter_img": 289, "largest_connected_component_img": 290, "load_img": 291, "mean_img": 293, "new_img_lik": 294, "reorder_img": 295, "resample_img": 296, "resample_to_img": 297, "smooth_img": 298, "swap_img_hemispher": 299, "threshold_img": 300, "get_bids_fil": 301, "parse_bids_filenam": 302, "save_glm_to_bid": 303, "load_confound": 304, "load_confounds_strategi": 305, "fsl": [306, 405], "get_design_from_fslmat": 306, "basemask": 307, "multiniftimask": 308, "apply_mask": 313, "compute_background_mask": 314, "compute_brain_mask": 315, "compute_epi_mask": 316, "compute_multi_background_mask": 317, "compute_multi_brain_mask": 318, "compute_multi_epi_mask": 319, "intersect_mask": 320, "mass_univari": [322, 408], "permuted_ol": 322, "baseax": 323, "baseslic": 324, "cutax": 325, "glassbrainax": 326, "lprojector": 327, "lrprojector": 328, "lyrprojector": 329, "lyrzprojector": 330, "lzrprojector": 331, "lzryprojector": 332, "mosaicslic": 333, "orthoprojector": 334, "orthoslic": 335, "plotlysurfacefigur": 336, "rprojector": 337, "tiledslic": 338, "xprojector": 339, "xslicer": 340, "xzprojector": 341, "xzslicer": 342, "yprojector": 343, "yslicer": 344, "yxprojector": 345, "yxslicer": 346, "yzprojector": 347, "yzslicer": 348, "zprojector": 349, "zslicer": 350, "get_projector": 351, "get_slic": 352, "find_cut_slic": 353, "find_parcellation_cut_coord": 354, "find_probabilistic_atlas_cut_coord": 355, "find_xyz_cut_coord": 356, "plot_carpet": 358, "plot_connectom": 359, "plot_contrast_matrix": 360, "plot_design_matrix": 361, "plot_ev": 363, "plot_img": 365, "plot_img_comparison": 366, "plot_img_on_surf": 367, "plot_mark": 368, "plot_matrix": 369, "plot_surf": 373, "plot_surf_contour": 374, "plot_surf_roi": 375, "plot_surf_stat_map": [376, 415], "view_connectom": 378, "view_img_on_surf": [380, 415], "view_mark": 381, "view_surf": [382, 415], "hierarchicalkmean": 383, "regionextractor": 386, "connected_label_region": 387, "connected_region": 388, "img_to_signals_label": 389, "img_to_signals_map": 390, "signals_to_img_label": 391, "signals_to_img_map": 392, "htmlreport": 393, "get_clusters_t": 394, "make_glm_report": 395, "butterworth": 396, "clean": 397, "load_surf_data": 399, "load_surf_mesh": 400, "process": 403, "util": [403, 407, 414], "migrat": 414, "nistat": 414, "avail": 415, "overlai": 415, "edg": 415, "quickstart": 416, "offic": 416, "hour": 416, "depend": 416, "guid": 417, "offlin": 417}, "envversion": {"sphinx.domains.c": 2, "sphinx.domains.changeset": 1, "sphinx.domains.citation": 1, "sphinx.domains.cpp": 6, "sphinx.domains.index": 1, "sphinx.domains.javascript": 2, "sphinx.domains.math": 2, "sphinx.domains.python": 3, "sphinx.domains.rst": 2, "sphinx.domains.std": 2, "sphinx.ext.intersphinx": 1, "sphinxcontrib.bibtex": 9, "sphinx": 56}})