rate = 100.0;
trials = 50;
tmax = 100.0;

% generate spikes:
spikes = poissonspikes( trials, rate, tmax );
% interspike intervals:
isivec = isis( spikes );
% histogram
f = figure( 1 );
isihist( isivec );
hold on
% theoretical density:
xmax = 5.0/rate;
x = 0:0.0001:xmax;
y = rate*exp(-rate*x);
plot( 1000.0*x, y, 'r', 'LineWidth', 3 );
% plot details:
title( sprintf( 'Poisson spike trains, rate=%g Hz, nisi=%d', rate, length( isivec ) ) )
xlim( [ 0.0 1000.0*xmax ] )
ylim( [ 0.0 1.1*rate ] )
legend( 'data', 'poisson' )
hold off

% serial correlations:
f = figure( 2 );
isiserialcorr( isivec, 10 );