clear all, close all, format compact
randPosFlag = 0;
% This is non-wrapped connections
%load('conMat/conMat-208302750');
% Code filters out wrapped connections
nGJ = 6 % 16; % 2 % 4 % 6
%randSeed = 213272256;
randSeed = 209766906
load(sprintf('conMat/prim/conMat-avgNGap%d-randSeed%d.mat',nGJ,randSeed));
if(randPosFlag)
fileName = sprintf('network-MARKED-randPos-%d.pov',nGJ);
else
fileName = sprintf('network-MARKED-%d.pov',nGJ);
end
fid = fopen(fileName,'w');
fprintf(fid,'#include "colors.inc"\n\n');
cameraStr = 'camera {\n location <%.2f, %.2f, %.2f>\n look_at <%.2f,%.2f,%.2f>\n\n}\n';
cameraCoord = [4 3 -7];
cameraTarg = [0 0 0];
fprintf(fid, cameraStr, [cameraCoord cameraTarg]);
fsBaseStr = [ '#declare FSneuron =\n' ...
'sphere { <%.2f, %.2f, %.2f>, %.2f\n' ...
' pigment { color rgb<%.2f, %.2f, %.2f> }\n\n' ...
' finish {\n phong 1\n }\n}\n'];
fsBaseCoord = [0 0 -1000];
fsBaseRadie = 0.1;
%fsBaseColour = [0.8 0.4 0.4];
fsBaseColour = [1 1 1];
%fsMarkedColour = [1 1 1.4];
fsMarkedColour = [0.1 0.1 0.1];
fsMarkedRadie = 0.175;
%fsMarkedColour = [0.8 0.4 0.4];
%fsBaseColour = [1 1 1.4];
fprintf(fid,fsBaseStr, [fsBaseCoord fsBaseRadie fsBaseColour]);
fsMarkedStr = [ '#declare FSneuronMARKED =\n' ...
'sphere { <%.2f, %.2f, %.2f>, %.2f\n' ...
' pigment { color rgb<%.2f, %.2f, %.2f> }\n\n' ...
' finish {\n phong 1\n }\n}\n'];
fprintf(fid,fsMarkedStr, [fsBaseCoord fsMarkedRadie fsMarkedColour]);
fsCon = ['object {\n' ...
' cylinder { <%.2f, %.2f, %.2f>, <%.2f, %.2f, %.2f>, %.2f\n' ...
' pigment { color rgb<%.2f, %.2f, %.2f> }\n\n' ...
' finish {\n phong 1\n }\n }\n}\n'];
lightStr = 'light_source { <%.2f, %.2f, %.2f> color White}\n\n';
fprintf(fid, lightStr, [17 95 -35]);
fprintf(fid, lightStr, [-16 20 50]);
fprintf(fid, 'object {FSneuron}\n');
fsStr = [ 'object { FSneuron\n' ...
' translate <%.2f, %.2f, %.2f>\n' ...
'}\n\n'];
fsStrMARKED = [ 'object { FSneuronMARKED\n' ...
' translate <%.2f, %.2f, %.2f>\n' ...
'}\n\n'];
[xCoord,yCoord,zCoord] = meshgrid(-2:2,-2:2,-2:2);
% Which neurons should we mark in separate colour?
markCoords = [-1 1 0; 0 1 0; ...
-1 0 0; 0 0 0; ...
-1 1 -1; 0 1 -1; 1 1 -1; ...
-1 0 -1; 0 0 -1; 1 0 -1];
markedIdx = [];
for i=1:size(markCoords,1)
markedIdx = [markedIdx find(xCoord == markCoords(i,1) ...
& yCoord == markCoords(i,2) ...
& zCoord == markCoords(i,3))];
end
if(randPosFlag)
xCoord = xCoord + 0.2*randn(size(xCoord));
yCoord = yCoord + 0.2*randn(size(yCoord));
zCoord = zCoord + 0.2*randn(size(zCoord));
end
for i=1:length(xCoord(:))
if(nnz(find(i == markedIdx)))
fprintf(fid,fsStrMARKED,[xCoord(i) yCoord(i) zCoord(i)]-fsBaseCoord);
else
fprintf(fid,fsStr,[xCoord(i) yCoord(i) zCoord(i)]-fsBaseCoord);
end
end
[fsCap fsBase] = find(conMat);
%fsCap = [1];
%+fsBase = [2];
for i=1:length(fsCap)
x1 = xCoord(fsCap(i));
y1 = yCoord(fsCap(i));
z1 = zCoord(fsCap(i));
x2 = xCoord(fsBase(i));
y2 = yCoord(fsBase(i));
z2 = zCoord(fsBase(i));
if(norm([(x1 - x2) (y1 - y2) (z1 - z2)]) < 4)
% We want to skip the wrapping GJ
if(nnz(find(fsCap(i) == markedIdx)) & nnz(find(fsBase(i) == markedIdx)))
fprintf(fid, fsCon, [x1 y1 z1 x2 y2 z2 ...
0.03, ...
0.2 0.2 0.2]);
else
fprintf(fid, fsCon, [x1 y1 z1 x2 y2 z2 ...
0.02, ...
0.5 0.5 0.5]);
end
end
end
fclose(fid);
system(sprintf('povray -geometry 1024x768 Output_Alpha=on %s',fileName))
%%%%%%% Now make 2D connection plot for marked neurons
subConMat = full(conMat(markedIdx,markedIdx));
subConMat(find(subConMat)) = 1:length(find(subConMat));
figure
showFSnetwork(subConMat,randSeed,nGJ)