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scientificComputing/projects/project_noiseficurves/lifspikes.m

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Matlab

function spikes = lifspikes(trials, current, tmax, D)
% Generate spike times of a leaky integrate-and-fire neuron
% trials: the number of trials to be generated
% current: the stimulus either as a single value or as a vector
% tmax: duration of a trial if input is a single number
% D: the strength of additive white noise
tau = 0.01;
if nargin < 4
D = 1e0;
end
vreset = 0.0;
vthresh = 10.0;
dt = 1e-4;
n = length( current );
if n <= 1
n = ceil(tmax/dt);
current = zeros( n, 1 ) + current;
end
spikes = cell(trials, 1);
for k=1:trials
times = [];
j = 1;
v = vreset + (vthresh-vreset)*rand();
noise = sqrt(2.0*D)*randn(n, 1)/sqrt(dt);
for i=1:n
v = v + (- v + noise(i) + current(i))*dt/tau;
if v >= vthresh
v = vreset;
times(j) = i*dt;
j = j + 1;
end
end
spikes{k} = times;
end
end