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scientificComputing/projects/project_populationvector/solution/populationvector.m

119 lines
2.8 KiB
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');
phases = zeros(length(files), 1);
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 + 90.0;
if phase > 180.0
phase = phase - 180.0;
end
phases(j) = phase;
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
%% read out:
a = load('../population04.mat');
spikes = a.spikes;
angle = a.angle;
unitphases = a.phases*180.0 + 90.0;
unitphases(unitphases>180.0) = unitphases(unitphases>180.0) - 180.0;
figure();
subplot(1, 3, 1);
angleestimates1 = zeros(size(spikes, 2), 1);
angleestimates2 = zeros(size(spikes, 2), 1);
for j = 1:size(spikes, 2)
rates = zeros(size(spikes, 1), 1);
for k = 1:size(spikes, 1)
r = firingrate(spikes(k, j), 0.0, 0.2);
rates(k) = r;
end
[x, inx] = sort(phases);
plot(phases(inx), rates(inx), '-o');
hold on;
angleestimates1(j) = popvecangle(phases, rates);
[m, i] = max(rates);
angleestimates2(j) = phases(i);
end
hold off;
subplot(1, 3, 2);
hist(angleestimates1);
subplot(1, 3, 3);
hist(angleestimates2);
angle
mean(angleestimates1)
mean(angleestimates2)
%% read out robustness:
files = dir('../population*.mat');
angles = zeros(length(files), 1);
e1m = zeros(length(files), 1);
e1s = zeros(length(files), 1);
e2m = zeros(length(files), 1);
e2s = zeros(length(files), 1);
for i = 1:length(files)
file = files(i);
a = load(strcat('../', file.name));
spikes = a.spikes;
angle = a.angle;
angleestimates1 = zeros(size(spikes, 2), 1);
angleestimates2 = zeros(size(spikes, 2), 1);
for j = 1:size(spikes, 2)
rates = zeros(size(spikes, 1), 1);
for k = 1:size(spikes, 1)
r = firingrate(spikes(k, j), 0.0, 0.2);
rates(k) = r;
end
angleestimates1(j) = popvecangle(phases, rates);
[m, inx] = max(rates);
angleestimates2(j) = phases(inx);
end
angles(i) = angle;
e1m(i) = mean(angleestimates1);
e1s(i) = std(angleestimates1);
e2m(i) = mean(angleestimates2);
e2s(i) = std(angleestimates2);
end
figure();
subplot(1, 2, 1);
scatter(angles, e1m);
subplot(1, 2, 2);
scatter(angles, e2m);