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scientificComputing/simulations/code/unirandom.m

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Matlab

n = 10000; % number of action potentials
T = 100.0; % total time interval
spikes = sort(T*rand(n, 1)); % sorted times of action potentials
isis = diff(spikes); % interspike intervals
rate = n/T; % firing rate
misi = mean(isis); % mean interspike interval
sisi = std(isis); % and standard deviation
fprintf('firing rate = %.1fHz\n', rate);
fprintf(' mean ISI = %.1fms\n', 1000.0*misi); % inverse of rate
fprintf(' std ISI = %.1fms\n', 1000.0*sisi); % same as mean
hist(1000.0*isis, 50); % exponential distribution
xlabel('ISI [ms]');
ylabel('count');