close all
nruns = 10
itvls = [60, 90,120, 150, 180]
pops = zeros(2, length(itvls), nruns)
for run = 1:10
for d = 1:length(itvls)
itvl = itvls(d)
fn=sprintf('N100.B40.I10.i6.P2.p1.T%d.S%d.w2c', itvl, 1980+run-1)
stimduration = 2000;
ar = sscanf(fn, 'N%d.B40.I10.i6.P%d.p1.T%d.S%d.w%d');
nneurons = ar(1);
npatterns = ar(2);
interval = ar(3);
seed = ar(4);
weakmem = ar(5);
npyrs = nneurons*0.8;
ff = sprintf('./data/%s/spikes.dat', fn);
f = fopen(ff);
t = fgets(f);
raster = zeros(nneurons, stimduration*npatterns*2);
nid = 1;
while (ischar(t))
times = str2num(t);
raster(nid, times) = 1;
t = fgets(f);
nid=nid+1;
end
fclose(f)
%figure()
%imagesc(raster)
trainingspikes = zeros(npyrs, npatterns);
recallspikes = zeros(npyrs, npatterns);
for n=1:npyrs
for j=1:npatterns
tstart = (j-1)*stimduration;
tend = tstart + stimduration;
trainingspikes(n,j) = sum(raster(n, tstart+1:tend));
tstart = npatterns*stimduration + (j-1)*stimduration;
tend = tstart + stimduration;
recallspikes(n,j) = sum(raster(n, tstart+1:tend));
end
end
pop = sum(recallspikes > 20)/npyrs;
ff = sprintf('./data/%s/synstate.dat', fn);
ss = load(ff);
for n=1:npatterns
sb = ss(find(ss(:,5)==n & ss(:,7) > 1.4) , 2); % branch ids array
sun = unique(sb);
zz = [];
for k=1:length(sun)
zz(end+1) = length(find(sb(:) == sun(k)));
end
end
pops(:, d, run) = pop'
end
end
figure()
title('Strong before weak')
pops = pops*100.0
mpop = mean(pops, 3)
stdpop = std(pops, 0, 3)
errorbar(mpop', stdpop')
xlabel('Interval between memories (minutes)')
ylabel('% of recruited pyramidal neurons')
legend('Strong memory', 'Weak memory');
set(gca, 'XTick',[1:length(itvls)]);
set(gca, 'XTickLabel',itvls);
saveas(gcf, 'w_s_s.eps')