synth_trains

creation of synthetic spike trains

1. 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

2. 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

3. spike_train_utils:

• functions used by spike_trains and corr_trains