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scientificComputing/pointprocesses/code/pifspikes.m
2014-11-12 18:39:02 +01:00

39 lines
1.1 KiB
Matlab

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