% The purpose of this script is to plot the gap junction currents
% prior and after a spike for the neuron.
%
%
% Run simulation with: runTenInhomoFSGJcorrVariationSaveGJcur.m
% Read data with: readTenInhomoFScorrVarWithGJcur.m
%
close all
% Step 1, load the data and calculate the GJ current
% This is now done in the read-file (see comment above)
% Step 2, Identify the gap junctions to each neuron
clear GJcons
for fileCtr = 1:length(savedSpikeTimes)
for i=1:length(savedSpikeTimes{fileCtr})
GJcons{fileCtr}{i} = [];
end
for i=1:max(conMat{fileCtr}(:))
% Symmetric matrix, since GJ are two way connections
[x,y] = find(conMat{fileCtr} == i);
x = x(1);
y = y(1);
% Positive value indicates our neuron is source, negative value
% indicates it is the dest neuron in a GJ coupled pair
GJcons{fileCtr}{x} = [GJcons{fileCtr}{x} i];
GJcons{fileCtr}{y} = [GJcons{fileCtr}{y} -i];
end
end
% Step 3, identify the spikes
% Step 4, extract the current between 10 ms prior and 10 ms after a
% spike, probably only 10 ms will be used later, but lets do it for
% lots of data first.
% OBS, be careful with the sign, depending of it is the source or dest
% neuron that spikes. Incoming positive charges is defined as positive
% current here. See comment below for electrophys. standard.
clear curTraces
disp('Time to gather data')
for fileCtr = 1:length(savedSpikeTimes)
disp(['Processing file ' num2str(fileCtr) ...
'(' num2str(length(savedSpikeTimes)) ')'])
tUse = linspace(0, maxTime(fileCtr), size(GJcur{fileCtr},1));
curTraces{fileCtr} = [];
% disp(['Looping: fileCtr = ' num2str(fileCtr)])
if(gapResistance(fileCtr) < inf)
for cellCtr = 1:length(savedSpikeTimes{fileCtr})
% disp(['Looping: cellCtr = ' num2str(cellCtr)])
for i = 1:length(savedSpikeTimes{fileCtr}{cellCtr})
% disp(['Looping: i = ' num2str(i)])
% Two places to change if you want to change time window, both
% lines below, and for tIdx further down.
tPre = savedSpikeTimes{fileCtr}{cellCtr}(i) - 10e-3;
tSpik = savedSpikeTimes{fileCtr}{cellCtr}(i);
tPost = savedSpikeTimes{fileCtr}{cellCtr}(i) + 10e-3;
% Throw away the ones at the edges, we want enough data.
if(0 <= tPre && tPost < maxTime(fileCtr))
tIdx = (-100:1:100) + find(abs(tSpik - tUse) == min(abs(tSpik-tUse)),1);
for j=1:length(GJcons{fileCtr}{cellCtr})
neighIdx = GJcons{fileCtr}{cellCtr}(j);
% All gap junctions in the simulation are numbered
% abs(neighIdx) = GJ id-tag
% sign(neighIdx) = flag to indicate direction of positive cur.
curTraces{fileCtr}(:,end+1) = ...
GJcur{fileCtr}(tIdx, abs(neighIdx)) ...
* sign(neighIdx);
end
else
% disp('Time window outside boundaries, throwing away')
end
end
end
else
disp('Inf GJ skipping')
end
end
% Sum the currents together for neurons with same pMix value
% obs, pCorr = 1 - pMix
upMix = unique(pMix);
% Reverse order, to make plot legend look nicer, we want the maximal
% curve to be at the top of the legend for easy reading.
upMix = upMix(end:-1:1);
clear meanCurTrace stdeCurTrace
for pCtr = 1:length(upMix)
pIdx = find(pMix == upMix(pCtr));
% Remove unconnected runs. ie where gap resistance is infinite
pIdx(find(isinf(gapResistance(pIdx)))) = [];
if(nnz(diff(gapResistance(pIdx))))
disp('All gap junctions does not have same resistance, not supported!')
keyboard
end
% Add all curTraces together
allCurTraces = [];
for i=1:length(pIdx)
allCurTraces = [allCurTraces curTraces{pIdx(i)}];
end
meanCurTrace(:,pCtr) = mean(allCurTraces,2);
stdeCurTrace(:,pCtr) = std(allCurTraces,0,2) / ...
sqrt(size(allCurTraces,1) -1);
clear allCurTraces
end
% Plotting
% Since electrophysiologists define positive current as outward
% current we need to multiply all currents by -1.
tSteps = linspace(-10,10,201);
figure
p = plot(tSteps,-1e12*meanCurTrace,'linewidth',2);
clear pLeg
for i=1:length(upMix)
pLeg{i} = sprintf('Shared input %.2f', (1-upMix(i))^2);
end
legend(p,pLeg)
xlabel('Time (ms)','fontsize',20)
ylabel('Current (pA)','fontsize',20)
title('Current through gap junctions','fontsize',24)
set(gca,'FontSize',20)
box off
saveas(p(1), 'FIGS/TenFS/GJ-current-pCorr-plot.fig', 'fig')
saveas(p(1), 'FIGS/TenFS/GJ-current-pCorr-plot.eps', 'psc2')
figure
p2 = plot(tSteps,-1e12*meanCurTrace(:,1:2:end),'linewidth',2);
clear pLeg
for i=1:2:length(upMix)
pLeg{(i+1)/2} = sprintf('Shared input %.1f', (1-upMix(i))^2);
end
legend(p2,pLeg)
xlabel('Time (ms)','fontsize',20)
ylabel('Current (pA)','fontsize',20)
title('Current through gap junctions','fontsize',24)
set(gca,'FontSize',20)
box off
saveas(p2(1), 'FIGS/TenFS/GJ-current-pCorr-plot-cleaner.fig', 'fig')
saveas(p2(1), 'FIGS/TenFS/GJ-current-pCorr-plot-cleaner.eps', 'psc2')