creation of synthetic spike trains
- spike_trains.py
- creates uncorrelated spike trains using several statistical distributions
- will create trains for every cell type specified in the cell_type_dictionary
- num_cells: number of trains
- mean_isi: mean inter-spike interval
- interburst,intraburst: parameters for creating bursty trains
- freq_dependence: between 0 and 1, allows for sinusoidal modulation of mean frequency
- corr_trains
- creates a single set of spike trains with user specified distribution and correlation
- command line specification of mean frequency, statistical distribution, correlation type and value
- spike_train_utils:
- functions used by spike_trains and corr_trains