SVMCrossVal.git

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function plotDecodePerformance(type,decode,subjectData)
header = decode.header;
timeline = header.timeline;
frameshift = header.frameShift;
psthStart         = timeline.psthStart;
psthEnd           = timeline.psthEnd;
frameStart        = frameshift.frameShiftStart;
frameEnd          = frameshift.frameShiftEnd;
nClasses          = numel(header.classDef.labelCells);
decodePerformance = decode.decodePerformance;
psth              = decode.rawTimeCourse;
ert               = psth; % Rename to EventRelatedTimeline
SubjectID         = subjectData;
nSubjects         = size(SubjectID,2);
nTrials           = getNTrials(psth);
    f = figure;
  
    hold on;
    chanceLevel = 100/nClasses;
    axis([psthStart psthEnd 0 100])
    xlabel('time [sec]');
    ylabel('decode performance [%]');
    
    
plottime= tic;
    switch type
        case 'psth'
            plotPSTH(ert,psthStart,psthEnd);  
            
        case 'trajectory'
            plotTrajectory(ert,psthStart,psthEnd);
        case 'trajectory3'
            plotTrajectory3(ert);
        case 'simple'
            plotDecodePerformanceWithSE(frameStart,frameEnd,decodePerformance)
            plot([psthStart psthEnd],[chanceLevel chanceLevel],'k:');
            plotBinConfidenceIntervall(psthStart,psthEnd,nTrials,0.05,chanceLevel/100,'--');
            plotBinConfidenceIntervall(psthStart,psthEnd,nTrials,0.01,chanceLevel/100,'-.');
            plotBinConfidenceIntervall(psthStart,psthEnd,nTrials,0.001,chanceLevel/100,':');
        case 'class performance'
 
 
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