% spnet.m: Spiking network with axonal conduction delays and STDP % Created by Eugene M.Izhikevich. February 3, 2004 M=100; % number of synapses per neuron D=20; % maximal conduction delay % excitatory neurons % inhibitory neurons % total number Ne=800; Ni=200; N=Ne+Ni; a=[0.02*ones(Ne,1); 0.1*ones(Ni,1)]; d=[ 8*ones(Ne,1); 2*ones(Ni,1)]; sm=10; % maximal synaptic strength post=ceil([N*rand(Ne,M);Ne*rand(Ni,M)]); s=[6*ones(Ne,M);-5*ones(Ni,M)]; % synaptic weights sd=zeros(N,M); % their derivatives for i=1:N if i<=Ne for j=1:D delays{i,j}=M/D*(j-1)+(1:M/D); end; else delays{i,1}=1:M; end; pre{i}=find(post==i&s>0); % pre excitatory neurons aux{i}=N*(D-1-ceil(ceil(pre{i}/N)/(M/D)))+1+mod(pre{i}-1,N); end; STDP = zeros(N,1001+D); v = -65*ones(N,1); % initial values u = 0.2.*v; % initial values firings=[-D 0]; % spike timings for sec=1:60*60*24 % simulation of 1 day for t=1:1000 % simulation of 1 sec I=zeros(N,1); I(ceil(N*rand))=20; % random thalamic input fired = find(v>=30); % indices of fired neurons v(fired)=-65; u(fired)=u(fired)+d(fired); STDP(fired,t+D)=0.1; for k=1:length(fired) sd(pre{fired(k)})=sd(pre{fired(k)})+STDP(N*t+aux{fired(k)}); end; firings=[firings;t*ones(length(fired),1),fired]; k=size(firings,1); while firings(k,1)>t-D del=delays{firings(k,2),t-firings(k,1)+1}; ind = post(firings(k,2),del); I(ind)=I(ind)+s(firings(k,2), del)'; sd(firings(k,2),del)=sd(firings(k,2),del)-1.2*STDP(ind,t+D)'; k=k-1; end; v=v+0.5*((0.04*v+5).*v+140-u+I); % for numerical v=v+0.5*((0.04*v+5).*v+140-u+I); % stability time u=u+a.*(0.2*v-u); % step is 0.5 ms STDP(:,t+D+1)=0.95*STDP(:,t+D); % tau = 20 ms end; plot(firings(:,1),firings(:,2),'.'); axis([0 1000 0 N]); drawnow; STDP(:,1:D+1)=STDP(:,1001:1001+D); ind = find(firings(:,1) > 1001-D); firings=[-D 0;firings(ind,1)-1000,firings(ind,2)]; s(1:Ne,:)=max(0,min(sm,0.01+s(1:Ne,:)+sd(1:Ne,:))); sd=0.9*sd; end;