This file briefly describes what each program does.  For more information on what a program does and how to use it, just enter
    help program_name
in the Matlab command line.

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corr_coeff.m
Computes the correlation coefficient between to spike trains.

cov_coeff.m
Computes the covariance coefficient between to spike trains (i.e., the covariance of the spike counts divided by the window size).

CV.m
Computes the coefficient of variation of a spike train.

easy_rasterplot.m
Creates a raster plot of any number of spike trains.

Fano_factor.m
Calculates the fano factor of a spike train over a given window size.

isi_density.m
Estimates the interspike interval density of a spike train.

jitter.m
Returns a 'jittered' version of a spike train.

Poisson.m
Creates a poisson spike train.  This function is faster than using renewal.m with exponentially distributed interspike intervals.

randnum.m
Generates a random number from a specified (discrete) distribution.

rasterplot.m
Creates a raster plot of any number of spike trains.  The input format for this program is non-intuitive.  Use easy_rasterplot.m instead.

renewal.m
Generates a renewal process with a given ISI density.

sip.m
Creates a set of spike trains where some proportion of the spikes are synchronous (throughout all spike trains).

thin.m
Thins a spike train by deleting some proportion of its spikes.

u_corr_coeff.m
Calculates the uncorrected correlation coefficient between two spike trains.  Uses the areas of the correlation functions without correcting.  This is fine when looking at correlations over large windows.

u_cov_coeff.m
Calculates the uncorrected covariance coefficient between two spike trains.

u_var_coeff.m
Calculates the uncorrected variance coefficient of a spike train.

var_coeff.m
Calculates the variance coefficient of a spike train.