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%_______________________________________________________________________
%
% core function for drawing random dots motion on presentation screen
%_______________________________________________________________________
%
function [frames,dotInfo, ExperimentProtocol,ResultMat,DisplayInfo] = dotsX_JQK_MAT_170627(screenInfo,dotInfo,targets,indTrial,ExperimentProtocol,ResultMat,DisplayInfo)
% DOTSX display dots or targets on screen
%
% [frames,rseed,start_time,end_time,response,response_time] = dotsX(screenInfo,dotInfo,targets)
%
% For information on minimum fields of screenInfo and dotInfo arguments, see
% also openExperiment and createDotInfo. The input argument - "targets" is not
% necessary unless showing targets with the dots. Since rex only likes integers,
% almost everything is in visual degrees * 10.
%
% dotInfo.numDotField number of dot patches that will be shown on screen
% dotInfo.coh vertical vectors, dots coherence (0...999) for each
% dot patch
% dotInfo.speed vertical vectors, dots speed (10th deg/sec) for each
% dot patch
% dotInfo.dir vertical vectors, dots direction (degrees) for each
% dot patch
% dotInfo.dotSize size of dots in pixels, same for all patches
% dotInfo.movingDotColor color of dots in RGB for moving dots, same for all patches
% dotInfo.randomDotColor color of dots in RGB for random dots, same for all patches
% dotInfo.maxDotsPerFrame determined by testing video card
% dotInfo.apXYD x, y coordinates, and diameter of aperture(s) in
% visual degrees
% dotInfo.maxDotTime optional to set maximum duration (sec). If not provided,
% dot presentation is terminated only by user response
% dotInfo.trialtype 1 fixed duration, 2 reaction time
% dotInfo.keys a set of keyboard buttons that can terminate the
% presentation of dots (optional)
% dotInfo.mouse a set of mouse buttons that can terminate the
% presentation of dots (optional)
%
% screenInfo.curWindow window pointer on which to plot dots
% screenInfo.center center of the screen in pixels
% screenInfo.ppd pixels per visual degree
% screenInfo.monRefresh monitor refresh value
% screenInfo.dontclear If set to 1, flip will not clear the framebuffer
% after Flip - this allows incremental drawing of
% stimuli. Needs to be zero for dots to be erased.
% screenInfo.rseed random # seed, can be empty set[]
%
% targets.rects dimensions for drawOval
% targets.colors color of targets
% targets.show optional, if only showing certain targets but don't
% want to change targets structure (index number of
% targets) to be shown during dots
% DisplayInfo contains info on which conjunction of dots was
% presented where
%
% Algorithm:
% All calculations take place within a square aperture in which the dots are
% shown. The dots are constructed in 3 sets that are plotted in sequence. For
% each set, the probability that a dot is replotted in motion -- as opposed to
% randomly replaced -- is given by the dotInfo.coh value. This routine generates
% a set of dots as an (ndots,2) matrix of locations, and then plots them. In
% plotting the next set of dots (e.g., set 2), it prepends the preceding set
% (e.g., set 1).
%
% created by MKMK July 2006, based on ShadlenDots by MNS, JIG and others
% adapted by JQK 2017
% Structures are not altered in this function, so should not have memory
% problems from matlab creating new structures.
% CURRENTLY THERE IS AN ALMOST ONE SECOND DELAY FROM THE TIME DOTSX IS
% CALLED UNTIL THE DOTS START ON THE SCREEN! THIS IS BECAUSE OF PRIORITY.
% NEED TO EVALUATE WHETHER PRIORITY IS REALLY NECESSARY.
if nargin < 3
targets = [];
showtar = [];
else
if isfield(targets,'show')
showtar = targets.show;
else
showtar = 1:size(targets.rects,1);
end
end
curWindow = screenInfo.curWindow;
white = [255 255 255];
%% other initializiation
if isfield(dotInfo,'movingDotColor')
movingDotColor = dotInfo.movingDotColor;
else
movingDotColor = white;
end
if isfield(dotInfo,'randomDotColor')
randomDotColor = dotInfo.randomDotColor;
else
randomDotColor = white;
end
% set new random seed at each iteration and retain seed
rng(sum(100*clock), 'twister');
[dotInfo.curSeed{indTrial}] = rng;
% Query the frame duration
ifi = Screen('GetFlipInterval', curWindow);
% In order to find out if using keypress or mouse, all trials should have spacekey
% for abort, unless its a demo. Spacekey means end experiment after this trial -
% sends abort message to experiment.
keys = [];
abort = [];
if isfield(dotInfo, 'keyLeft')
keys = [dotInfo.keyLeft dotInfo.keyRight];
elseif isfield(dotInfo, 'keySpace')
abort = nan;
end
if isfield(targets,'select')
h = targets.select(:,1);
k = targets.select(:,2);
r = targets.select(:,3);
end
% Create the aperture square
%apRect = floor(createTRect(dotInfo.apXYD, screenInfo));
apD = dotInfo.apXYD(:,3); % diameter of aperture
center = repmat(screenInfo.center,size(dotInfo.apXYD(:,1)));
% Change x,y coordinates to pixels (y is inverted - pos on bottom, neg. on top)
center = [center(:,1) + dotInfo.apXYD(:,1)/10*screenInfo.ppd center(:,2) - ...
dotInfo.apXYD(:,2)/10*screenInfo.ppd]; % where you want the center of the aperture
center(:,3) = dotInfo.apXYD(:,3)/2/10*screenInfo.ppd; % add diameter
d_ppd = floor(apD/10 * screenInfo.ppd); % size of aperture in pixels
dotSize = dotInfo.dotSize; % probably better to leave this in pixels, but not sure
% ndots is the number of dots shown per video frame. Dots will be placed in a
% square of the size of aperture.
% - Size of aperture = Apd*Apd/100 sq deg
% - Number of dots per video frame = 16.7 dots per sq deg/sec,
% When rounding up, do not exceed the number of dots that can be plotted in a
% video frame (dotInfo.maxDotsPerFrame). maxDotsPerFrame was originally in
% setupScreen as a field in screenInfo, but makes more sense in createDotInfo as
% a field in dotInfo.
ndots = min(dotInfo.maxDotsPerFrame, ...
ceil(16.7 * apD .* apD * 0.01 / screenInfo.monRefresh));
%% MAT definition
% 170627: For each feature, the dissociation may differ based on difficulty
% of the stimulus.
for indFeature = 1:4
dotInfo.MAT.ndotsH(1,indFeature) = dotInfo.MAT.(['percAtt', num2str(indFeature), 'H']) * ndots;
dotInfo.MAT.ndotsL(1,indFeature) = dotInfo.MAT.(['percAtt', num2str(indFeature), 'L']) * ndots;
% The following is just a sanity check and should not cause problems in
% the current setup.
if dotInfo.MAT.ndotsL(1,indFeature) > dotInfo.MAT.ndotsH(1,indFeature)
disp('Warning: Check percentages for the likelihood. The second percentage appears to be larger than the first.');
end
end
% get the a priori defined higher probability option for each feature
curChoices = dotInfo.HighProbChoice(:,indTrial);
curChoices(isnan(curChoices)) = 1; % only necessary if we test a single condition
% encode info on currently active parameters for each feature
for indAtt = 1:4
atts.(dotInfo.MAT.attNames{indAtt}) = [];
atts.(dotInfo.MAT.attNames{indAtt})(1,1) = dotInfo.MAT.(dotInfo.MAT.attNames{indAtt})(curChoices(indAtt));
atts.(dotInfo.MAT.attNames{indAtt})(1,2) = dotInfo.MAT.(dotInfo.MAT.attNames{indAtt})(3-curChoices(indAtt));
atts.(dotInfo.MAT.attNames{indAtt})(2,1) = curChoices(indAtt);
atts.(dotInfo.MAT.attNames{indAtt})(2,2) = 3-curChoices(indAtt);
end
%% prepare checkerboard
% white = 255;
% black = 0;
% grey = 0; % note that background is also black
% % Query the frame duration
% ifi = Screen('GetFlipInterval', curWindow);
% % Screen resolution in Y
% screenYpix = screenInfo.screenRect(4)-200;
% % Number of white/black circle pairs
% rcycles = 8;
% % Number of white/black angular segment pairs (integer)
% tcycles = 26;
% % Now we make our checkerboard pattern
% xylim = 2 * pi * rcycles;
% xylim_small = 1 * pi * rcycles;
% [x, y] = meshgrid(-xylim: 2 * xylim / (screenYpix - 1): xylim,...
% -xylim: 2 * xylim / (screenYpix - 1): xylim);
% at = atan2(y, x);
% checks = ((1 + sign(sin(at * tcycles) + eps)...
% .* sign(sin(sqrt(x.^2 + y.^2)))) / 2) * (white - black) + black;
% circle = x.^2 + y.^2 <= xylim^2 & x.^2 + y.^2 >= xylim_small^2;
% checks = circle .* checks + grey * ~circle;
% % % Now we make this into a PTB texture
% % radialCheckerboardTexture(1) = Screen('MakeTexture', curWindow, checkerContrast.*checks);
% % radialCheckerboardTexture(2) = Screen('MakeTexture', curWindow, 1 - checkerContrast.*checks);
% % set starting texture cue
% textureCue = [1 2];
% brightPixels = find(checks == 255);
% darkPixels = find(checks ~= 255 & circle == 1);
%
% determine update frequency of the two contents
% checkFlipTimeSecs = 1/dotInfo.Hz_BG;
% checkFlipTimeFrames = round(checkFlipTimeSecs / ifi);
frameCounter = 0;
cbframeCounter = 0;
cbFlip = 1;
RDMFlipTimeSecs = 1/dotInfo.Hz_RDM;
RDMFlipTimeFrames = round(RDMFlipTimeSecs / ifi);
%% get display size (for BG dots)
sizeX = screenInfo.screenRect(3);
sizeY = screenInfo.screenRect(4);
dontclear = screenInfo.dontclear;
% The main loop
frames = 0;
priorityLevel = MaxPriority(curWindow,'KbCheck');
Priority(priorityLevel);
% Make sure the fixation still on
for i = showtar
Screen('FillOval',screenInfo.curWindow,targets.colors(i,:),targets.rects(i,:));
end
Screen('DrawingFinished',curWindow,dontclear);
%% get starting parameters
%currentSegment = 1;
%coh = dotInfo.coh{indCond}(currentSegment)./1000;
%direction = dotInfo.dir{indCond}(currentSegment);
%time = dotInfo.presTime{indCond}(currentSegment);
%Contrast = dotInfo.Contrast(indTrial);
% % Create checkerboard textures according to contrast
% checks1 = checks;
% checks1(brightPixels) = 255.*Contrast;
% checks2 = checks;
% checks2(brightPixels) = 0;
% checks2(darkPixels) = 255.*Contrast;
% radialCheckerboardTexture(1) = Screen('MakeTexture', curWindow, checks1);
% radialCheckerboardTexture(2) = Screen('MakeTexture', curWindow, checks2);
% How dots are presented: 1st group of dots are shown in the first frame, a 2nd
% group are shown in the second frame, a 3rd group shown in the third frame.
% Then in the next (4th) frame, some percentage of the dots from the 1st frame
% are replotted according to the speed/direction and coherence. Similarly, the
% same is done for the 2nd group, etc.
% initialize dot fields
for df = 1 : dotInfo.numDotField
ss{df} = rand(ndots(df)*3, 2); % array of dot positions raw [x,y]
% Divide dots into three sets
Ls{df} = cumsum(ones(ndots(df),3)) + repmat([0 ndots(df) ndots(df)*2], ...
ndots(df), 1);
loopi(df) = 1; % loops through the three sets of dots
end
%% PRESENT CUE
if dotInfo.durCue > 0
if dotInfo.DirAttn(indTrial) == 1
%Cue = dotInfo.targetAtt(indTrial); % current attribute
Cue = dotInfo.MAT.attNamesDE{dotInfo.targetAtt(indTrial)};
%DrawFormattedText(screenInfo.curWindow, Cue, 'center', 'center');
% instead of text, show exemplars
CueImg = ['/Volumes/fb-lip/LNDG/Julian/Projects/DYNSAT/C_Paradigm/MAT_V2/img/', dotInfo.MAT.attNames{dotInfo.targetAtt(indTrial)},'?.png'];
[cueLoad,map,alpha] = imread(CueImg);
cue2Disp = Screen('MakeTexture',screenInfo.curWindow,cueLoad);
smallIm = CenterRect([0 0 floor(size(cueLoad,2)/1.5) floor(size(cueLoad,1)/1.5)], screenInfo.screenRect);
Screen('DrawTexture', screenInfo.curWindow, cue2Disp, [], smallIm); % draw the object
elseif dotInfo.DirAttn(indTrial) == 2
% Cue = '?';
% DrawFormattedText(screenInfo.curWindow, Cue, 'center', 'center');
CueImg = ['/Volumes/fb-lip/LNDG/Julian/Projects/DYNSAT/C_Paradigm/MAT_V2/img/??.png'];
[cueLoad,map,alpha] = imread(CueImg);
cue2Disp = Screen('MakeTexture',screenInfo.curWindow,cueLoad);
smallIm = CenterRect([0 0 floor(size(cueLoad,2)/1.5) floor(size(cueLoad,1)/1.5)], screenInfo.screenRect);
Screen('DrawTexture', screenInfo.curWindow, cue2Disp, [], smallIm); % draw the object
end
CueOnset = Screen('Flip', curWindow,0,dontclear);
ExperimentProtocol = [ExperimentProtocol; {'CueOnset'}, {CueOnset}, {[]}, {[]}, {[]}, {indTrial}]
while GetSecs()-CueOnset < dotInfo.durCue % wait until cuetime is over
end
end
%% PRESENT MAT STIMULUS
TimeStamping = [];
StartTime = GetSecs();
BlockOnset = StartTime;
ExperimentProtocol = [ExperimentProtocol; {'TrialOnset'}, {StartTime}, {[]}, {[]}, {[]}, {indTrial}]
ExperimentProtocol = [ExperimentProtocol; {'RDMUpdate'}, {StartTime}, {[]}, {[]}, {[]}, {indTrial}]
numOfFlips = 0;
% initiate response cue
KbQueueCreate; KbQueueStart;
while GetSecs()-StartTime < dotInfo.durPres % loop while presentation time has not been reached
% On each update, the assignments of the attributes to pixels changes.
% get point cloud according to direction distribution (no incoherence here)
if dotInfo.MAT.coherence ~= 0
[maxVal,~] = max([dotInfo.MAT.percAtt2H, dotInfo.MAT.percAtt2L]);
else maxVal = 0;
end;
for df = 1:dotInfo.numDotField
% update movement field with current direction
% dxdy is an N x 2 matrix that gives jumpsize in units on 0..1
% deg/sec * ap-unit/deg * sec/jump = ap-unit/jump
dxdy_1{df} = repmat((dotInfo.speed(df)/10) * (10/apD(df)) * ...
(3/screenInfo.monRefresh) * [cos(pi*atts.direction(1,1)/180.0), ...
-sin(pi*atts.direction(1,1)/180.0)], ndots(df),1);
dxdy_2{df} = repmat((dotInfo.speed(df)/10) * (10/apD(df)) * ...
(3/screenInfo.monRefresh) * [cos(pi*atts.direction(1,2)/180.0), ...
-sin(pi*atts.direction(1,2)/180.0)], ndots(df),1);
% ss is the matrix with 3 sets of dot positions, dots from the last 2
% positions and current dot positions
% Ls picks out the set (e.g., with 5 dots on the screen at a time, 1:5,
% 6:10, or 11:15)
% Lthis has the dot positions from 3 frames ago, which is what is then
Lthis{df} = Ls{df}(:,loopi(df));
% Moved in the current loop. This is a matrix of random numbers - starting
% positions of dots not moving coherently.
this_s{df} = ss{df}(Lthis{df},:);
% Update the loop pointer
loopi(df) = loopi(df)+1;
if loopi(df) == 4
loopi(df) = 1;
end
% Compute new locations, how many dots move coherently
L = rand(ndots(df),1) < maxVal;
% Offset the selected dots
this_s{df}(L,:) = bsxfun(@plus,this_s{df}(L,:),dxdy_1{df}(L,:));
if sum(~L) > 0
if maxVal ~= 0
this_s{df}(~L,:) = bsxfun(@plus,this_s{df}(~L,:),dxdy_2{df}(~L,:)); % get the opposite direction for the rest
else
this_s{df}(~L,:) = rand(sum(~L),2); % get new random locations for the rest
end;
end
% Check to see if any positions are greater than 1 or less than 0 which
% is out of the square aperture, and replace with a dot along one of the
% edges opposite from the direction of motion.
N = sum((this_s{df} > 1 | this_s{df} < 0)')' ~= 0;
if sum(N) > 0
xdir = sin(pi*atts.direction(1,1)/180.0); % Simplify things and just use the primary direction here.
ydir = cos(pi*atts.direction(1,1)/180.0);
% Flip a weighted coin to see which edge to put the replaced dots
if rand < abs(xdir)/(abs(xdir) + abs(ydir))
this_s{df}(find(N==1),:) = [rand(sum(N),1),(xdir > 0)*ones(sum(N),1)];
else
this_s{df}(find(N==1),:) = [(ydir < 0)*ones(sum(N),1),rand(sum(N),1)];
end
end
% Convert for plot
this_x{df} = floor(d_ppd(df) * this_s{df}); % pix/ApUnit
% It assumes that 0 is at the top left, but we want it to be in the
% center, so shift the dots up and left, which means adding half of the
% aperture size to both the x and y directions.
dot_show{df} = (this_x{df} - d_ppd(df)/2)';
end
% For each feature, randomly select higher amount of dots in the first
% cell and lower amount of dots in the second cell. The randomization
% is conducted before each flip.
% Ordering of features: color, direction, size, luminance
for indFeature = 1:4
tmp_randChoice = randperm(ndots); % Note that the seed has been saved, so the process should be replicable.
if indFeature == 2 && maxVal ~= 0 % direction is already set
randMat{indFeature,indTrial,1} = find(L); % L is always the higher probability
randMat{indFeature,indTrial,2} = find(~L);
else
randMat{indFeature,indTrial,1} = tmp_randChoice(1:ceil(dotInfo.MAT.ndotsH(1,indFeature))); % round up; might cause slightly more than the requested lower probability
randMat{indFeature,indTrial,2} = tmp_randChoice(ceil(dotInfo.MAT.ndotsH(1,indFeature))+1:end);
end
end
% For displaying, we need to know the dots of conjunction attributes
% that have to be drawn. These will be encoded in the randMat structure.
combs = allcomb([1,2],[1,2],[1,2],[1,2]); % Note that 1 & 2 refer to the higher/lower prob option here.
for indComb = 1:size(combs,1)
dotsIdx{indComb} = mintersect(randMat{1,indTrial,combs(indComb,1)},...
randMat{2,indTrial,combs(indComb,2)},...
randMat{3,indTrial,combs(indComb,3)},...
randMat{4,indTrial,combs(indComb,4)});
end
%% After all computations, flip to draw dots from the previous loop.
% For the first call, this doesn't draw anything.
vbl = Screen('Flip', curWindow,0,dontclear);
TimeStamping = [TimeStamping; vbl];
%% update checkerboard
% % Increment the counter
% frameCounter = frameCounter + 1;
% cbframeCounter = cbframeCounter + 1;
%
% % Reverse the texture cue to show the other polarity if the time is up
% % measured according to specified frequency
%
% if ~mod(cbframeCounter, dotInfo.UpdatesJitter{indCond}(cbFlip))
% textureCue = fliplr(textureCue);
% cbFlip = cbFlip + 1;
% cbframeCounter = 0;
% end
% % Draw our texture to the screen
% Screen('DrawTexture', curWindow, radialCheckerboardTexture(textureCue(1)));
%% Draw random dots if it's time to update, although nothing is flipped yet
if ~mod(frameCounter, RDMFlipTimeFrames)
% Note that dots that fall outside the circle are just dropped.
% This may screw up the properties of the display.
% NaN out-of-circle dots
xyDis = dot_show{1};
outCircle = sqrt(xyDis(1,:).^2 + xyDis(2,:).^2) + dotInfo.dotSize/2 > center(df,3);
dots2Display = dot_show{1};
dots2Display(:,outCircle) = NaN;
Disp.color = cell(size(combs,1),1);
Disp.dirDots = cell(size(combs,1),1);
Disp.dotSize = cell(size(combs,1),1);
Disp.lum = cell(size(combs,1),1);
for indComb = 1:size(combs,1)
if numel(dotsIdx{indComb}) > 0
% referencing: attribute vector(index of higher/lower choice(prob of current comb))
% combs(indComb, X): for this combination, is feature X higher high or low prob
% atts.x(2,1): high prob option for feature; atts.X(2,2): low prob option
Disp.color{indComb,1} = dotInfo.MAT.color(atts.color(2,combs(indComb, 1)),:);
Disp.dirDots{indComb,1} = dots2Display(:, dotsIdx{indComb}); % Note that 1 is always the index for the dots of the highest probability direction.
Disp.dirDots{indComb,1} = Disp.dirDots{indComb,1}(:,~any(isnan(Disp.dirDots{indComb,1}),1)); % remove NaN columns
Disp.dotSize{indComb,1} = dotInfo.MAT.size(atts.size(2,combs(indComb, 3)));
Disp.lum{indComb,1} = dotInfo.MAT.luminance(atts.luminance(2,combs(indComb, 4)));
end
end
% Note that the intersection allocation should be saved for subsequent
% processing as it is unlikely that the dimensions are orthogonal.
% Therefore, they may constitute relevant intertrial variance in the
% presentation (e.g. encoding model). Furthermore, the location
% position can inform the visual sampling process.
numOfFlips = numOfFlips+1;
DisplayInfo.CombPositionByTrial{1,indTrial}(:,numOfFlips) = Disp.dirDots;
DisplayInfo.CombSamples(:,indTrial,numOfFlips) = cellfun(@numel, Disp.dirDots);
end
if exist('Disp')
for indComb = 1:size(combs,1)
if numel(Disp.dirDots{indComb}) > 0
Screen('DrawDots',curWindow,Disp.dirDots{indComb},Disp.dotSize{indComb},Disp.lum{indComb}.*Disp.color{indComb},center(df,1:2));
end
end
end
% Draw targets
for i = showtar
Screen('FillOval',screenInfo.curWindow,targets.colors(i,:),targets.rects(i,:));
end
%% Prepare next dots presentation
% Tell PTB to get ready while doing computations for next dots presentation
Screen('DrawingFinished',curWindow,dontclear);
%Screen('BlendFunction', curWindow, GL_ONE, GL_ZERO);
for df = 1 : dotInfo.numDotField
% Update the dot position array for the next loop
ss{df}(Lthis{df}, :) = this_s{df};
end
% Advance to next RDM state if time has passed
% if GetSecs()-StartTime >= dotInfo.presTime{indCond}(currentSegment)
% currentSegment = currentSegment + 1;
% if currentSegment > numel(dotInfo.coh{indCond}) % amount of segments exceeded
% break;
% end;
% %coh = dotInfo.coh{indCond}(currentSegment)./1000;
% %direction = dotInfo.dir{indCond}(currentSegment);
% time = dotInfo.presTime{indCond}(currentSegment);
% StartTime = GetSecs();
% ExperimentProtocol = [ExperimentProtocol; {'RDMUpdate'}, {StartTime}, {[]}, {[]}, {[]}, {coh}, {direction}, {Contrast}]
% end;
% User may terminate the dots by pressing certain keyboard keys defined by
% "keys". Pressing the escape key will exit the experiment
if not(isempty(keys))
[exitKeyPressed, ~, keyIsDown, secs, keyCode] = checkKeys(dotInfo);
if keyIsDown
% Exit experiment
if exitKeyPressed
response{3} = -1;
return
end
% End trial, have response
if numel(find(keyCode)) == 1 && any(keyCode(keys))
response{3} = find(keyCode(keys));
response_time = secs;
end
end
end
end
% Present the last frame of dots
Screen('Flip',curWindow,0,dontclear);
% Erase the last frame of dots, but leave up fixation and targets (if targets
% are up). Make sure the fixation still on.
showTargets(screenInfo,targets,showtar);
%% QUERY RESPONSE
if dotInfo.durResp ~= 0
CueImg = ['/Volumes/fb-lip/LNDG/Julian/Projects/DYNSAT/C_Paradigm/MAT_V2/img/', dotInfo.MAT.attNames{dotInfo.targetAtt(indTrial)},'.png'];
[cueLoad,map,alpha] = imread(CueImg);
cue2Disp = Screen('MakeTexture',screenInfo.curWindow,cueLoad);
smallIm = CenterRect([0 0 floor(size(cueLoad,2)/1.5) floor(size(cueLoad,1)/1.5)], screenInfo.screenRect);
Screen('DrawTexture', screenInfo.curWindow, cue2Disp, [], smallIm); % draw the object
% Cue = [dotInfo.MAT.attNamesDE{dotInfo.targetAtt(indTrial)}, '?'];
% DrawFormattedText(screenInfo.curWindow, Cue, 'center', 'center', [255 255 255]);
RespOnset = Screen('Flip', curWindow,0,dontclear);
ExperimentProtocol = [ExperimentProtocol; {'RespOnset'}, {RespOnset}, {[]}, {[]}, {[]}, {indTrial}]
if dotInfo.HighProbAtt(indTrial) == 1
correctResp = 80; % response left
elseif dotInfo.HighProbAtt(indTrial) == 2
correctResp = 79; % response right
end
tmp_response = NaN;
kp = NaN;
rt = NaN;
while GetSecs()-RespOnset < dotInfo.durResp % wait until cuetime is over
%% check for responses
[keyIsDown, firstPress, ~, ~, ~] = KbQueueCheck;
if keyIsDown == 1
kp = find(firstPress);
rt = firstPress(kp)-RespOnset; % reference to onset of last interval
% encode accuracy
if kp == correctResp
tmp_response = 1;
disp('Correct');
else
tmp_response = 0;
disp('Wrong');
end
ExperimentProtocol = [ExperimentProtocol; {'Resp'}, {firstPress(kp)}, {rt}, {kp}, {tmp_response}, {indTrial}];
if dotInfo.feedback == 1
% show accuracy by textcolor
if tmp_response == 1
DrawFormattedText(screenInfo.curWindow, 'korrekt', 'center', 'center', [0 255 0]);
elseif tmp_response == 0
DrawFormattedText(screenInfo.curWindow, 'falsch', 'center', 'center', [255 0 0]);
end
Screen('Flip', curWindow,0,dontclear); clear TextColor;
end
end % end of response encode loop
end
ResultMat(indTrial,:) = [dotInfo.DirAttn(indTrial), dotInfo.targetAtt(indTrial), rt, tmp_response];
end;
%% close
end_time = GetSecs;
Priority(0);