%% Choice Bias AKA Value of Volition Task - 4 stims ---------------- JOYSTICK + EEG % Adapted from Jeff Cockburn's script by JFC 02/18/2015 % clear screen clc; % clear memory clear all; close all; %%%%%%%%%%%%%%%%%% % struct holding info need to present and track data disp_struct = struct(); % struct to hold experiment parameters task_struct = struct(); % will store all subject trials allTrainTrials = []; allTestTrials = []; % start time for the experiment task_struct.startTime = GetSecs(); % set the randome seed RandStream.setGlobalStream(RandStream('mt19937ar','seed',sum(100*clock))); % track the start time for the experiment experiemtn_start = GetSecs(); % get the subject number for data storage subject_number = input('Enter the subject number :\n','s'); session = input('Is this the first or second visit? (enter 1 or 2):\n','s'); session=str2num(session); % Pick 1 or 2 screens (if 1, put 0, if 2, put 1) SCREENS=2; % build the file name file_name = [num2str(subject_number) '_S' num2str(session) '_' datestr(now, 'mm-dd-yyyy_HH-MM-SS')]; % *********% *********% *********% *********% *********% *********% ********* % Initialize joystick addpath(genpath('C:\Users\GA217B\Desktop\PDDys Suite\JoyMEX')); JoyMEX('init',0); % ********* Call JoyTest to get these trigger numbers for each device LEFTKEY=5; RIGHTKEY=6; % Initialize EEG triggers ioObject = io64; LTP1address = hex2dec('C050'); status = io64(ioObject); % *********% *********% *********% *********% *********% *********% ********* % hide the cursor HideCursor(); % skip the screen test for now Screen('Preference', 'SkipSyncTests', 1); % disable user responses from being displayed ListenChar(2); % ensure similar keyboard capture across platforms KbName('UnifyKeyNames'); % initialize [disp_struct, task_struct] = taskInit(disp_struct, task_struct, SCREENS, session, LEFTKEY, RIGHTKEY); %%%%%%%%%%%%%%%%%%%%%%%%% % INSTRUCT train_Inst1(disp_struct); train_Inst2(disp_struct); % instruct_slide = Screen('MakeTexture', disp_struct.wPtr, imread(['../images/Slide1.jpg'])); Screen('DrawTexture', disp_struct.wPtr, instruct_slide); Screen(disp_struct.wPtr, 'Flip');KbWait([],3); %Waits for keyboard(any) press % train_Inst3(disp_struct); % instruct_slide = Screen('MakeTexture', disp_struct.wPtr, imread(['../images/Slide2.jpg'])); Screen('DrawTexture', disp_struct.wPtr, instruct_slide); Screen(disp_struct.wPtr, 'Flip');KbWait([],3); %Waits for keyboard(any) press instruct_slide = Screen('MakeTexture', disp_struct.wPtr, imread(['../images/Slide3.jpg'])); Screen('DrawTexture', disp_struct.wPtr, instruct_slide); Screen(disp_struct.wPtr, 'Flip');KbWait([],3); %Waits for keyboard(any) press % train_Inst4(disp_struct); % instruct_slide = Screen('MakeTexture', disp_struct.wPtr, imread(['../images/Slide4.jpg'])); Screen('DrawTexture', disp_struct.wPtr, instruct_slide); Screen(disp_struct.wPtr, 'Flip');KbWait([],3); %Waits for keyboard(any) press % train_Inst5(disp_struct); runPractice(disp_struct, task_struct, ioObject, LTP1address); train_Inst_Xtra(disp_struct); train_Inst_Xtra2(disp_struct); train_Inst6(disp_struct); %%%%%%%%%%%%%%%%%%% % TRAIN trainDone = false; trainBlock = 0; while ~trainDone trainBlock = trainBlock + 1; % build the training trials trainTrials = buildTrainTrials(disp_struct, task_struct); trainTrials(:, task_struct.cBlock) = trainBlock; trainTrials(:, task_struct.cTrialType) = task_struct.TRAIN; % loop through each trial tI = 1; while tI <= size(trainTrials,1) trainTrials(tI,:) = runTrainTrial(disp_struct, task_struct, trainTrials(tI,:), ioObject, LTP1address); % was this a free-choice trial? if trainTrials(tI, task_struct.cTrialCond) == task_struct.FC % find it's no-choice pair, and set the resp/feedback ncI = find( trainTrials(:, task_struct.cTrialID) == trainTrials(tI, task_struct.cTrialID) & trainTrials(:, task_struct.cTrialCond) == task_struct.NC ); trainTrials(ncI, task_struct.cRespAct) = trainTrials(tI, task_struct.cRespAct) + task_struct.ncAdjust; trainTrials(ncI, task_struct.cRespRew) = trainTrials(tI, task_struct.cRespRew); end % move trial if FC or match under RT limit - otherwise repeat if trainTrials(tI, task_struct.cRespAct) ~= disp_struct.RESP_SLOW && (trainTrials(tI, task_struct.cTrialCond) == task_struct.FC || trainTrials(tI, task_struct.cMatch)) tI = tI + 1; end end % store all training from the current block allTrainTrials = [allTrainTrials; trainTrials]; % check to see if we've exceeded the max # of blocks if trainBlock >= task_struct.maxTrain trainDone = true; elseif trainBlock >= task_struct.minTrain % check performance for each stim pair perfAB = mean(trainTrials(trainTrials(:, task_struct.cS1) == task_struct.sCodes.Afc, task_struct.cRespAct) == task_struct.sCodes.Afc); perfCD = mean(trainTrials(trainTrials(:, task_struct.cS1) == task_struct.sCodes.Cfc, task_struct.cRespAct) == task_struct.sCodes.Cfc); % did they meet performance threshold on all stim pairs trainDone = perfAB >= task_struct.minPerf(1) && perfCD >= task_struct.minPerf(2); end % take a break if ~trainDone trainBreak(disp_struct); end end % while still training %%%%%%%%%%%%%%%%%%% % TEST test_Inst1(disp_struct); testTrials = buildTestTrials(disp_struct, task_struct); tI = 1; % run through all the test trials while tI <= size(testTrials,1) testTrials(tI,:) = runTestTrial(disp_struct, task_struct, testTrials(tI,:), ioObject, LTP1address); % move to the next trial if valid response if testTrials(tI, task_struct.cRespAct) ~= disp_struct.RESP_SLOW tI = tI + 1; end end % while not done test trials % store all test trials allTestTrials = testTrials; % final note to the subject taskDone(disp_struct); % store task data task_struct.endTime = GetSecs(); task_struct.expTime = task_struct.endTime - task_struct.startTime; task_struct.trainTrials = allTrainTrials; task_struct.testTrials = allTestTrials; % save to file save( fullfile('..', 'Data', file_name), 'task_struct', 'disp_struct'); % clean up sca; ListenChar(); ShowCursor();