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scientificComputing/projects/project_populationvector/solution/populationvector.m

44 lines
932 B
Matlab

close all
files = dir('../unit*.mat');
for file = files'
a = load(strcat('../', file.name));
spikes = a.spikes;
angles = a.angles;
figure()
for k = 1:size(spikes, 1)
subplot(3, 4, k)
spikeraster(spikes(k,:), -0.2, 0.6);
end
end
%% tuning curves:
close all
cosine = @(p,xdata)0.5*p(1).*(1.0-cos(2.0*pi*(xdata/180.0-p(2))));
files = dir('../unit*.mat');
figure()
for j = 1:length(files)
file = files(j);
a = load(strcat('../', file.name));
spikes = a.spikes;
angles = a.angles;
rates = zeros(size(spikes, 1), 1);
for k = 1:size(spikes, 1)
r = firingrate(spikes(k,:), 0.0, 0.2);
rates(k) = r;
end
[mr, maxi] = max(rates);
p0 = [mr, angles(maxi)/180.0-0.5];
%p = p0;
p = lsqcurvefit(cosine, p0, angles, rates');
phase = p(2)*180.0
subplot(2, 3, j);
plot(angles, rates, 'b');
hold on;
plot(angles, cosine(p, angles), 'r');
hold off;
xlim([0.0 180.0])
ylim([0.0 50.0])
title(sprintf('unit %d', j))
end