Analysis-Visual-Search/klPlotAspectColor.m at master · treppert/Analysis-Visual-Search · GitHub

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
function klPlotAspectColor(Task)

close all; clearvars -except Task
maxSaccTime = 800;
%
if isfield(Task,'IsRepeat') && any(isfinite(Task.IsRepeat))
    Task = klCutTask(Task,Task.IsRepeat==0);
end

colormap = [.8 .2 .2;... Red
    .2 .8 .2;... Green
    .8 .8 .2;... Yellow
    .8 .2 .8;... Magenta
    .2 .8 .8]; % Cyan
vSize=[1.0,1.1,1.2,1.3,1.4,2.0]; hSize = 1./vSize;
s=nunique(Task.SingletonColor);
d=nunique(Task.DistractorColor);
s(ismember(s,5)) = [];
d(ismember(d,5)) = [];
for is = 1:length(s)
    for id = 1:length(d)
        for i = 0:5
            colorRTs(is,i+1,id) = nanmedian(Task.SRT(Task.Correct==1 & Task.SingletonDiff==i & Task.SingletonColor==s(is) & Task.DistractorColor==d(id)));
            colorStd(is,i+1,id) = nanstd(Task.SRT(Task.Correct==1 & Task.SingletonDiff==i & Task.SingletonColor==s(is) & Task.DistractorColor==d(id)))./sqrt(sum(Task.Correct==1 & Task.SingletonDiff==i & Task.SingletonColor==s(is) & Task.DistractorColor==d(id)));
            colorPercSacc(is,i+1,id) = sum(Task.SRT < maxSaccTime & Task.EndStimLoc==Task.TargetLoc & Task.Abort==0 & Task.SingletonColor==s(is) & Task.DistractorColor==d(id) & Task.SingletonDiff==i)/sum(Task.Abort==0 & Task.DistractorColor==d(id) & Task.SingletonColor==s(is) & Task.SingletonDiff==i);
        end
    end
end

% Now we should identify easy and hard color trials
if isfield(Task,'HardColor')
    isHardColor = Task.HardColor;
else
    isHardColor = nan(length(Task.SingletonColor),1);
    for is = 1:length(s)
        switch s(is)
            case 0 % Red, magenta (3) = hard     Now: 2
                isHardColor(Task.SingletonColor==s(is) & ismember(Task.DistractorColor,2)) = 1;%3)) = 1;
                isHardColor(Task.SingletonColor==s(is) & ismember(Task.DistractorColor,[1])) = 0;%,4])) = 0;
            case 1 % Green, cyan (4) = hard      Now: 9
                isHardColor(Task.SingletonColor==s(is) & ismember(Task.DistractorColor,9)) = 1;%4)) = 1;
                isHardColor(Task.SingletonColor==s(is) & ismember(Task.DistractorColor,0)) = 0;%[0,3])) = 0;
            case 3 % Magenta, red (0) = hard     Now: 7
                isHardColor(Task.SingletonColor==s(is) & ismember(Task.DistractorColor,0)) = 1;
                isHardColor(Task.SingletonColor==s(is) & ismember(Task.DistractorColor,[1,4])) = 0;
            case 4 % Cyan, green (1) = hard      Now: 8
                isHardColor(Task.SingletonColor==s(is) & ismember(Task.DistractorColor,1)) = 1;
                isHardColor(Task.SingletonColor==s(is) & ismember(Task.DistractorColor,[0,3])) = 0;
        end
    end
end

% dPrime = @(hits,falseAlarms) norminv(hits)-norminv(falseAlarms);
% [allRTs, allStd, allPercSacc, allDPrime] = deal(nan(2,6));
% for i = 0:5
%     for ii = 0:1
%         if sum(Task.SingletonDiff==i) > 20
%             allRTs(ii+1,i+1) = nanmean(Task.SRT(Task.Correct==1 & Task.SingletonDiff==i & isHardColor==ii));
%             allStd(ii+1,i+1) = nanstd(Task.SRT(Task.Correct==1 & Task.SingletonDiff==i & isHardColor==ii))./sqrt(sum(Task.Correct==1 & Task.SingletonDiff==i & isHardColor==ii));
%             allPercSacc(ii+1,i+1) = sum(Task.SRT < maxSaccTime & Task.EndStimLoc==Task.TargetLoc & Task.Abort==0 & Task.SingletonDiff==i & isHardColor==ii)/sum(Task.Abort==0 & Task.SingletonDiff==i & isHardColor==ii);
%             allDPrime(ii+1,i+1) = dPrime(allPercSacc(ii+1,i+1),allPercSacc(ii+1,1));
%         end
%     end
% end


dPrime = @(hits,falseAlarms) norminv(hits)-norminv(falseAlarms);
[allRTs, allStd, allPercSacc, allDPrime] = deal(nan(2,6));
for i = 0:5
    for ii = 0:1
        if sum(Task.SingletonDiff==i) > 20
            allRTs(ii+1,i+1) = nanmean(Task.SRT(Task.Correct==1 & Task.SingletonDiff==i & isHardColor==ii));
            allStd(ii+1,i+1) = nanstd(Task.SRT(Task.Correct==1 & Task.SingletonDiff==i & isHardColor==ii))./sqrt(sum(Task.Correct==1 & Task.SingletonDiff==i & isHardColor==ii));
            allPercSacc(ii+1,i+1) = sum(Task.SRT < maxSaccTime & Task.Correct==1 & Task.Abort==0 & Task.SingletonDiff==i & isHardColor==ii)/sum(Task.Abort==0 & Task.SingletonDiff==i & isHardColor==ii);
%             allPercSacc(ii+1,i+1) = sum(Task.SRT < maxSaccTime & Task.EndStimLoc==Task.TargetLoc & Task.Abort==0 & Task.SingletonDiff==i & isHardColor==ii)/sum(Task.Abort==0 & Task.SingletonDiff==i & isHardColor==ii);
            allDPrime(ii+1,i+1) = dPrime(allPercSacc(ii+1,i+1),allPercSacc(ii+1,1));
        end
    end
end


% t = {'Red Singleton','Green Singleton','Yellow Singleton','Magenta Singleton','Cyan Singleton'};
% figure();
% for is = 1:length(s)
%     sp(is)=subplot(2,length(s),is);
%     for id = 1:length(d)
%         errorbar(log2(vSize(2:end)./hSize(2:end)),colorRTs(is,2:end,id),colorStd(is,2:end,id),'color',colormap(d(id)+1,:)); hold on;
%     end
%     title(t{s(is)+1});
%     if is == 1, ylabel('Response Time (ms)'); end
% %     xlabel('log2(Aspect Ratio)');
% end
% linkaxes(sp,'y');
%
% for is = 1:length(s)
%     sp(is) = subplot(2,length(s),is+length(s)); hold on;
%     for id = 1:length(d)
%         plot(log2(vSize./hSize),colorPercSacc(is,:,id),'color',colormap(d(id)+1,:));
%     end
% %     title(t{s(is)+1});
%     if is == 1, ylabel('Percent Saccades'); end
%     xlabel('log2(Aspect Ratio)');
%
% end
% linkaxes(sp,'y');
allVars = whos('all*');
for iv = 1:length(allVars)
    eval(sprintf('pro%s=all%s(:,2:end);',allVars(iv).name(4:end),allVars(iv).name(4:end)));
end
allX = vSize./hSize;%log2(vSize./hSize);
proX = allX(2:end);

figure();
subplot(1,2,1); hold on;
errorbar(proX(isfinite(proRTs(1,:))),proRTs(1,isfinite(proRTs(1,:))),proStd(1,isfinite(proRTs(1,:))),'color','k');
errorbar(proX(isfinite(proRTs(2,:))),proRTs(2,isfinite(proRTs(2,:))),proStd(2,isfinite(proRTs(2,:))),'color',[.8 .2 .2]);
ylabel('Response Time (ms)');
xlabel('Aspect Ratio');
l=legend({'High Disc.','Low Disc.'}); set(l,'location','northeast');
subplot(1,2,2); hold on;
plot(allX(isfinite(allPercSacc(1,:))),allPercSacc(1,isfinite(allPercSacc(1,:))),'color','k');
plot(allX(isfinite(allPercSacc(2,:))),allPercSacc(2,isfinite(allPercSacc(2,:))),'color',[.8 .2 .2]);
ylabel('Percent Saccades');
xlabel('Aspect Ratio');

% Plot D Prime
figure();
subplot(1,2,1); hold on;
plot(allX(isfinite(allDPrime(1,:))),allDPrime(1,isfinite(allDPrime(1,:))),'color','k');
plot(allX(isfinite(allDPrime(2,:))),allDPrime(2,isfinite(allDPrime(2,:))),'color',[.8 .2 .2]);
xlabel('log2(Aspect Ratio)');
ylabel('d''');
l=legend({'High Disc.','Low Disc.'}); set(l,'location','southeast');
subplot(1,2,2); hold on;
plot(allDPrime(1,2:end),allRTs(1,2:end),'color','k');
plot(allDPrime(2,2:end),allRTs(2,2:end),'color',[.8 .2 .2]);
xlabel('d''');
ylabel('Response Time (ms)');

%% Plot RT distributions by aspect ratio
figure(); hold on;
% Get range of RTs
minRT = min(Task.SRT(Task.Abort==0 & Task.SingletonDiff > 0)); maxRT = max(Task.SRT(Task.Abort==0 & Task.SingletonDiff > 0));
rtX = linspace(floor(minRT),ceil(maxRT),200);
scaleVal = .075;
for i = 0:5
    %% Get easy ones
    % Get PDF using ksdensity
    tmpRTs = Task.SRT(Task.Correct==1 & Task.SingletonDiff == i & isHardColor==0);
    if any(isfinite(tmpRTs))
        [corrPDF, corrX] = ksdensity(tmpRTs,rtX);
        corrPDF = ((corrPDF./sum(corrPDF)).*(sum(Task.Correct==1 & Task.SingletonDiff==i & isHardColor==0)./sum(Task.Abort==0 & Task.SingletonDiff==i & isHardColor==0)))./scaleVal;
        corrPatchX = [corrX,fliplr(corrX)];
        corrPatchY = (-1.*[corrPDF,zeros(1,length(corrPDF))]) + i;%log2(vSize(i+1)./hSize(i+1));
        patch(corrPatchY,corrPatchX,[.3 .3 .3],'FaceAlpha',.5);
        plot([min(corrPatchY),max(corrPatchY)],[1,1].*nanmedian(Task.SRT(Task.Correct==1 & Task.SingletonDiff == i & isHardColor==0)),'color','k');
    end

    %% Get hard ones
    tmpRTs = Task.SRT(Task.Correct==1 & Task.SingletonDiff == i & isHardColor==1);
    if any(isfinite(tmpRTs))
        [errPDF, errX] = ksdensity(tmpRTs,rtX);
        errPDF = ((errPDF./sum(errPDF)).*(sum(Task.Correct==1 & isHardColor==1 & Task.SingletonDiff==i)./sum(Task.Abort==0 & Task.SingletonDiff==i & isHardColor==1)))./scaleVal;
        errPatchX = [errX,fliplr(errX)];
        errPatchY = [errPDF,zeros(1,length(errPDF))] + i;%log2(vSize(i+1)./hSize(i+1));
        patch(errPatchY,errPatchX,[.8 .2 .2],'FaceAlpha',.5);
        plot([min(errPatchY),max(errPatchY)],[1,1].*nanmedian(Task.SRT(Task.Correct==1 & Task.SingletonDiff == i & isHardColor==1)),'color',[.8 .2 .2]);
    end

end
set(gca,'XLim',[-.5,5.5],'XTick',0:5,'YLim',[0,1000],'YTick',0:250:1000,'box','off','tickdir','out','ticklength',get(gca,'ticklength').*3);
% set(gca,'XLim',[-.1,2.5],'XTick',log2(0:5),'YLim',[0,1000],'YTick',0:250:100,'box','off','tickdir','out','ticklength',get(gca,'ticklength').*3);
xlabel('Aspect Ratio Index'); ylabel('Response Time (ms)');
title([Task.Subject(1:2),' ',Task.Date]);