### Note that depending on the file format selected, the parameters in the data section can vary ### You should refer to the documentation to know what are the needed parameters for a given ### file format. Otherwise, launch the code and a message will tell you what is needed [data] file_format = raw_binary # Can be raw_binary, openephys, hdf5, ... See >> spyking-circus help -i for more info stream_mode = None # None by default. Can be multi-files, or anything depending to the file format mapping = P:\spyking-circus-master\probes\NP384PhaseA.prb # Mapping of the electrode (see http://spyking-circus.rtfd.org) suffix = # Suffix to add to generated files, if needed overwrite = True # Filter or remove artefacts on site (if write access is possible). Data are duplicated otherwise parallel_hdf5 = True # Use the parallel HDF5 feature (if available) sampling_rate = 30000 data_dtype = int16 nb_channels = 384 output_dir = shared_memory = False [detection] radius = auto # Radius [in um] (if auto, read from the prb file) N_t = 3 # Width of the templates [in ms] spike_thresh = 6 # Threshold [in MAD] for spike detection peaks = negative # Can be negative (default), positive or both dead_channels = # If not empty or specified in the probe, a dictionary {channel_group : [list_of_valid_ids]} weird_thresh = # If not empty, threshold [in MAD] for artefact detection [filtering] cut_off = 100, auto # Min and Max (auto=nyquist) cut off frequencies for the band pass butterworth filter [Hz] filter = True # If True, then a low-pass filtering is performed remove_median = False # If True, medians over all channels within shanks are substracted (movement artifacts) common_ground = # If you want to use channels as ground within shanks {channel_group : ground_channel} sat_value = # Values higher than sat_value are set to 0 during filtering (in percent of max dtype) [0,1] [triggers] trig_file = # External stimuli to be considered as putative artefacts [in trig units] (see documentation) trig_windows = # The time windows of those external stimuli [in trig units] trig_unit = ms # The unit in which times are expressed: can be ms or timestep clean_artefact = False # If True, external artefacts induced by triggers will be suppressed from data dead_file = # Portion of the signals that should be excluded from the analysis [in dead units] dead_unit = ms # The unit in which times for dead regions are expressed: can be ms or timestep ignore_times = False # If True, any spike in the dead regions will be ignored by the analysis make_plots = # Generate sanity plots of the averaged artefacts [Nothing or None if no plots] [whitening] spatial = True # Perform spatial whitening max_elts = 10000 # Max number of events per electrode (should be compatible with nb_elts) nb_elts = 0.8 # Fraction of max_elts that should be obtained per electrode [0,1] output_dim = 5 # Can be in percent of variance explain, or num of dimensions for PCA on waveforms [clustering] extraction = median-raw # Can be either median-raw (default) or mean-raw sub_dim = 10 # Number of dimensions to keep for local PCA per electrode max_elts = 10000 # Max number of events per electrode (should be compatible with nb_elts) nb_elts = 0.8 # Fraction of max_elts that should be obtained per electrode [0,1] nb_repeats = 3 # Number of passes used for the clustering smart_search = True # Activate the smart search mode merging_method = nd-bhatta # Method to perform local merges (distance, dip, folding, nd-folding, bhatta, nd-bhatta) merging_param = default # Merging parameter (see docs) (3 if distance, 0.5 if dip, 1e-9 if folding, 2 if bhatta) sensitivity = 3 # Single parameter for clustering sensitivity. The lower the more sensitive cc_merge = 0.95 # If CC between two templates is higher, they are merged dispersion = (5, 5) # Min and Max dispersion allowed for amplitudes [in MAD] fine_amplitude = True # Optimize the amplitudes and compute a purity index for each template make_plots = png # Generate sanity plots of the clustering [Nothing or None if no plots] dip_threshold = 0 [fitting] amp_limits = (0.3, 5) # Amplitudes for the templates during spike detection [if not auto] amp_auto = True # True if amplitudes are adjusted automatically for every templates collect_all = False # If True, one garbage template per electrode is created, to store unfitted spikes ratio_thresh = 0.9 # Ratio of the spike_threshold used while fitting [0-1]. The lower the slower mse_error = False # If True, RMS is collected over time, to assess quality of reconstruction [merging] erase_all = True # If False, a prompt will ask you to remerge if merged has already been done cc_overlap = 0.75 # Only templates with CC higher than cc_overlap may be merged cc_bin = 2 # Bin size for computing CC [in ms] default_lag = 5 # Default length of the period to compute dip in the CC [ms] auto_mode = 0.75 # Between 0 (aggressive) and 1 (no merging). If empty, GUI is launched remove_noise = True # If True, meta merging will remove obvious noise templates (weak amplitudes) noise_limit = 0.75 # Amplitude at which templates are classified as noise sparsity_limit = 0 # Sparsity level (in percentage) for selecting templates as putative noise (in [0,1]) time_rpv = 5 # Time [in ms] to consider for Refraction Period Violations (RPV) (0 to disable) rpv_threshold = 0.02 # Percentage of RPV allowed while merging merge_drifts = True # Try to automatically merge drifts, i.e. non overlapping spiking neurons drift_limit = 1 # Distance for drifts. The higher, the more non-overlapping the activities should be clean_merging = False # When templates are merged, automatically remove spike duplicated (less than 0.5ms appart) [converting] erase_all = True # If False, a prompt will ask you to export if export has already been done export_pcs = prompt # Can be prompt [default] or in none, all, some export_all = False # If True, unfitted spikes will be exported as the last Ne templates sparse_export = True # For recent versions of phy, and large number of templates/channels prelabelling = False # If True, putative labels (good, noise, best, mua) are pre-assigned to neurons rpv_threshold = 0.05 # Percentage of RPV allowed while labelling neurons as good neurons [validating] nearest_elec = auto # Validation channel (e.g. electrode closest to the ground truth cell) max_iter = 200 # Maximum number of iterations of the stochastic gradient descent (SGD) learning_rate = 1.0e-3 # Initial learning rate which controls the step-size of the SGD roc_sampling = 10 # Number of points to estimate the ROC curve of the BEER estimate test_size = 0.3 # Portion of the dataset to include in the test split radius_factor = 0.5 # Radius factor to modulate physical radius during validation juxta_dtype = uint16 # Type of the juxtacellular data juxta_thresh = 6 # Threshold for juxtacellular detection juxta_valley = False # True if juxta-cellular spikes are negative peaks juxta_spikes = # If none, spikes are automatically detected based on juxta_thresh filter = True # If the juxta channel need to be filtered or not make_plots = png # Generate sanity plots of the validation [Nothing or None if no plots] [extracting] safety_time = 1 # Temporal zone around which spikes are isolated [in ms] max_elts = 10000 # Max number of collected events per templates output_dim = 5 # Percentage of variance explained while performing PCA cc_merge = 0.975 # If CC between two templates is higher, they are merged noise_thr = 0.8 # Minimal amplitudes are such than amp*min(templates) < noise_thr*threshold [noedits] filter_done = True #!! AUTOMATICALLY EDITED: DO NOT MODIFY !! artefacts_done = False # Will become True automatically after removing artefacts median_done = False # Will become True automatically after removing common median ground_done = False # Will become True automatically after removing common ground