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exp_fearamy_PFfitting_constant.m
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function [p]=exp_fearamy_PFfitting_constant(subject,phase,csp_degree)
% Diskrimination Task estimating the Threshold alpha of an
% observer's underlying Psychometric Function (PF), using constant stimuli.
% Enter the subject Number as well as the CS+ Face in Degrees (where 00 is
% 1st face, and so), optional input choses version (fixcrossjumps vs. free
% viewing)
simulation_mode = 0;
fixjump = 1;
% make a break every ....th Trial
breakpoint = 50;
ListenChar(2);%disable pressed keys to be spitted around
commandwindow;
%clear everything
clear mex global functions
cgshut;
global cogent;
%%%%%%%%%%%load the GETSECS mex files so call them at least once
GetSecs;
WaitSecs(0.001);
el = [];
p = [];
SetParams;
SetPTB;
InitEyeLink;
WaitSecs(2);
ShowInstruction(1);
%calibrate if we are at the scanner computer.
if strcmp(p.hostname,'triostim1') || strcmp(p.hostname,'etpc');
CalibrateEL;
end
SetupLog;
%save the parameter file
save(p.path.path_param,'p');
ShowInstruction(3);
% counter for within chain trials (cc) and global trials (tt)
cc = zeros(1,tchain);
tt = 0;
%trialID is counting every single face (2 per Trial_YN), need that for
%Eyelink
trialID = 0;
STOP = 0;
while ~STOP
chains = find(cc<p.psi.presentation.numtrials_chain);
if length(chains) == 1
current_chain = chains;
elseif length(chains) >1
current_chain = RandSample(chains,[1 1]);
end
if tt~=tchain*p.psi.presentation.numtrials_chain
tt=tt+1;
% enter in break loop
if (tt~=1 && mod(tt,breakpoint)==1 && simulation_mode==0);
save(p.path.path_param,'p');
ShowInstruction(4);
CalibrateEL;
end
cc(current_chain)=cc(current_chain)+1;
fprintf('Chain %4.2f , Chain trial %03d/%03d...',current_chain,cc(current_chain),p.psi.presentation.numtrials_chain)
%Present trial here at stimulus intensity x and collect
%response
fprintf('x is now %4.2f \n',x(cc(current_chain),current_chain))
test = x(cc(current_chain),current_chain) + csn_shift(current_chain) + csp_degree;
dummy = test;
test = mod(test,360);
% the reference is csp or csn
ref = csn_shift(current_chain) + csp_degree;
ref = mod(ref,360);
% start Trial
fprintf('Starting Trial %03d/%03d.\n',tt,tchain*p.psi.presentation.numtrials_chain)
[test_face, ref_face, signal,trialID] = Trial_YN(trialID,ref,test,p.stim.tFace,tt);
fprintf('Rating.\n')
Screen('Textsize', p.ptb.w,p.text.fontsize);
%Rating Slider
%
message1 = 'Waren die Gesichter unterschiedlich oder gleich?\n';
message2 = 'Bewegen Sie den "Zeiger" mit der rechten und linken Pfeiltaste\n und bestätigen Sie Ihre Einschätzung mit der oberen Pfeiltaste.';
if ~simulation_mode
rect = [p.ptb.width*0.2 p.ptb.midpoint(2) p.ptb.width*0.6 100];
[response_subj] = RatingSlider(rect,2,Shuffle(1:2,1),p.keys.increase,p.keys.decrease,p.keys.confirm,{ 'unterschiedlich' 'gleich'},message1,message2,0);
% see if subject found the different pair of faces...
% buttonpress left (Yes) is response_subj=2, right alternative (No) outputs a 1.
% note that response=1 only means "yes", and not correct or anything
sdt = NaN;
if (response_subj == 2 && signal == 1)
response=1;
fprintf('...Hit. \n')
sdt=1;
elseif (response_subj==1 && signal == 1)
response=0;
fprintf('...Miss. \n')
sdt=3;
elseif (response_subj == 2 && signal==0)
response=1;
fprintf('...False Alarm. \n')
sdt=2;
elseif (response_subj == 1 && signal == 0)
response=0;
fprintf('...Correct Rejection. \n')
sdt=4;
else
fprintf('error in the answer algorithm! \n')
end
else
true_a = 45;
true_s = 5;
true_g = 0.2;
true_l = 0.02;
response = ObserverResponseFunction(@PAL_CumulativeNormal,true_a,1/true_s,true_g,true_l,abs(x(cc(current_chain),current_chain)));
sdt = nan;
end
% store everything in the Log
row = find(unique(x)==x(cc(current_chain),current_chain));
p.psi.log.trial_counter(row,current_chain) = p.psi.log.trial_counter(row,current_chain) + 1;
p.psi.log.xrounded(row,p.psi.log.trial_counter(row,current_chain),current_chain) = response;
SetLog;
%iteration control
STOP = sum(cc >= p.psi.presentation.numtrials_chain) == tchain;
end
%final save of parameter-/logfile
save(p.path.path_param,'p');
end
%end of Experiment, shown to subject
ShowInstruction(2);
%Print summary of results to screen
% for chain=1:tchain
% fprintf('Chain %g: Estimated Threshold (alpha): %4.2f \n',chain,PM{chain}.threshold(end));
% fprintf('Chain %g: Estimated Slope (beta): %4.2f \n',chain,PM{chain}.slope(end));
% end
%get the eyelink file back to this computer
StopEyelink(p.path.edf);
%close everything down
cleanup;
%move the folder to appropriate location
movefile(p.path.subject,p.path.finalsubject);
% subplot(2,1,1)
% errorbar(p.psi.presentation.uniquex,nanmean(p.psi.log.xrounded(:,:,1),2),nanstd(p.psi.log.xrounded(:,:,1),0,2),'b.','MarkerSize',20)
% title('CSP chain')
% subplot(2,1,2)
% errorbar(p.psi.presentation.uniquex,nanmean(p.psi.log.xrounded(:,:,2),2),nanstd(p.psi.log.xrounded(:,:,2),0,2),'r.','MarkerSize',20)
% title('CSN chain')
function [test_face,ref_face,signal,trialID] = Trial_YN(trialID,ref_stim,test_stim,last_face_of_circle,tt)
Screen('Textsize', p.ptb.w,p.text.fixsize);
% computes the trial FACES, using the test/ref information input
% values (in Deg)
trial = [ref_stim test_stim]/p.stim.delta;
% correct face number within circle
trial = mod(round(trial),last_face_of_circle)+1;
ref_face = trial(1);
test_face = trial(2);
[trial,idx]= Shuffle(trial);
fprintf('Faces: %d %d \n',trial(1),trial(2));
%compute if trial had different faces or not
%if trial(1)=trial(2), they were the same and subject has to
%answer with 'no' (right option, is 1), else means correct hit
if trial(1)==trial(2)
signal = 0;
else
signal = 1;
end
trial_deg = [ref_stim test_stim];
isref = double(trial==ref_face) ;
delta_ref = MinimumAngleQuartile([trial_deg(idx(1)) trial_deg(idx(2))],ref);
delta_csp = MinimumAngleQuartile([trial_deg(idx(1)) trial_deg(idx(2))],csp_degree); % ...
abs_FGangle = [trial_deg(idx(1)) trial_deg(idx(2))];
trialID=trialID+1;
%get fixation crosses and onsets from p parameter
%GetSecs so that the onsets can be defined
if fixjump ==1
onsets = 0.25+GetSecs; %fix1 onset
onsets = [onsets onsets(end)+p.duration.fix+rand(1)*.25];%stim1 onset
onsets = [onsets onsets(end)+p.duration.crossmoves]; %fix jump
onsets = [onsets onsets(end)+p.duration.crossmoves]; %stim offset
fixdelta = p.duration.fix+rand(1)*.25;
onsets = [onsets onsets(end)+p.duration.isi-fixdelta]; %fix2 onset
onsets = [onsets onsets(end)+fixdelta]; %stim2 onset
onsets = [onsets onsets(end)+p.duration.crossmoves]; %fix jump
onsets = [onsets onsets(end)+p.duration.crossmoves]; %stim offset
else
onsets = 0.25+GetSecs;%fix1 onset
onsets = [onsets onsets(end)+p.duration.fix+rand(1)*.25];%stim1 onset
onsets = [onsets onsets(end)+p.duration.stim];%stim1 offset
fixdelta = p.duration.fix+rand(1)*.25;
onsets = [onsets onsets(end)+p.duration.isi-fixdelta];%fix2 onset
onsets = [onsets onsets(end)+fixdelta];%stim2 onset
onsets = [onsets onsets(end)+p.duration.stim];%stim2 offset
end
if fixjump ==1
fix_i = p.psi.presentation.fix_start(cc(current_chain),current_chain);
fix = round([p.ptb.CrossPosition_x p.ptb.CrossPosition_y(fix_i)]);
FixCross = [fix(1)-1,fix(2)-p.ptb.fc_size,fix(1)+1,fix(2)+p.ptb.fc_size;fix(1)-p.ptb.fc_size,fix(2)-1,fix(1)+p.ptb.fc_size,fix(2)+1];
%fixation cross 1
%FixCross = [fix(1,1)-1,fix(1,2)-p.ptb.fc_size,fix(1,1)+1,fix(1,2)+p.ptb.fc_size;fix(1,1)-p.ptb.fc_size,fix(1,2)-1,fix(1,1)+p.ptb.fc_size,fix(1,2)+1];
Screen('FillRect', p.ptb.w, [255,255,255], FixCross');
Eyelink('Message', 'FX Onset at %d %d',fix(1),fix(2));
Screen('Flip',p.ptb.w,onsets(1),0);
StartEyelinkRecording(trialID,phase,cc(current_chain),tt,current_chain,isref(1),trial(1),delta_ref(1),delta_csp(1),abs_FGangle(1),fix(1,1),fix(1,2));
%face trial(1)
Screen('DrawTexture',p.ptb.w,p.ptb.stim_sprites(trial(1)));
Screen('FillRect', p.ptb.w, [255,255,255], FixCross');
Screen('Flip',p.ptb.w,onsets(2),0);
Eyelink('Message', 'Stim Onset');
Eyelink('Message', 'SYNCTIME');
%fixJUMP trial(1)
fix = [p.ptb.CrossPosition_x p.ptb.CrossPosition_y(setdiff(1:2,fix_i))];%take the other position
FixCross = [fix(1)-1,fix(2)-p.ptb.fc_size,fix(1)+1,fix(2)+p.ptb.fc_size;fix(1)-p.ptb.fc_size,fix(2)-1,fix(1)+p.ptb.fc_size,fix(2)+1];
%FixCross = [fix(2,1)-1,fix(2,2)-p.ptb.fc_size,fix(2,1)+1,fix(2,2)+p.ptb.fc_size; fix(2,1)-p.ptb.fc_size,fix(2,2)-1,fix(2,1)+p.ptb.fc_size,fix(2,2)+1];
Screen('DrawTexture',p.ptb.w,p.ptb.stim_sprites(trial(1)));
Screen('FillRect', p.ptb.w, [255,255,255], FixCross');
Screen('Flip',p.ptb.w,onsets(3),0);
while GetSecs<onsets(4)
end
Screen('Flip',p.ptb.w,onsets(4),0);
StopEyelinkRecording;
%second face of the trial
trialID=trialID+1;
%fixation cross 2
fix_i = p.psi.presentation.fix_start(cc(current_chain),current_chain);
fix = [p.ptb.CrossPosition_x p.ptb.CrossPosition_y(fix_i)];
FixCross = [fix(1)-1,fix(2)-p.ptb.fc_size,fix(1)+1,fix(2)+p.ptb.fc_size;fix(1)-p.ptb.fc_size,fix(2)-1,fix(1)+p.ptb.fc_size,fix(2)+1];
Screen('FillRect', p.ptb.w, [255,255,255], FixCross');
Eyelink('Message', 'FX Onset at %d %d',fix(1),fix(2));
Screen('Flip',p.ptb.w,onsets(5),0);
StartEyelinkRecording(trialID,phase,cc(current_chain),tt,current_chain,isref(2),trial(2),delta_ref(2),delta_csp(2),abs_FGangle(2),fix(1,1),fix(1,2));
%face trial(1)
Screen('DrawTexture',p.ptb.w,p.ptb.stim_sprites(trial(2)));
Screen('FillRect', p.ptb.w, [255,255,255], FixCross');
Screen('Flip',p.ptb.w,onsets(6),0);
Eyelink('Message', 'Stim Onset');
Eyelink('Message', 'SYNCTIME');
%fixJUMP trial(1)
fix = [p.ptb.CrossPosition_x p.ptb.CrossPosition_y(setdiff(1:2,fix_i))];%take the other position
FixCross = [fix(1)-1,fix(2)-p.ptb.fc_size,fix(1)+1,fix(2)+p.ptb.fc_size;fix(1)-p.ptb.fc_size,fix(2)-1,fix(1)+p.ptb.fc_size,fix(2)+1];
Screen('DrawTexture',p.ptb.w,p.ptb.stim_sprites(trial(2)));
Screen('FillRect', p.ptb.w, [255,255,255], FixCross');
Screen('Flip',p.ptb.w,onsets(7),0);
while GetSecs<onsets(8)
end
Screen('Flip',p.ptb.w,onsets(8),0);
StopEyelinkRecording;
elseif fixjump ==0;
fix = round(p.ptb.CrossPositions(tt,:));
%fixation cross 1
FixCross = [fix(1)-1,fix(2)-p.ptb.fc_size,fix(1)+1,fix(2)+p.ptb.fc_size;fix(1)-p.ptb.fc_size,fix(2)-1,fix(1)+p.ptb.fc_size,fix(2)+1];
Screen('FillRect', p.ptb.w, [255,255,255], FixCross');
Eyelink('Message', 'FX Onset at %d %d',fix(1),fix(2));
Screen('Flip',p.ptb.w,onsets(1),0);
StartEyelinkRecording(trialID,phase,cc(current_chain),tt,current_chain,isref(1),trial(1),delta_ref(1),delta_csp(1),abs_FGangle(1),fix(1),fix(2));
%face trial(1)
Screen('DrawTexture',p.ptb.w,p.ptb.stim_sprites(trial(1)));
Screen('Flip',p.ptb.w,onsets(2),0);
Eyelink('Message', 'Stim Onset');
Eyelink('Message', 'SYNCTIME');
while GetSecs < onsets(3)
end
Screen('Flip',p.ptb.w,onsets(3),0);
StopEyelinkRecording;
%second face of the trial
trialID=trialID+1;
%fixation cross 2
FixCross = [fix(3)-1,fix(4)-p.ptb.fc_size,fix(3)+1,fix(4)+p.ptb.fc_size;fix(3)-p.ptb.fc_size,fix(4)-1,fix(3)+p.ptb.fc_size,fix(4)+1];
Screen('FillRect', p.ptb.w, [255,255,255], FixCross');
Eyelink('Message', 'FX Onset at %d %d',fix(3),fix(4));
Screen('Flip',p.ptb.w,onsets(4),0);
StartEyelinkRecording(trialID,phase,cc(current_chain),tt,current_chain,isref(2),trial(2),delta_ref(2),delta_csp(2),abs_FGangle(2),fix(3),fix(4));
%face trial(2)
Screen('DrawTexture', p.ptb.w, p.ptb.stim_sprites(trial(2)));
Screen('Flip',p.ptb.w,onsets(5),0);
Eyelink('Message', 'Stim Onset');
Eyelink('Message', 'SYNCTIME');
while GetSecs<onsets(6)
end
Screen('Flip',p.ptb.w,onsets(6),0);
StopEyelinkRecording;
end
end
function SetPTB
debug =0;
%Open a graphics window using PTB
screens = Screen('Screens');
[~, hostname] = system('hostname');
p.hostname = deblank(hostname);
if strcmp(p.hostname,'etpc')
p.ptb.screenNumber=1;
else
p.ptb.screenNumber=max(screens);
end
%make everything transparent for debuggin purposes.
if debug
commandwindow;
PsychDebugWindowConfiguration;
end
Screen('Preference', 'SkipSyncTests', 1);
Screen('Preference', 'DefaultFontSize', p.text.fontsize);
Screen('Preference', 'DefaultFontName', p.text.fontname);
Screen('Preference', 'TextAntiAliasing',2);%enable textantialiasing high quality
Screen('Preference', 'VisualDebuglevel', 0);
%
if strcmp(p.hostname,'etpc')
res = [1600 1200];
else
res = [1920 1200];
end
p.ptb.oldres = Screen('Resolution',p.ptb.screenNumber,res(1),res(2));
%hide the cursor
%HideCursor(p.ptb.screenNumber);
%spit out the resolution
if ~ismac
fprintf('Resolution of the screen is set to %dx%d...\n',res(1),res(2));
end
%Open a graphics window using PTB
p.ptb.w = Screen('OpenWindow', p.ptb.screenNumber, p.var.current_bg);
Screen('BlendFunction', p.ptb.w, GL_SRC_ALPHA, GL_ONE_MINUS_SRC_ALPHA);
Screen('Flip',p.ptb.w);%make the bg
p.ptb.slack = Screen('GetFlipInterval',p.ptb.w)./2;
[p.ptb.width, p.ptb.height] = Screen('WindowSize', p.ptb.screenNumber);
if sum([p.ptb.width p.ptb.height] - [1280 960]) ~= 0
fprintf('SET THE CORRECT SCREEN RESOLUTION\n');
end
%find the mid position on the screen.
p.ptb.midpoint = [ p.ptb.width./2 p.ptb.height./2];
%NOTE about RECT:
%RectLeft=1, RectTop=2, RectRight=3, RectBottom=4.
p.ptb.imrect = round([ p.ptb.midpoint(1)-p.stim.width/2 p.ptb.midpoint(2)-p.stim.height/2 p.stim.width p.stim.height]);
p.ptb.cross_shift = round([180 -120]./(1000/323));%incremental upper and lower cross positions
p.ptb.CrossPosition_x = p.ptb.midpoint(1);%always the same
p.ptb.CrossPosition_y = [p.ptb.midpoint(2)+p.ptb.cross_shift];
%cross position for the eyetracker screen.
p.ptb.CrossPositionET_x = [p.ptb.midpoint(1) p.ptb.midpoint(1)];
p.ptb.CrossPositionET_y = [p.ptb.midpoint(2)+p.ptb.cross_shift];
p.ptb.fc_size = 10;
%
if fixjump == 0
p.ptb.CrossPositions = FixationCrossPool;
end
Priority(MaxPriority(p.ptb.w));
for nStim = 1:p.stim.tFile
filename = p.stim.files(nStim,:);
[im , ~, ~] = imread(filename);
%what is this good for?
if ndims(im) == 3
p.stim.stim(:,:,nStim) = rgb2gray(im);
else
p.stim.stim(:,:,nStim) = im;
end
p.ptb.stim_sprites(nStim) = Screen('MakeTexture', p.ptb.w, im );
end
p.stim.delta = 360/p.stim.tFile;
%create tukeywindow for the pink noise fadeout
w =.3;
p.ptb.tw = tukeywin(p.stim.height,w)*tukeywin(p.stim.height,w)';
function [cross_positions]=FixationCrossPool
radius = 590; %in px (around 14 degrees (37 px/deg))
center = [800 600];
%setting up fixation cross pool vector of size
% totaltrials x 4 (face_1_x face_1_y face_2_x face_2_y)
cross_directions = round(rand(tchain*p.psi.presentation.numtrials_chain,2))*180;
dummy = cross_directions + rand(tchain*p.psi.presentation.numtrials_chain,2)*30-15;
cross_positions = [cosd(dummy(:,1))*radius+center(1) sind(dummy(:,1))*radius+center(2)...
cosd(dummy(:,2))*radius+center(1) sind(dummy(:,2))*radius+center(2)];
end
end
function SetParams
%
p.var.timings = zeros(1,10);
p.var.event_count = 0;
%%%%%%%%%%%%%%%%%%%%%%%%%%%
%relative path to stim and experiments
%Path Business.
[~, hostname] = system('hostname');
p.hostname = deblank(hostname);
if strcmp(p.hostname,'triostim1')
p.path.baselocation = 'C:\USER\onat\Experiments\';
elseif strcmp(p.hostname,'etpc')
p.path.baselocation = 'C:\Users\onat\Documents\Experiments\';
elseif strcmp(p.hostname,'isn3464a9d59588')
p.path.baselocation = 'C:\Users\user\Documents\Experiments\';
else
p.path.baselocation = 'C:\Users\onat\Documents\Experiments\';
end
p.path.experiment = [p.path.baselocation 'FearAmy\'];
p.path.stimfolder = 'stim';
p.path.stim = [p.path.experiment p.path.stimfolder '\'];
p.path.stim24 = [p.path.experiment p.path.stimfolder '\' '24bits' '\'];
%
p.subID = sprintf('sub%02d',subject);
p.path.edf = sprintf(['s%03dp%02d' ],subject,phase);
timestamp = datestr(now,30);
p.path.subject = [p.path.experiment 'data\tmp\' p.subID '_' timestamp '\'];
p.path.finalsubject = [p.path.experiment 'data\' p.subID '_' timestamp '\' ];
p.path.dropbox = 'C:\Users\onat\Dropbox\feargen_lea\EthnoMaster\DiscriminationTask\pilotedata\data';
%create folder hierarchy
mkdir(p.path.subject);
mkdir([p.path.subject 'stimulation']);
mkdir([p.path.subject 'pmf']);
p.path.path_param = sprintf([regexprep(p.path.subject,'\\','\\\') 'stimulation\\' 'p.mat']);
%%%%%%%%%%%%%%%%%%%%%%%%%%%
%get stim files
dummy = dir([p.path.stim '*.bmp']);
p.stim.files = [repmat([fileparts(p.path.stim) filesep],length(dummy),1) vertcat(dummy(:).name)];
p.stim.label = {dummy(:).name};
p.stim.tFile = size(p.stim.files,1);%number of different files
p.stim.tFace = p.stim.tFile;%number of faces.
%
display([mat2str(p.stim.tFile) ' found in the destination.']);
%set the background gray according to the background of the stimuli
for i = 1:p.stim.tFile;
im = imread(p.stim.files(i,:));
bg(i) = im(1,1,1);
end
%is all the captured bg values the same?
if sum(diff(bg))==0;
%if so take it as the bg color
p.stim.bg = double([bg(1) bg(1) bg(1)]);
else
fprintf('background luminance was not successfully detected...\n')
keyboard;
end
%
%font size and background gray level
p.text.fontname = 'Times New Roman';
p.text.fontsize = 18;%30;
p.text.fixsize = 60;
%rating business
p.rating.division = 2;%number of divisions for the rating slider
%
p.stim.white = [255 255 255];
%get the actual stim size (assumes all the same)
info = imfinfo(p.stim.files(1,:));
p.stim.width = info.Width;
p.stim.height = info.Height;
if strcmp(p.hostname,'triostim1')
p.keys.confirm = KbName('7');
p.keys.increase = KbName('8');
p.keys.decrease = KbName('6');
p.keys.space = KbName('space');
p.keys.esc = KbName('esc');
else
%All settings for laptop computer.
p.keys.confirm = KbName('up');
p.keys.increase = KbName('right');
p.keys.decrease = KbName('left');
p.keys.space = KbName('space');
p.keys.esc = KbName('esc');
end
%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%timing business
%these are the intervals of importance
%time2fixationcross->cross2onset->onset2shock->shock2offset
%these (duration.BLA) are average duration values:
% 1.5 0.5 0.5
p.duration.stim = 1.5;%s
p.duration.fix = .7;
p.duration.crossmoves = p.duration.stim./2;
p.duration.isi = 1.0;
if simulation_mode
p.duration.stim = .001;%s
p.duration.crossmoves = .001;
p.duration.fix = .001;
p.duration.isi = 0.001;
%p.duration.gray = .001;
end
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%create the randomized design
p.stim.cs_plus = csp_degree;%index of cs stimulus, this is the one paired to shock
%p.stim.cs_neg = csn;
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%Set up Constant Stimuli procedure
csn_shift = [0 180];
tchain = 2;
interval = 22.5;
maxdegree = 180;
maxtrials = 100;
addzeros = 18;
tsteps = (2*maxdegree./interval)+1;
if maxdegree == 180
tsteps = tsteps - 2;%spares out the CSN
end
rep = floor(maxtrials./(tsteps+1));%+1 so that zero can be doubled...
steps = [repmat(0:interval:180-interval,1,rep) repmat(0:interval:180-interval,1,rep)*-1 zeros(1,addzeros)];
steps(steps== 157.5) = 11.25;
steps(steps== -157.5) = -11.25;
for n = 1:tchain
x(:,n) = Shuffle(steps);
%fix_start(:,n) = seq_BalancedDist(x(:,n)',[1 2])';
fix_start(:,n) = ones(length(x(:,n)),1);
end
fprintf('This is the distribution of stimuli we will use:\n')
histi = histc(x,unique(x));
uniquex = unique(x);
for l = 1:length(unique(x))
fprintf('Level %g: %02d repetitions. \n',uniquex(l,1),histi(l,1))
end
fprintf('---------------------------\nTotal trials: %03d per chain.\n',sum(histi(:,1)))
WaitSecs(3);
%store everything in p
p.psi.presentation.x = x;
p.psi.presentation.interval = interval;
p.psi.presentation.numtrials_chain = length(x(:,1));
p.psi.presentation.tsteps = tsteps;
p.psi.presentation.rep = histi(:,1);
p.psi.presentation.uniquex = unique(x);
p.psi.presentation.fix_start = fix_start;
p.var.current_bg = p.stim.bg;%current background to be used.
%Save the stuff
save(p.path.path_param,'p');
%
end
function [rating]=RatingSlider(rect,tSection,position,up,down,confirm,labels,message1,message2,numbersOn)
%
%Detect the bounding boxes of the labels.
for nlab = 1:2
[nx, ny, bb(nlab,:)]=DrawFormattedText(p.ptb.w,labels{nlab}, 'center', 'center', p.stim.white,[],[],[],2);
Screen('FillRect',p.ptb.w,p.stim.bg);
end
bb = max(bb);
bb_size = bb(3)-bb(1);%vertical size of the bb.
%
DrawSkala;
ok = 1;
while ok == 1
[secs, keyCode, deltaSecs] = KbStrokeWait;
keyCode = find(keyCode);
if (keyCode == up) | (keyCode == down)
next = position + increment(keyCode);
if next < (tSection+1) & next > 0
position = position + increment(keyCode);
rating = tSection - position + 1;
end
DrawSkala;
elseif keyCode == confirm
WaitSecs(0.1);
ok = 0;
Screen('FillRect',p.ptb.w,p.stim.bg);
Screen('Flip',p.ptb.w);
end
end
function DrawSkala
rating = tSection - position + 1;
increment([up down]) = [1 -1];%delta
tick_x = linspace(rect(1),rect(1)+rect(3),tSection+1);%tick positions
tick_size = rect(3)./tSection;
ss = tick_size/5*0.9;%slider size.
%
for tick = 1:length(tick_x)%draw ticks
Screen('DrawLine', p.ptb.w, [255 0 0], tick_x(tick), rect(2), tick_x(tick), rect(2)+rect(4) , 3);
if tick <= tSection && numbersOn
Screen('TextSize', p.ptb.w,p.text.fontsize./2);
DrawFormattedText(p.ptb.w, mat2str(tick) , tick_x(tick)+ss/2, rect(2)+rect(4), p.stim.white);
Screen('TextSize', p.ptb.w,p.text.fontsize);
end
if tick == 1
DrawFormattedText(p.ptb.w, labels{1},tick_x(tick)-bb_size*1.6,rect(2), p.stim.white);
elseif tick == tSection+1
DrawFormattedText(p.ptb.w, labels{2},tick_x(tick)+bb_size*0.2,rect(2), p.stim.white);
end
end
%slider coordinates
slider = [ tick_x(position)+tick_size*0.1 rect(2) tick_x(position)+tick_size*0.9 rect(2)+rect(4)];
%draw the slider
Screen('FillRect',p.ptb.w, p.stim.white, round(slider));
Screen('TextSize', p.ptb.w,p.text.fontsize);
DrawFormattedText(p.ptb.w,message1, 'center', p.ptb.midpoint(2)*0.2, p.stim.white,[],[],[],2);
Screen('TextSize', p.ptb.w,p.text.fontsize./2);
DrawFormattedText(p.ptb.w,message2, 'center', p.ptb.midpoint(2)*0.4, p.stim.white,[],[],[],2);
Screen('TextSize', p.ptb.w,p.text.fontsize);
Screen('Flip',p.ptb.w);
end
end
function [shuffled,idx] = Shuffle(vector,N)
%takes first N from the SHUFFLED before outputting. This function
%could be used as a replacement for randsample
if nargin < 2;N = length(vector);end
[dummy, idx] = sort(rand([1 length(vector)]));
shuffled = vector(idx(1:N));
shuffled = shuffled(:);
end
function [a]=MinimumAngleQuartile(y,x)
%[a]=MinimumAngle(x,y);
%
%finds the minimum angle between two angles given in degrees, the answer is
%also in degrees. The clockwise distances from Y to X are considered as
%positive. Opposite angles are considered as positive 180.
x = deg2rad(x);
y = deg2rad(y);
a = atan2(sin(x-y), cos(x-y));
a = -round(((180/pi)*a)*4)/4;
if any(abs(a) == 180);
a(abs(a) == 180) = 180;
end
end
function ShowInstruction(nInstruct)
[text]=GetText(nInstruct);
ShowText(text);
%let subject read it and ask confirmation to proceed.
if nInstruct ~= 2
KbStrokeWait;
else
WaitSecs(2)
end
Screen('FillRect',p.ptb.w,p.stim.bg);
Screen('Flip',p.ptb.w);
end
function ShowText(text)
Screen('FillRect',p.ptb.w,p.stim.bg);
%DrawFormattedText(p.ptb.w, text, p.text.start_x, 'center',p.stim.white,[],[],[],2,[]);
DrawFormattedText(p.ptb.w, text, 'center', 'center',p.stim.white,[],[],[],2,[]);
Screen('Flip',p.ptb.w);
%show the messages at the experimenter screen
fprintf([repmat('=',1,50) '\n']);
fprintf('Subject''s monitor:\n');
fprintf(text);
fprintf([repmat('=',1,50) '\n']);
end
function [text]=GetText(nInstruct)
if nInstruct == 0%Eyetracking calibration
text = ['Um Ihre Augenbewegungen zu messen, \n' ...
'müssen wir jetzt den Eye-Tracker kalibrieren.\n' ...
'Dazu zeigen wir Ihnen einige Punkte auf dem Bildschirm, \n' ...
'bei denen Sie sich wie folgt verhalten:\n' ...
'Bitte fixieren Sie den Fixationspunkt und \n' ...
'bleiben Sie so lange darauf, wie er zu sehen ist.\n' ...
'Bitte drücken Sie jetzt den oberen Knopf, \n' ...
'um mit der Kalibrierung weiterzumachen.\n' ...
];
elseif nInstruct == 1
text = ['In diesem Experiment sehen Sie nacheinander jeweils zwei Gesichter.\n'...
'\n'...
'Danach werden Sie gefragt, ob die Gesichter unterschiedlich oder gleich waren.\n'...
'\n'...
'Benutzen Sie zum Antworten die Pfeiltasten (links, rechts) und die obere Taste zum Bestätigen.\n'...
'\n'...
'Sie erhalten in diesem Teil keine Schocks.\n'...
'Folgen Sie aber bitte auch hier streng den Fixationskreuzen!\n'...
'\n'...
'Sie werden alle ' num2str(breakpoint) ' Durchgänge eine Pause machen können,\nnach der der Eyetracker neu kalibriert wird.\n'...
'Das heißt, Sie können in der Pause den Kopf ruhig aus der Kopfstütze nehmen und sich entspannen. \n'...
'\n'...
'Wenn Sie noch Fragen haben, können Sie jetzt die Versuchsleiterin fragen.\n'...
'Wir können Sie jederzeit hören.\n'...
'\n'...
'Drücken Sie ansonsten die obere Taste,\n'...
' um das Experiment zu starten.\n' ...
];
elseif nInstruct == 3
text = ['Der Eyetracker ist nun kalibiert.\n'...
'\n'...
'Bitte verändern Sie Ihre Kopfposition nun nicht mehr.\n'...
'\n'...
'Zur Erinnerung: Im Experiment sehen Sie jeweils zwei Gesichter und geben anschließend an,\n'...
'\n'...
'ob die Gesichter gleich oder unterschiedlich waren.\n'...
'\n'...
'Benutzen Sie dazu die Pfeiltasten (links, rechts) und die obere Taste zum Bestätigen.\n'...
'\n'...
'Zusätzlich folgen Sie auch hier immer den Fixationskreuzen.\n'...
'\n'...
'Drücken Sie nun die obere Taste,\n'...
' um das Experiment zu starten!\n' ...
];
elseif nInstruct == 2%end
text = 'Experiment beendet!\n';
elseif nInstruct==4%break
text = [sprintf('Sie haben bereits %g von %g Durchgängen geschafft!\n',tt-1,p.psi.presentation.numtrials_chain*tchain)...
'Machen Sie eine kurze Pause, lehnen Sie sich gern einen Moment zurück\n'...
'und schließen Sie die Augen, um diese zu entspannen.\n'...
'Drücken Sie anschließend die mittlere Taste, um weiterzumachen.\n'];
end
end
function SetupLog
p.psi.log.globaltrial= NaN(tchain,length(x));
p.psi.log.signal = NaN(tchain,length(x));
p.psi.log.x = NaN(tchain,length(x));
p.psi.log.refface = NaN(tchain,length(x));
p.psi.log.testface = NaN(tchain,length(x));
p.psi.log.response = NaN(tchain,length(x));
% p.psi.log.xrounded = NaN(p.stim.tFace/tchain+1,p.psi.presentation.numtrials_chain,tchain);
p.psi.log.xrounded = NaN(length(unique(x)),max(p.psi.presentation.rep),tchain);
p.psi.log.sdt = NaN(tchain,length(x));
p.psi.log.trial_counter = zeros(length(unique(x)),tchain);
end
function SetLog
p.psi.log.globaltrial(current_chain,cc(current_chain))= tt;
p.psi.log.signal(current_chain,cc(current_chain)) = signal;
p.psi.log.x(current_chain,cc(current_chain)) = x(cc(current_chain),current_chain);
p.psi.log.refface(current_chain,cc(current_chain)) = ref_face;
p.psi.log.testface(current_chain,cc(current_chain)) = test_face;
p.psi.log.response(current_chain,cc(current_chain)) = response;
p.psi.log.sdt(current_chain,cc(current_chain)) = sdt;%1=hit 2=FA 3=miss 4=CR
end
% function PlotProcedure
% plotproc=figure(1);
% % title(sprintf('Threshold Estimation for subject %02d',tchain),'FontSize',14)
% for sub=1:tchain;
% subplot(2,2,sub)
% t = 1:length(p.log.x(sub));
% hold on;
% plot(t,abs(p.log.x(sub)),'bo-');
% errorbar(t,p.log.alpha(sub),p.log.seAlpha(sub),'r--')
% plot(t(p.log.response(sub) == 1),p.log.x(sub)(p.log.response(sub) == 1),'ko', ...
% 'MarkerFaceColor','k');
% plot(t(p.log.response(sub) == 0),p.log.x(sub)(p.log.response(sub) == 0),'ko', ...
% 'MarkerFaceColor','w');
%
% set(gca,'FontSize',12);
% axis([0 max(t)+1 0 max(p.log{sub}.alpha)+max(p.log{sub}.seAlpha)+20])
% xlabel('Trial');
% ylabel('xCurrent (Deg)');
%
% end
% annotation('textbox', [0 0.9 1 0.1], 'String',...
% (sprintf('Threshold Estimation for subject %02d',tchain)), ...
% 'EdgeColor', 'none', ...
% 'HorizontalAlignment', 'center','FontSize',14)
% legend('xCurrent','estimated Threshold','Response = 1','Response = 0','Location','northeast');
%
% % end
% function Plot_Fit
% plotfit=figure(2);
% for sub=1:tchain;
% subplot(2,2,sub)
% t = 1:length(p.log{sub}.x);
% hold on;
% plot(t,abs(p.log{sub}.x),'bo-');
% errorbar(t,p.log{1}.alpha,p.log{1}.seAlpha,'r--')
% plot(t(p.log{sub}.response == 1),p.log{sub}.x(p.log{sub}.response == 1),'ko', ...
% 'MarkerFaceColor','k');
% plot(t(p.log{sub}.response == 0),p.log{sub}.x(p.log{sub}.response == 0),'ko', ...
% 'MarkerFaceColor','w');
%
% set(gca,'FontSize',12);
% axis([0 max(t)+1 0 max(p.log{sub}.alpha)+max(p.log{sub}.seAlpha)+20])
% xlabel('Trial');
% ylabel('xCurrent (Deg)');
%
% end
function [t]=StartEyelinkRecording(trialID,phase,cc,tt,current_chain,isref,file,delta_ref,delta_csp,abs_FGangle,fixx,fixy)
t = [];
Eyelink('Message', 'TRIALID:%04d, PHASE:%04d, CHAIN:%04d, CHAINTRIAL:%04d, TTRIAL:%04d, ISREF:%04d, FILE:%04d, DELTAREF:%04d, DELTACSP:%04d, FGDEG:%04d, FXX:%04d, FXY:%04d',trialID, phase,...
current_chain, cc, tt, isref, file, delta_ref*100, delta_csp*100, abs_FGangle*100,fixx,fixy);
% an integration message so that an image can be loaded as
% overlay background when performing Data Viewer analysis.
WaitSecs(0.01);
Eyelink('Message', '!V IMGLOAD CENTER %s %d %d', p.stim.files(file,:), p.ptb.midpoint(1), p.ptb.midpoint(2));
% This supplies the title at the bottom of the eyetracker display
Eyelink('Command', 'record_status_message "Stim: %d, Phase: %d"',file, phase);
%
%Put the tracker offline and draw the stimuli.
Eyelink('Command', 'set_idle_mode');
WaitSecs(0.01);
% clear tracker display and draw box at center
Eyelink('Command', 'clear_screen %d', 0);
%draw the image on the screen
Eyelink('ImageTransfer',p.stim.files24(file,:),p.ptb.imrect(1),p.ptb.imrect(2),p.ptb.imrect(3),p.ptb.imrect(4),p.ptb.imrect(1),p.ptb.imrect(2));
Eyelink('Command', 'draw_cross %d %d %d',p.ptb.midpoint(1),p.ptb.CrossPositionET_y(1),p.ptb.fc_size);
Eyelink('Command', 'draw_cross %d %d %d',p.ptb.midpoint(1),p.ptb.CrossPositionET_y(2),p.ptb.fc_size);
%
%drift correction
%EyelinkDoDriftCorrection(el,crosspositionx,crosspositiony,0,0);
%start recording following mode transition and a short pause.
Eyelink('Command', 'set_idle_mode');
WaitSecs(0.01);
Eyelink('StartRecording');
t = GetSecs;
Log(t,8,NaN);
end
function [t] = StopEyelinkRecording
Eyelink('Message', 'Stim Offset');
Eyelink('Message', 'BLANK_SCREEN');
Eyelink('StopRecording');
t = GetSecs;
%this is the end of the trial scope.
WaitSecs(0.01);
Eyelink('Message', 'TRIAL_RESULT 0');
%
WaitSecs(0.01);
Eyelink('Command', 'set_idle_mode');
WaitSecs(0.01);
Eyelink('Command', 'clear_screen %d', 0);
Log(t,-8,NaN);
end
function InitEyeLink
%
if EyelinkInit(0)%use 0 to init normaly
fprintf('=================\nEyelink initialized correctly...\n')
else
fprintf('=================\nThere is problem in Eyelink initialization\n')
keyboard;
end
%
WaitSecs(0.5);
[~, vs] = Eyelink('GetTrackerVersion');
fprintf('=================\nRunning experiment on a ''%s'' tracker.\n', vs );
%load 24bits pictures for eyelink...
dummy = dir([p.path.stim24 '*.bmp']);
p.stim.files24 = [repmat([fileparts(p.path.stim24) filesep],length(dummy),1) vertcat(dummy(:).name)];
% for i=1:32
% filename = p.stim.files24(nStim,:);
% [im , ~, ~] = imread(filename);
% end
%
%
el = EyelinkInitDefaults(p.ptb.w);
%update the defaults of the eyelink tracker
el.backgroundcolour = p.stim.bg;
el.msgfontcolour = WhiteIndex(el.window);
el.imgtitlecolour = WhiteIndex(el.window);
el.targetbeep = 0;
el.calibrationtargetcolour = WhiteIndex(el.window);
el.calibrationtargetsize = 1.5;
el.calibrationtargetwidth = 0.5;
el.displayCalResults = 1;
el.eyeimgsize = 50;
el.waitformodereadytime = 25;%ms
el.msgfont = 'Times New Roman';
el.cal_target_beep = [0 0 0];%[1250 0.6 0.05];
%shut all sounds off
el.drift_correction_target_beep = [0 0 0];
el.calibration_failed_beep = [0 0 0];
el.calibration_success_beep = [0 0 0];
el.drift_correction_failed_beep = [0 0 0];
el.drift_correction_success_beep= [0 0 0];
EyelinkUpdateDefaults(el);
%PsychEyelinkDispatchCallback(el)
% open file.
res = Eyelink('Openfile', p.path.edf);
if res == -3
fprintf('File cannot be created!!!!\n');
return;
end
%
Eyelink('command', 'add_file_preamble_text ''Recorded by EyelinkToolbox FearCloud Experiment''');
Eyelink('command', 'screen_pixel_coords = %ld %ld %ld %ld', 0, 0, p.ptb.width-1, p.ptb.height-1);
Eyelink('message', 'DISPLAY_COORDS %ld %ld %ld %ld', 0, 0, p.ptb.width-1, p.ptb.height-1);
% set calibration type.
Eyelink('command', 'calibration_type = HV5');
Eyelink('command','auto_calibration_messages = YES');
Eyelink('command', 'select_parser_configuration = 1');
%what do we want to record
Eyelink('command', 'file_sample_data = LEFT,RIGHT,GAZE,HREF,AREA,GAZERES,STATUS,INPUT,HTARGET');
Eyelink('command', 'file_event_filter = LEFT,RIGHT,FIXATION,SACCADE,BLINK,MESSAGE,BUTTON,INPUT');
Eyelink('command', 'use_ellipse_fitter = no');
% set sample rate in camera setup screen
Eyelink('command', 'sample_rate = %d',1000);
end
function StopEyelink(filename)
try
fprintf('Trying to stop the Eyelink system with StopEyelink\n');
Eyelink('StopRecording');
WaitSecs(0.5);
Eyelink('Closefile');
display('receiving the EDF file...');
Eyelink('ReceiveFile',filename,[p.path.subject '\eye\'],1);
display('...finished!')
% Shutdown Eyelink:
Eyelink('Shutdown');
catch
display('StopEyeLink routine didn''t really run well');
end
end
function CalibrateEL
fprintf('=================\n=================\nEntering Eyelink Calibration\n')
p.var.ExpPhase = 0;
ShowInstruction(0);
EyelinkDoTrackerSetup(el);
%Returns 'messageString' text associated with result of last calibration
[~, messageString] = Eyelink('CalMessage');
Eyelink('Message','%s',messageString);%
WaitSecs(0.05);
fprintf('=================\n=================\nNow we are done with the calibration\n')
end
function Log(ptb_time, event_type, event_info)
%Phases:
%Pre-Experiment : 1
%Post-Experiment : 2
% %Instruction : 1
% %Baseline : 2
% %Conditioning : 3
% %Test : 4
% %Rating : 5
% %Calibration : 0
%
%event types are as follows:
%
%Scan Detection : 0 info: NaN;
%Cross Onset : 1 info: position
%Stimulus Onset/Offset: 2/-2 info: stim_id
%Cross Movement : 3 info: NaN;
%Stimulus Offset : -2 info: NaN;
%UCS Delivery : 4 info: NaN;
%Key Presses : 7 info: NaN;
%Tracker Onset/Offset : 8 info: NaN;
%
%Text on the screen : 5 info: Which Text?
%RatingScreen Onset : 6 info: NaN;
p.var.event_count = p.var.event_count + 1;
p.out.log(p.var.event_count,:) = [ptb_time event_type event_info phase];
% % p_out_log(p.out.event_counter,:)
%logstring([ 'Logged: ' mat2str(p_out_log(p.out.event_counter,:)) ' - Type: ' p.verbose.eventtype{abs(event_type)} ' - Phase: ' p.verbose.eventphase{CurrentExperimentalPhase}])
%for i = 1:3;subplot(3,1,i);plot(p_out_log(1:p.out.event_counter ,i),'o-');drawnow;end
%