scripts/VV_Main.m

%% 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();