scripts/TRAINING.m

%*****TRAINING STIM SETUP****

% the number of trials of each stim pairing
Btrials_perType = 5;  % 5 runs each
TotalTrial = 16 * Btrials_perType; % 80 trials total;

% build the B1 trial list
Ayi_trials = repmat([ A,y,i ], Btrials_perType, 1);
Ayc_trials = repmat([ A,y,c ], Btrials_perType, 1);
Abi_trials = repmat([ A,b,i ], Btrials_perType, 1);
Abc_trials = repmat([ A,b,c ], Btrials_perType, 1);
Byi_trials = repmat([ B,y,i ], Btrials_perType, 1);
Byc_trials = repmat([ B,y,c ], Btrials_perType, 1);
Bbi_trials = repmat([ B,b,i ], Btrials_perType, 1);
Bbc_trials = repmat([ B,b,c ], Btrials_perType, 1);
Cyi_trials = repmat([ C,y,i ], Btrials_perType, 1);
Cyc_trials = repmat([ C,y,c ], Btrials_perType, 1);
Cbi_trials = repmat([ C,b,i ], Btrials_perType, 1);
Cbc_trials = repmat([ C,b,c ], Btrials_perType, 1);
Dyi_trials = repmat([ D,y,i ], Btrials_perType, 1);
Dyc_trials = repmat([ D,y,c ], Btrials_perType, 1);
Dbi_trials = repmat([ D,b,i ], Btrials_perType, 1);
Dbc_trials = repmat([ D,b,c ], Btrials_perType, 1);

% define the DETERMINISTIC B1 stim reward contingencies
% ############################################# size is based on trialspertype
Rich=[1;1;1;1;1];
Lean=[0;0;0;0;0];
Sparse=[0;0;0;0;0];
% #############################################
Ayc_trials=[Ayc_trials, Rich];
Abc_trials=[Abc_trials, Rich];
Ayi_trials=[Ayi_trials, Rich];
Abi_trials=[Abi_trials, Rich];
%
Byc_trials=[Byc_trials, Rich];
Bbc_trials=[Bbc_trials, Rich];
Byi_trials=[Byi_trials, Lean];
Bbi_trials=[Bbi_trials, Lean];
%
Cyc_trials=[Cyc_trials, Lean];
Cbc_trials=[Cbc_trials, Lean];
Cyi_trials=[Cyi_trials, Rich];
Cbi_trials=[Cbi_trials, Rich];
%
Dyc_trials=[Dyc_trials, Sparse];
Dbc_trials=[Dbc_trials, Sparse];
Dyi_trials=[Dyi_trials, Sparse];
Dbi_trials=[Dbi_trials, Sparse];

% bind all the trial types to define the block's trials
B_trialList = [Ayi_trials; Ayc_trials; Abi_trials; Abc_trials; Byi_trials; Byc_trials; Bbi_trials; Bbc_trials;...
    Cyi_trials; Cyc_trials; Cbi_trials; Cbc_trials; Dyi_trials; Dyc_trials; Dbi_trials; Dbc_trials;];

% read in the images and create the required textures:  {A,B}{y,b}
% Although A & B won't display punishments (m1.bmp) and C & D won't display rewards(1.bmp), this 
% format keeps things nice and consistent, if a little redundant.
B_images = [];
B_images{1}{1} = imread(['./images/',S1,'_Y.bmp']);
B_images{1}{2} = imread(['./images/',S1,'_B.bmp']);
B_images{1}{3} = imread(['./images/',S1,'_1.bmp']);
B_images{1}{4} = imread(['./images/',S1,'_0.bmp']);
B_images{1}{5} = imread(['./images/',S1,'_m1.bmp']);   % minus 1 for punishments
B_images{1}{6} = imread(['./images/',S1,'.bmp']);
B_images{2}{1} = imread(['./images/',S2,'_Y.bmp']);
B_images{2}{2} = imread(['./images/',S2,'_B.bmp']);
B_images{2}{3} = imread(['./images/',S2,'_1.bmp']);
B_images{2}{4} = imread(['./images/',S2,'_0.bmp']);
B_images{2}{5} = imread(['./images/',S2,'_m1.bmp']);
B_images{2}{6} = imread(['./images/',S2,'.bmp']);
B_images{3}{1} = imread(['./images/',S3,'_Y.bmp']);
B_images{3}{2} = imread(['./images/',S3,'_B.bmp']);
B_images{3}{3} = imread(['./images/',S3,'_1.bmp']);
B_images{3}{4} = imread(['./images/',S3,'_0.bmp']);
B_images{3}{5} = imread(['./images/',S3,'_m1.bmp']);
B_images{3}{6} = imread(['./images/',S3,'.bmp']);
B_images{4}{1} = imread(['./images/',S4,'_Y.bmp']);
B_images{4}{2} = imread(['./images/',S4,'_B.bmp']);
B_images{4}{3} = imread(['./images/',S4,'_1.bmp']);
B_images{4}{4} = imread(['./images/',S4,'_0.bmp']);
B_images{4}{5} = imread(['./images/',S4,'_m1.bmp']);
B_images{4}{6} = imread(['./images/',S4,'.bmp']);

% randomize the images
B_images_rand=[];
randx_i=randperm(size(B_images,2));
count=1;
for randx=1:size(B_images,2)
    B_images_rand{count}{1} = B_images{randx_i(randx)}{1};
    B_images_rand{count}{2} = B_images{randx_i(randx)}{2};
    B_images_rand{count}{3} = B_images{randx_i(randx)}{3};
    B_images_rand{count}{4} = B_images{randx_i(randx)}{4};
    B_images_rand{count}{5} = B_images{randx_i(randx)}{5};
    B_images_rand{count}{6} = B_images{randx_i(randx)}{6};
    count=count+1;
end

% load all the textures
B_textures = [];
for BTexture_index = 1 : size(B_images_rand, 2) % Number of stims
    for color_index = 1 : size(B_images_rand{BTexture_index}, 2) %1=Y, 2=B, 3=1, 4=0, 5=k
        B_textures{BTexture_index}{color_index} = Screen('MakeTexture', wPtr, B_images_rand{BTexture_index}{color_index});
    end
end
global B_textures

% load the textures into an array mapping onto corresponding choice ids
textures = [];
textures(A,y,i) = B_textures{1}{1}; % {A,B,C,D}{y,b}
textures(A,y,c) = B_textures{1}{1};
textures(A,b,i) = B_textures{1}{2};
textures(A,b,c) = B_textures{1}{2};
textures(B,y,i) = B_textures{2}{1};
textures(B,y,c) = B_textures{2}{1};
textures(B,b,i) = B_textures{2}{2};
textures(B,b,c) = B_textures{2}{2};
textures(C,y,i) = B_textures{3}{1};
textures(C,y,c) = B_textures{3}{1};
textures(C,b,i) = B_textures{3}{2};
textures(C,b,c) = B_textures{3}{2};
textures(D,y,i) = B_textures{4}{1};
textures(D,y,c) = B_textures{4}{1};
textures(D,b,i) = B_textures{4}{2};
textures(D,b,c) = B_textures{4}{2};

% Feedback - standard CC with green +1 and red 0  (no punishment -1 shapes)
FBtextures(A,1) = B_textures{1}{3}; % cells are: {A,B,C,D},{y,b,rew,0,pun,tst}
FBtextures(A,2) = B_textures{1}{4};
FBtextures(B,1) = B_textures{2}{3};
FBtextures(B,2) = B_textures{2}{4};
FBtextures(C,1) = B_textures{3}{3};
FBtextures(C,2) = B_textures{3}{4};
FBtextures(D,1) = B_textures{4}{3};
FBtextures(D,2) = B_textures{4}{4};

%****BEGIN B*****

BComplete = false;
numBBlocks = 1; %*******Determines # of Blocks*******
Bblock_index = 0;
no_response = false;

% loop through the TRAINING phase
while ~BComplete
    
    % track trial ids
    trial_ids = [];
    % track trial type
    trial_stimuli = [];
    %track response
    trial_response = [];
    % track which stim was choosen
    trial_selectedStim = [];
    % track the rt
    trial_RT = [];
    % track the accuracy
    trial_accuracy = [];
    % track the feedback
    trial_feedback = [];
    
    % increment the block index
    Bblock_index = Bblock_index + 1;
    
    random_index = randperm(size(B_trialList, 1));
    randomized_trialList = B_trialList(random_index,:);
    
    trial_index = 1;
    while trial_index <= TotalTrial
        
        % Fixation
        fixation_text = '+';
        Screen('TextFont',wPtr,'Times');
        Screen('TextStyle',wPtr,0);
        Screen('TextColor',wPtr,[255 255 255]);
        Screen('TextSize',wPtr,80);
        DrawFormattedText(wPtr,fixation_text,'center','center');
        Screen(wPtr, 'Flip');
        % show the fixation for 1 sec
        WaitSecs(1);
        
        % get the current trial's info
        type = randomized_trialList(trial_index, 1);
        color = randomized_trialList(trial_index, 2);
        congru = randomized_trialList(trial_index, 3);
        TRIALCODE=strcat(num2str(color),num2str(congru),num2str(type));
        TRIALTRIGGER=str2double(TRIALCODE);
        
        % define the correct choice
        if  color==1
            correct_choice = left_button;
        elseif color==2
            correct_choice = right_button;
        end
        % define the window side based on congruency
        if  color==1 && congru==1     %(yellow-congruent==left)
            rect = left_rect;
        elseif color==1 && congru==2  %(yellow-incongruent==right)
            rect = right_rect;
        elseif color==2 && congru==1  %(blue-congruent==right)
            rect = right_rect;
        elseif color==2 && congru==2  %(blue-incongruent==left)
            rect = left_rect;
        end
        
        % now draw the stim
        Screen('DrawTexture', wPtr, textures(type,color,congru), [], rect);
        Screen(wPtr, 'Flip');
%        io64(ioObject,LTP1address,TRIALTRIGGER); WaitSecs(.05); io64(ioObject,LTP1address,0);
        err=DaqDOut(DAQindx, 0, TRIALTRIGGER); WaitSecs(0.05);

        % start the trial timer;
        startTime = GetSecs();
        
        wait_stamp=GetSecs;
        % display "tmp"
        while 1
            %[a ab] = JoyMEX(0);
            [ keyIsDown, seconds, keyCode ] = KbCheck(GPindx);
            if keyIsDown
                if keyCode(left_button) &&  left_button==correct_choice
                    subject_choice = left_button;
                    no_response = false;
                    trlResponse = 1;
                    trlAccuracy = 1;
                    RESPTRIGGER = 101;
                    break;
                elseif keyCode(right_button) &&  right_button==correct_choice
                    subject_choice = right_button;
                    no_response = false;
                    trlResponse = 1;
                    trlAccuracy = 1;
                    RESPTRIGGER = 102;
                    break;
                elseif keyCode(left_button) &&  left_button~=correct_choice % ERROR!
                    subject_choice = left_button;
                    no_response = false;
                    trlResponse = 1;
                    trlAccuracy = 0;
                    RESPTRIGGER = 103;
                    break;
                elseif keyCode(right_button) &&  right_button~=correct_choice % ERROR!
                    subject_choice = right_button;
                    no_response = false;
                    trlResponse = 1;
                    trlAccuracy = 0;
                    RESPTRIGGER = 104;
                    break;
                end
            elseif(GetSecs-wait_stamp) > RESPDEADLINE,
                subject_choice = no_response;
                no_response = true;
                trlResponse = -1;
                trlAccuracy = -1;
                RESPTRIGGER = 105;
                break;
            else
                RESPTRIGGER = 249;
            end
        end
        %io64(ioObject,LTP1address,RESPTRIGGER); WaitSecs(.05); io64(ioObject,LTP1address,0);
        % stop the trial timer
        err=DaqDOut(DAQindx, 0, RESPTRIGGER); WaitSecs(0.05)
        RT = GetSecs() - startTime - 0.05;
        WaitSecs(0.12 + rand/FUDGE); % Immediate Feedback????? NO! has 0.17 delay
        err=DaqDOut(DAQindx, 0, 0);

        % determine if they selected the right or left stim
        if subject_choice == correct_choice
            trlselectedStim = 1;
            % get the selected stim's reward contingency
            reward_contingency = randomized_trialList(trial_index, 4);
        else
            trlselectedStim = 0;
        end
        
        WaitSecs(0.005);
        
        % determine the reward feedback
        Screen('TextSize',wPtr,60);
        Screen('TextFont',wPtr,'Times');
        Screen('TextStyle',wPtr,1);
        if no_response == true
            Screen('TextColor',wPtr,[200 0 0]);
            reward_text = 'No Response.   -3';
            trlFeedback = -3;
            FixRewardProbs = 1;
            reward = 0;
            FBTRIGGER=7;
        elseif no_response == false
            if trlAccuracy == 0
                Screen('TextColor',wPtr,[255 0 0]);
                reward_text = 'ERROR! -3';
                trlFeedback = -3;
                FixRewardProbs = 1;
                reward = 0;
                FBTRIGGER=6;
            else
                if  reward_contingency ==1    % REWARD or ZERO
                    Screen('TextColor',wPtr,[0 255 0]);
                    FB=FBtextures(type,1);
                    trlFeedback = 1;
                    FixRewardProbs = 0;
                    reward=1;
                    FBTRIGGER=8;
                elseif reward_contingency ==0   % ZERO or PUNISHMENT - NO REWARD FOR YOU!
                    Screen('TextColor',wPtr,[0 0 255]);
                    FB=FBtextures(type,2);
                    trlFeedback = 0;
                    FixRewardProbs = 0;
                    reward = 0;
                    FBTRIGGER=9;
                end
            end
        end
        
        % If trial was an error or no-response, add trial to end
        if FixRewardProbs == 1
            % Add the error trial to the end.
            randomized_trialList(end+1, :) = randomized_trialList(trial_index, :);
            TotalTrial=TotalTrial+1;
            FixRewardProbs=0;
        end
        
        % now show feedback based on response and stim contingencies
        if trlAccuracy ~= 1
            DrawFormattedText(wPtr,reward_text,'center','center');
            Screen(wPtr, 'Flip');
            %lptwrite(888, FBTRIGGER); WaitSecs(0.15); lptwrite(888, 0);
            %io64(ioObject,LTP1address,FBTRIGGER);
            err=DaqDOut(DAQindx, 0, FBTRIGGER); WaitSecs(0.05);
        elseif trlAccuracy == 1
            Screen('DrawTexture', wPtr, FB, [], rect);  
            Screen(wPtr, 'Flip');
            %io64(ioObject,LTP1address,FBTRIGGER); WaitSecs(.05); io64(ioObject,LTP1address,0);
            err=DaqDOut(DAQindx, 0, FBTRIGGER); WaitSecs(0.05);
        end
        clear FBTRIGGER TRIALTRIGGER RESPTRIGGER FB;
        
        % show the feedback for 1 sec
        WaitSecs(0.95);
        err=DaqDOut(DAQindx, 0, 0);

        % Store the trial data
        %
        % update the trial number list
        trial_ids = [trial_ids; trial_index];
        % store the trial stimuli
        trial_stimuli = [trial_stimuli; randomized_trialList(trial_index,:)];
        %store response
        trial_response = [trial_response; trlResponse];
        % store the RT
        trial_RT = [trial_RT; RT];
        % store the subject's choice
        trial_selectedStim = [trial_selectedStim; trlselectedStim];
        % store accuracy independent of feedback
        trial_accuracy = [trial_accuracy; trlAccuracy];
        % store the feedback
        trial_feedback = [trial_feedback; trlFeedback];
        
        % increment the trial index
        trial_index = trial_index + 1;
        
    end % end trialnum < randomindex
    
    % mark each trial with the block number
    data_block = zeros(size(trial_ids, 1), 1) + Bblock_index;
    % collate all the data from the block
    data_block = [data_block, trial_ids, trial_stimuli, trial_response, trial_selectedStim, trial_RT, trial_accuracy, trial_feedback];
    
    % check to see if Block is done
    if Bblock_index >= numBBlocks
        BComplete = true;
    end
    
end

% Save Block data
save([datadir 'M' num2str(subject_number),'_B',num2str(Block),'_CC_train.mat'],'data_block','randx_i');