MAP

function paradigm_IFMC(handles)

global stimulusParameters experiment betweenRuns

paradigm_training(handles) % default

stimulusParameters.WRVname='maskerLevel';

stimulusParameters.WRVstartValues=50;

stimulusParameters.WRVsteps= [-10 -2];

stimulusParameters.WRVlimits=[-30 110];

experiment.psyFunSlope = -1;

withinRuns.direction='up';

betweenRuns.variableName1='maskerRelativeFrequency';

betweenRuns.variableList1=[1       0.5       1.6   .9 .7   1.1 1.3      ];

betweenRuns.variableName2='targetFrequency';

% keep old list of target frequencies

betweenRuns.variableList2=str2num(get(handles.edittargetFrequency,'string'));

betweenRuns.randomizeSequence=1; % 'random sequence'

stimulusParameters.maskerDuration=0.108;

stimulusParameters.maskerLevel=stimulusParameters.WRVstartValues(1);

stimulusParameters.maskerRelativeFrequency=betweenRuns.variableList1;

stimulusParameters.gapDuration=0.01;

stimulusParameters.targetType='tone';

stimulusParameters.targetPhase='sin';

stimulusParameters.targetFrequency=betweenRuns.variableList2(1);

stimulusParameters.targetDuration=0.016;

stimulusParameters.targetLevel=NaN;

stimulusParameters.rampDuration=0.004;

% instructions to user

% single interval up/down no cue

stimulusParameters.instructions{1}=[{'YES if you hear the added click'}, { }, { 'NO if not (or you are uncertain'}];

% single interval up/down with cue

stimulusParameters.instructions{2}=[{'count how many distinct clicks you hear'},{'ignore the tones'},{' '},...

    {'The clicks must be **clearly distinct** to count'}];