54 lines
1.5 KiB
Matlab
54 lines
1.5 KiB
Matlab
function spikes = lifadaptspikes( trials, input, tmaxdt, D, tauadapt, adaptincr )
|
|
% Generate spike times of a leaky integrate-and-fire neuron
|
|
% with an adaptation current
|
|
% 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
|
|
% tauadapt: adaptation time constant
|
|
% adaptincr: adaptation strength
|
|
|
|
tau = 0.01;
|
|
if nargin < 4
|
|
D = 1e0;
|
|
end
|
|
if nargin < 5
|
|
tauadapt = 0.1;
|
|
end
|
|
if nargin < 6
|
|
adaptincr = 1.0;
|
|
end
|
|
vreset = 0.0;
|
|
vthresh = 10.0;
|
|
dt = 1e-4;
|
|
|
|
if max( size( 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;
|
|
a = 0.0;
|
|
noise = sqrt(2.0*D)*randn( length( input ), 1 )/sqrt(dt);
|
|
for i=1:length( noise )
|
|
v = v + ( - v - a + noise(i) + input(i))*dt/tau;
|
|
a = a + ( - a )*dt/tauadapt;
|
|
if v >= vthresh
|
|
v = vreset;
|
|
a = a + adaptincr/tauadapt;
|
|
spiketime = i*dt;
|
|
if spiketime > 4.0*tauadapt
|
|
times(j) = spiketime - 4.0*tauadapt;
|
|
j = j + 1;
|
|
end
|
|
end
|
|
end
|
|
spikes{k} = times;
|
|
end
|
|
end
|