Bayesian Visual Working Memory in Python.
Jupyter Notebook Python
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Data
Experiments
README.md
cma.py
computations_circular_precision_sensitivity.py
computations_marginalfisherinfo_marginalposterior_1d.py
computations_marginalfisherinfo_marginalposterior_2d.py
computations_marginalfisherinfo_marginalposterior_2d_nstim.py
computations_misbinding_gaussian.py
data_analysis.py
datagenerator.py
datageneratorrfn.py
dataio.py
datapbs.py
dirac_submission_slurm_unfilled.sh
em_circularmixture.py
em_circularmixture_allitems.py
em_circularmixture_allitems_kappafi.py
em_circularmixture_allitems_uniquekappa.py
em_circularmixture_parametrickappa.py
em_circularmixture_parametrickappa_doublepowerlaw.py
experimentalloader.py
experimentalloaderbays09.py
experimentalloaderdualrecall.py
experimentalloadergorgo11.py
experimentalloadergorgo11seq.py
experimentalloadergorgo11sim.py
experimentlauncher.py
fisherinformation.py
fitexperiment_allt.py
fitexperiment_allt_subjects.py
fitexperiment_sequential.py
fitexperiment_singlet.py
gibbs_sampler_continuous_fullcollapsed_randomfactorialnetwork.py
hierarchicalrandomnetwork.py
highdimensionnetwork.py
hinton_plot.py
jobwrapper.py
keyboardthreadtest.py
launchers.py
launchers_bootstrap.py
launchers_errordistribution.py
launchers_experimentalvolume.py
launchers_fisherinformation.py
launchers_fisherinformation_deprecated.py
launchers_fit_mixturemodels.py
launchers_fitexperiment_allt.py
launchers_fitexperiment_allt_subjects.py
launchers_fitexperiment_sequential_all.py
launchers_fitexperiment_singlet.py
launchers_hierarchicalnetwork.py
launchers_higher_dimensions.py
launchers_memorycurves.py
launchers_memorycurves_marginal_fi.py
launchers_misbinding.py
launchers_mixed.py
launchers_multipleobjectchecker.py
launchers_noiseoutput.py
launchers_parametersweeps.py
launchers_pbs.py
launchers_profile.py
launchers_receptivesize.py
launchers_specificstimuli.py
load_experimental_data.py
pbs_parameters_creator.sh
plots_cosyne12.py
plots_cosyne13.py
plots_experimental_data.py
plots_fitexperiment_papertheo.py
plots_fitexperiment_sequential.py
plots_paper_theo.py
plots_thesis.py
populationcode.py
progress.py
randomfactorialnetwork.py
randomnetwork.py
resultcomputation.py
sampler_invtransf_randomfactorialnetwork.py
slicesampler.py
slicesampler_c.pyx
slicesampler_numba.py
smooth.py
statisticsmeasurer.py
submitpbs.py
tests_randomfactorialnetwork.py
utils.py
utils_animation.py
utils_directional_stats.py
utils_fitting.py
utils_helper.py
utils_interpolate.py
utils_math.py
utils_notebooks.py
utils_plot.py
utils_spherical.py
vonmises_wrappedgaussian_comparison.py

README.md

DOI

code for Bayesian Visual Working Memory models.

Written by Loic Matthey Done at Gatsby Computational Neuroscience Unit.

Contact me for any informations or if you are interested by this project.

Entry point is in ExperimentLauncher (which is used to instantiate and run different experiments depending on input parameters).

Basic use-case is in launcher_do_simple_run()