fixColor = [1,1,1]
fixatnPtSize = 4
if exportImages: fixColor= [0,0,0]
fixatnTextureWidth = np.round(fixSizePix/4).astype(int)
fixatnNoiseTexture = np.round( np.random.rand(fixatnTextureWidth,fixatnTextureWidth) ,0 ) *2.0-1 #Can counterphase flicker noise texture to create salient flicker if you break fixation
fixatn= visual.PatchStim(myWin, tex=fixatnNoiseTexture, size=(fixSizePix,fixSizePix), units='pix', mask='circle', interpolate=False, autoLog=False)
fixatnCounterphase= visual.PatchStim(myWin, tex= -1*fixatnNoiseTexture, size=(fixSizePix,fixSizePix), units='pix', mask='circle', interpolate=False, autoLog=False) #reverse contrast
fixatnPoint= visual.Circle(myWin,fillColorSpace='rgb',fillColor=(1,1,1),radius=fixatnPtSize,pos=[0,0],units='pix',autoLog=autoLogging)
respPromptStim = visual.TextStim(myWin,pos=(0, -.8),colorSpace='rgb',color=(1,1,1),alignHoriz='center', alignVert='center',height=.1,units='norm',autoLog=autoLogging)
acceptTextStim = visual.TextStim(myWin,pos=(0, -.7),colorSpace='rgb',color=(1,1,1),alignHoriz='center', alignVert='center',height=.1,units='norm',autoLog=autoLogging)
acceptTextStim.setText('Hit ENTER to accept. Backspace to edit')
respStim = visual.TextStim(myWin,pos=(0,0),colorSpace='rgb',color=(1,1,0),alignHoriz='center', alignVert='center',height=.16,units='norm',autoLog=autoLogging)
clickSound, badKeySound = stringResponse.setupSoundsForResponse()
requireAcceptance = False
nextText = visual.TextStim(myWin,pos=(0, .1),colorSpace='rgb',color = (1,1,1),alignHoriz='center', alignVert='center',height=.1,units='norm',autoLog=autoLogging)
NextRemindCountText = visual.TextStim(myWin,pos=(0,.2),colorSpace='rgb',color= (1,1,1),alignHoriz='center', alignVert='center',height=.1,units='norm',autoLog=autoLogging)
screenshot= False; screenshotDone = False
instructions1 = visual.TextStim(myWin,pos=(0,0),colorSpace='rgb',color= (1,1,1),alignHoriz='center', alignVert='center',height=.5,units='deg',autoLog=autoLogging)
instructions2 = visual.TextStim(myWin,pos=(0,0),colorSpace='rgb',color= (1,1,1),alignHoriz='center', alignVert='center',height=.5,units='deg',autoLog=autoLogging)
instructionText1 = """
This experiment is made up of 200 trials. On each trial you will fixate your eyes on a central point on the screen. Then several rapid, randomly-ordered sequences of letters will appear at two or 8 locations on the screen. You must not move your eyes from the fixation point while these sequences are playing.
One of the letters will appear with a white ring around it. Your job is to tell us which of the letters appeared within the white ring. Again, you must not move your eyes from the fixation point in the centre of the screen while the letter streams are shown.
At the beginning of the trial, you will see a circle of hash marks. Some of these will be surrounded by white circles. The white circles mark the possible position of the letter you must report on that trial.
if showRefreshMisses:
fixSizePix = 32 #2.6 #make fixation bigger so flicker more conspicuous
else: fixSizePix = 32
fixColor = [1,1,1]
if exportImages: fixColor= [0,0,0]
fixatnNoiseTexture = np.round( np.random.rand(fixSizePix/4,fixSizePix/4) ,0 ) *2.0-1 #Can counterphase flicker noise texture to create salient flicker if you break fixation
fixation= visual.PatchStim(myWin, tex=fixatnNoiseTexture, size=(fixSizePix,fixSizePix), units='pix', mask='circle', interpolate=False, autoLog=False)
fixationBlank= visual.PatchStim(myWin, tex= -1*fixatnNoiseTexture, size=(fixSizePix,fixSizePix), units='pix', mask='circle', interpolate=False, autoLog=False) #reverse contrast
fixationPoint= visual.PatchStim(myWin,tex='none',colorSpace='rgb',color=(1,1,1),size=10,units='pix',autoLog=autoLogging)
respPromptStim = visual.TextStim(myWin,pos=(0, -.9),colorSpace='rgb',color=(1,1,1),alignHoriz='center', alignVert='center',height=.1,units='norm',autoLog=autoLogging)
acceptTextStim = visual.TextStim(myWin,pos=(0, -.8),colorSpace='rgb',color=(1,1,1),alignHoriz='center', alignVert='center',height=.1,units='norm',autoLog=autoLogging)
acceptTextStim.setText('Hit ENTER to accept. Backspace to edit')
respStim = visual.TextStim(myWin,pos=(0,0),colorSpace='rgb',color=(1,1,0),alignHoriz='center', alignVert='center',height=.16,units='norm',autoLog=autoLogging)
clickSound, badKeySound = stringResponse.setupSoundsForResponse()
requireAcceptance = False
nextText = visual.TextStim(myWin,pos=(0, .1),colorSpace='rgb',color = (1,1,1),alignHoriz='center', alignVert='center',height=.1,units='norm',autoLog=autoLogging)
NextRemindCountText = visual.TextStim(myWin,pos=(0,.2),colorSpace='rgb',color= (1,1,1),alignHoriz='center', alignVert='center',height=.1,units='norm',autoLog=autoLogging)
screenshot= False; screenshotDone = False
stimList = []
#SETTING THE CONDITIONS
possibleCue1positions = np.array([6,7,8,9,10]) # [4,10,16,22] used in Martini E2, group 2
possibleCue2lags = np.array([1,2,5,8,10])
for cue1pos in possibleCue1positions:
for cue2lag in possibleCue2lags:
stimList.append( {'cue1pos':cue1pos, 'cue2lag':cue2lag } )
#Martini E2 and also AB experiments used 400 trials total, with breaks between every 100 trials
trials = data.TrialHandler(stimList,trialsPerCondition) #constant stimuli method
