annotate multithreshold 1.46/paradigms/paradigm_thr_IFMC.m @ 9:ecad0ea62b43

May27 mainly better parameters

function paradigm_thr_IFMC(handles)
global stimulusParameters experiment betweenRuns

paradigm_training(handles) % default

betweenRuns.variableName1='targetFrequency';
betweenRuns.variableList1=1000;
betweenRuns.variableList1=str2num(get(handles.edittargetFrequency,'string'));
betweenRuns.variableName2='targetDuration';
betweenRuns.variableList2=0.016;
betweenRuns.randomizeSequence=1; % 'random sequence'

% delay > masker > gap > target


stimulusParameters.targetType='tone';
stimulusParameters.targetPhase='sin';
stimulusParameters.targetFrequency=1000;
stimulusParameters.targetDuration=0.016;
stimulusParameters.targetLevel=stimulusParameters.WRVstartValues(1);

stimulusParameters.rampDuration=0.004;

experiment.stopCriteria2IFC=[75 3 5];
experiment.singleIntervalMaxTrials=[20];


% forced choice window interval
stimulusParameters.AFCsilenceDuration=0.5;

% instructions to user
%   single interval up/down no cue
stimulusParameters.instructions{1}= [{'YES if you hear the tone clearly'}, { }, { 'NO if not (or you are uncertain'}];
%   single interval up/down with cue
stimulusParameters.instructions{2}= [{'count the tones you hear clearly'}, { }, { 'ignore indistinct tones'}];