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alpha_code_ver2.py
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alpha_code_ver2.py
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# ~~ ALPHA REVISION ~~ changes to alpha study post our discussion with shaun
# 1/14/19 changed fixation cross to triangle/X for distractor present and absent cues
# 12/28/18 modified so that the event triggers will always be sent out w the behavioral file
# added HP/LP as conditions, didn't get through all if statements, also have to add the while loop so that likely_dis doesn't repeat, also have to fix CSV files to reflect this added condition
from __future__ import absolute_import, division
from psychopy import locale_setup, sound, gui, visual, core, data, event, logging, clock
from psychopy.constants import (NOT_STARTED, STARTED, PLAYING, PAUSED,
STOPPED, FINISHED, PRESSED, RELEASED, FOREVER)
import numpy as np # whole numpy lib is available, prepend 'np.'
from numpy import (sin, cos, tan, log, log10, pi, average,
sqrt, std, deg2rad, rad2deg, linspace, asarray)
from numpy.random import random, randint, normal, shuffle,uniform
import os # handy system and path functions
import sys # to get file system encoding
import serial #for sending triggers from this computer to biosemi computer
import csv
from psychopy import visual, core
expInfo = {'subject': '', 'session': '01','EEG? [y/n]':'n'}
expName='alpha_pilot'
dlg = gui.DlgFromDict(dictionary=expInfo, title=expName)
if dlg.OK == False:
core.quit() # user pressed cancel
expInfo['date'] = data.getDateStr() # add a simple timestamp
win = visual.Window([1680,1050],units='deg',fullscr=True,monitor='testMonitor',checkTiming=True)
no_stim=6
vis_deg=3.5
if expInfo['EEG? [y/n]']=='y':
EEGflag=1
else:
EEGflag=0
if EEGflag:
port=serial.Serial('COM4',baudrate=115200)
port.close()
startSaveflag=bytes([254])
stopSaveflag=bytes([255])
#cue_onset_trig=bytes([101])
HHP_trig=bytes([111]) # high prob target, high prob distractor, and dis present cue
HLP_trig=bytes([113])
HHA_trig=bytes([115])
HLA_trig=bytes([117])
LLP_trig=bytes([119])
LLA_trig=bytes([121])
LHP_trig=bytes([123])
LHA_trig=bytes([125])
tarVdisVH_trig=bytes([127]) # valid target cue, valid distractor cue, and high prob loc condition (though dis may not have been in it)
tarVdisVL_trig=bytes([129])
tarIdisVH_trig=bytes([131])
tarIdisVL_trig=bytes([103])
tarVdisIH_trig=bytes([133])
tarVdisIL_trig=bytes([135])
tarIdisIH_trig=bytes([137])
tarIdisIL_trig=bytes([139])
subNonRespTrig=bytes([105])
subRespTrig=bytes([107])
ITItrig=bytes([109])
endofBlocktrig=bytes([133])
trigDict={'startSaveflag':startSaveflag,'stopSaveflag':stopSaveflag,'HHP_trig':HHP_trig,'HLP_trig':HLP_trig,'HHA_trig':HHA_trig,'HLA_trig':HLA_trig,
'LLP_trig':LLP_trig,'LLA_trig':LLA_trig,'LHP_trig':LHP_trig,'LHA_trig':LHA_trig,'tarVdisVH_trig':tarVdisVH_trig,'tarVdisVL_trig':tarVdisVL_trig,
'tarIdisVH_trig':tarIdisVH_trig,'tarIdisVL_trig':tarIdisVL_trig,'tarVdisIH_trig':tarVdisIH_trig,'tarVdisIL_trig':tarVdisIL_trig,'tarIdisIH_trig':tarIdisIH_trig,
'tarIdisIL_trig':tarIdisIL_trig,'subNonRespTrig':subNonRespTrig,'subRespTrig':subRespTrig,'ITItrig':ITItrig,'endofBlocktrig':endofBlocktrig}
redT=visual.ImageStim(win, image='Z:/alpha-study-stimpres-repository/stim/T2.png') #(win, image='/Volumes/rdss_kahwang/alpha-study-stimpres-repository/stim/T2.png')
#redI=visual.ImageStim(win, image='/Volumes/rdss_kahwang/alpha-study-stimpres-repository/Alpha-Study/stim/I3.png') #EEG stimulus presentation Dell
yellowT=visual.ImageStim(win, image='Z:/alpha-study-stimpres-repository/stim/YellowT.png')#
redLpath='Z:/alpha-study-stimpres-repository/stim/'#'/Volumes/rdss_kahwang/alpha-study-stimpres-repository/stim/'#win, image='/Volumes/rdss_kahwang/alpha-study-stimpres-repository/stim/YellowT.png')#
if EEGflag:
filename='Z:/AlphaStudy_Data/eegData/eeg_behavior_data'+u'/%s_%s_%s_%s' % (expInfo['subject'], expName, expInfo['session'],expInfo['date'])
else:
filename='Z:/AlphaStudy_Data/behavData'+u'/%s_%s_%s_%s' % (expInfo['subject'], expName, expInfo['session'],expInfo['date']) #for dells
#filename='/Volumes/rdss_kahwang/AlphaStudy_Data/behavData'+u'/%s_%s_%s_%s' % (expInfo['subject'], expName, expInfo['session'],expInfo['date'])
refresh_rate=50
redL=[visual.ImageStim(win, image=redLpath+'RedL copy 0.png'),visual.ImageStim(win, image=redLpath+'RedL copy 1.png'),visual.ImageStim(win, image=redLpath+'RedL copy 2.png'),
visual.ImageStim(win, image=redLpath+'RedL copy 3.png'),visual.ImageStim(win, image=redLpath+'RedL copy 4.png'),visual.ImageStim(win, image=redLpath+'RedL copy 5.png'),
visual.ImageStim(win, image=redLpath+'RedL copy 6.png'),visual.ImageStim(win, image=redLpath+'RedL copy 7.png'),visual.ImageStim(win, image=redLpath+'RedL copy 8.png')]
distractor_stim=yellowT
target_stim=redT
other_stim=redL
num_trials=50 #has to be even number
num_reps=2
#trialNum':(n),'tarVorI':tarVorI,'disCue_type':disCue_type,'dPOA':dPOA,'disVorI':disVorI,'distractor_loc':loc,'corrResp':corrKey
#blocks.update({'blockInfo_%i'%(block):{'block':block,'tarCue':thisBlock[0],'disCue':thisBlock[1],'highProbLoc?':disProb,'likely_dis':saveDis,'likelyDisHemisphere':disHemi,'trialsData':trialDataList}})
def pracCond(thisBlock,n_practrials=10,demo=False):
pracDataList=[]
disCueprac=[]
for r in range(int(n_practrials/2)):
disCueprac.append('disP')
disCueprac.append('disA')
for n in range(n_practrials):
ITI=2.0
# info for this block --for subject ######################################
if n==0:
for circs in stimuli:
circs.opacity = 0
#fixation.Autodraw=False
if demo:
info_msg3=visual.TextStim(win,pos=[0,0],units='norm',text='Begin demonstration')
info_msg3.draw()
else:
info_msg3=visual.TextStim(win,pos=[0,0],units='norm',text='Begin practice block')
info_msg3.draw()
win.update()
core.wait(2)
fixation.text='+'
fixation.draw()
win.flip()
core.wait(3)# pre-block pause
for circs in stimuli:
circs.opacity=1
circs.setLineColor([0,0,0])
cue_target_1=np.random.choice(right_stim,1)[0]
cue_target_2=np.random.choice(left_stim,1)[0]
cue_target_1.setLineColor([0,0,255],colorSpace='rgb255')
cue_target_2.setLineColor([0,0,255], colorSpace='rgb255')
#print(disCue_scramble[n])
fixation.autoDraw=False
fixation.text=''
if disCueprac[n]=='disP':
fixation_DP.autoDraw=True
elif disCueprac[n]=='disA':
fixation_DA.autoDraw=True #yellow
#print(disCueprac)
wait_here(.5) # ############## Cue presentation ###################
fixation_DA.autoDraw=False
fixation_DP.autoDraw=False
fixation.color=[1,1,1]
fixation.text='+'
fixation.autoDraw=True
for circs in stimuli:
circs.setLineColor([0,0,0],colorSpace='rgb')
wait_here(1.5) # ############ delay one/SOA period ###############
target_loc1 = list(right_stim).index(cue_target_1) #where are the two cued circles?
stim_minus_one = np.delete(right_stim, target_loc1)
target_loc2 = list(left_stim).index(cue_target_2)
stim_minus_two = np.delete(left_stim,target_loc2) #get a list of stimuli that don't include cued circles
stim_minus_both=list(stim_minus_one)+list(stim_minus_two)
#stim_minus_both_dis=np.delete(stim_minus_both[:],stim_minus_both.index(likely_dis))
if thisBlock[0]=='tarH':
which_circle=np.random.choice([cue_target_1,cue_target_2],1,p=[0.5,0.5])[0] #putting target in one of the circles
stim_minus_both_tar=stim_minus_both #the target is in the 2 cue circles so these lists are equivalent
if thisBlock[1]=='disH': # if the distractor cue is valid 100%
#if disCue_scramble[n]=='disA'
if disCueprac[n]=='disP': # or the distractor cue was distractor present, then do display distractors
#if thisBlock[2]=='HP':
if thisBlock[2]=='LP': #if the distractor location can be randomized then put it anywhere but where we just put the target
distractor_stim.pos=np.random.choice(stim_minus_both_tar,1)[0].pos
HPorLP='random'
if disCueprac[n]=='disP':
distractor_stim.ori= (np.random.choice([0,90,180,270],1))[0] #choose the orientation of the distractor
distractor_stim.opacity=1
distractor_stim.draw()
target_stim.pos=which_circle.pos
target_stim.ori=5
while target_stim.ori==5 or (target_stim.ori == distractor_stim.ori) or (target_stim.ori+180 == distractor_stim.ori) or (target_stim.ori-180==distractor_stim.ori):
target_stim.ori= (np.random.choice([0,90,180,270],1))[0] #choose the orientation of the target
target_stim.opacity=1
target_stim.draw()
if target_stim.ori==0:
corrKey='up'
elif target_stim.ori==90:
corrKey='right'
elif target_stim.ori==180:
corrKey='down'
elif target_stim.ori==270:
corrKey='left'
for s in range(len(stimuli)):
circs=stimuli[s]
if not (((circs.pos[0]==target_stim.pos[0]) and (circs.pos[1]==target_stim.pos[1])) or (disCueprac[n]=='disP' and (circs.pos[0]==distractor_stim.pos[0]) and (circs.pos[1]==distractor_stim.pos[1]))):
#if the circle is not a target or distractor then put other_stim in it
#circs.setLineColor([255,255,0],colorSpace='rgb255')
circs.setLineColor([1,-1,-1]) #if the circle is a non singleton distractor make it red
circs.setFillColor(None)
redL[s].ori=(np.random.choice([0,90,180,270],1))[0]
redL[s].pos=circs.pos
redL[s].opacity=1
redL[s].draw()
elif (circs.pos[0]==target_stim.pos[0] and circs.pos[1]==target_stim.pos[1]):
circs.setLineColor([1,-1,-1]) #if the circle is a target we want it to be red, too
circs.setFillColor(None)
else: #if the circle is a chosen distractor, make it yellow
circs.lineColorSpace='rgb255'
circs.setLineColor([255,255,0])
circs.setFillColor(None)
win.update()
clock=core.Clock()
if not demo:
subResp= event.waitKeys(1.5,keyList=['up','down','left','right'],timeStamped=clock)
if subResp==None:
trial_corr=0
else:
if subResp[0][0]==corrKey:
trial_corr=1
else:
trial_corr=0
else:
core.wait(1.5)
fixation.draw()
for circs in stimuli:
circs.lineColorSpace='rgb'
circs.setLineColor([0,0,0])
circs.setFillColor([0,0,0])
for letter in other_stim:
letter.opacity=0
distractor_stim.opacity=0
target_stim.opacity=0
if not demo:
Thistrial_data= trial_corr
pracDataList.append(Thistrial_data)
win.flip()
core.wait(ITI)
for circs in stimuli:
circs.opacity=0
fixation.autoDraw=False
if not demo:
#fixation.color=([0,0,0])
acc_feedback=visual.TextStim(win, pos=[0,.5],units='norm',text='Your accuracy for the practice round was %i percent. Practice again? (y/n)' %(100*(np.sum(pracDataList)/n_practrials)))
acc_feedback.draw()
win.update()
cont=event.waitKeys(keyList=['y','n'])
fixation.color=([1,1,1])
if cont[0]=='y':
pracCond(thisBlock,n_practrials)
def wait_here(t):
interval=1/refresh_rate
num_frames=int(t/interval)
for n in range(num_frames): #change back to num_frames
fixation.draw()
win.flip()
def make_ITI():
if not EEGflag:
ITI=np.random.choice([1.4,1.5,1.6,1.7,1.8,1.9,2.0,2.1,2.2,2.3,2.4,2.5,2.6],1)[0] #averages to around 2 second?
else:
ITI=np.random.choice([3.4,3.5,3.6,3.7,3.8,3.9,4,4.1,4.2,4.3,4.4,4.5,4.6],1)[0] # averages to around 4 seconds?
return ITI
def make_csv(filename,expDone=False):
with open(filename+'.csv', mode='w') as csv_file:
fieldnames=['block','tarCue_validity','disCue_validity','highProbLoc?','highProbLocation','likelyDisHemisphere','trialNum','tarVorI','disCue','disPresentOrAbsent','disVorI','distractor_loc','corrResp','subResp','trialCorr?','RT','stim_loc(T,D)','ITI','triggers']
#fieldnames is simply asserting the categories at the top of the CSV
writer=csv.DictWriter(csv_file,fieldnames=fieldnames)
writer.writeheader()
print('\n\n\n')
for n in range(len(blocks.keys())): # loop through each block
blocks_data = list(blocks.keys())[n]
ThisBlock=blocks[blocks_data] #grabbing the block info for this block
#print(ThisBlock)
#print('\n')
for k in range(len(ThisBlock['trialsData'])): #this should be the # of trials
ThisTrial=ThisBlock['trialsData'][k] #grabbing the trial info out of data for this trial
#print(ThisTrial)
if ThisBlock['tarCue']=='tarH':
tvalid='100%'
else:
tvalid='50%'
if ThisBlock['disCue']=='disH':
dvalid='100%'
else:
dvalid='50%'
writer.writerow({'block':ThisBlock['block'],'tarCue_validity':tvalid,'disCue_validity':dvalid, 'highProbLoc?':ThisBlock['highProbLoc?'], 'highProbLocation':ThisBlock['likely_dis'],
'likelyDisHemisphere':ThisBlock['likelyDisHemisphere'],'trialNum':ThisTrial['trialNum'],'tarVorI':ThisTrial['tarVorI'],
'disCue':ThisTrial['disCue_type'],'disPresentOrAbsent':ThisTrial['dPOA'],'disVorI':ThisTrial['disVorI'],'distractor_loc':ThisTrial['distractor_loc'],
'corrResp':ThisTrial['corrResp'],'subResp':ThisTrial['subjectResp'],'trialCorr?':ThisTrial['trialCorr?'],
'RT':ThisTrial['RT'],'stim_loc(T,D)':ThisTrial['stim_loc'],
'ITI':ThisTrial['ITI'],'triggers':''})
if EEGflag and expDone==True:
print(trigDict)
for key in trigDict.keys():
writer.writerow({'block':'','tarCue_validity':'','disCue_validity':'', 'highProbLoc?':'', 'highProbLocation':'',
'likelyDisHemisphere':'','trialNum':'','tarVorI':'',
'disCue':'','disPresentOrAbsent':'','disVorI':'','distractor_loc':'',
'corrResp':'','subResp':'','trialCorr?':'',
'RT':'','stim_loc(T,D)':'',
'ITI':'','triggers':(key,trigDict[key])})
if no_stim==6:
one_oclock = visual.Circle(
win=win, name='1',
size=(0.09, 0.15),
ori=0, pos=((vis_deg/2), (sqrt(3)/2)*vis_deg),
lineWidth=7, lineColor=None, lineColorSpace='rgb',
fillColor=None, fillColorSpace='rgb',
opacity=1, depth=-1.0, interpolate=True)
one_oclock.setAutoDraw(True)
three_oclock = visual.Circle(
win=win, name='3',
size=(0.09, 0.15),
ori=0, pos=(vis_deg, 0),
lineWidth=7, lineColor=None, lineColorSpace='rgb',
fillColor=None, fillColorSpace='rgb',
opacity=1, depth=-3.0, interpolate=True)
three_oclock.setAutoDraw(True)
five_oclock = visual.Circle(
win=win, name='5',
size=(0.09, 0.15),
ori=0, pos=((vis_deg/2), -((sqrt(3)/2)*vis_deg)),
lineWidth=7, lineColor=None, lineColorSpace='rgb',
fillColor=None, fillColorSpace='rgb',
opacity=1, depth=-5.0, interpolate=True)
five_oclock.setAutoDraw(True)
seven_oclock = visual.Circle(
win=win, name='7',
size=(0.09, 0.15),
ori=0, pos=(-(vis_deg/2), -((sqrt(3)/2)*vis_deg)),
lineWidth=7, lineColor=None, lineColorSpace='rgb',
fillColor=None, fillColorSpace='rgb',
opacity=1, depth=-5.0, interpolate=True)
seven_oclock.setAutoDraw(True)
nine_oclock = visual.Circle(
win=win, name='9',
size=(0.09, 0.15),
ori=0, pos=(-vis_deg, 0),
lineWidth=7, lineColor=None, lineColorSpace='rgb',
fillColor=None, fillColorSpace='rgb',
opacity=1, depth=-3.0, interpolate=True)
nine_oclock.setAutoDraw(True)
eleven_oclock = visual.Circle(
win=win, name='11',
size=(0.09, 0.15),
ori=0, pos=(-(vis_deg/2), ((sqrt(3)/2)*vis_deg)),
lineWidth=7, lineColor=None, lineColorSpace='rgb',
fillColor=None, fillColorSpace='rgb',
opacity=1, depth=-1.0, interpolate=True)
eleven_oclock.setAutoDraw(True)
stimuli=[one_oclock,three_oclock,five_oclock,seven_oclock,nine_oclock,eleven_oclock]
right_stim=stimuli[:3]
left_stim=stimuli[3:]
for stim in stimuli:
stim.size=(1.5,1.5)
stim.lineWidth=5
distractor_stim.size=([1.25,1.25])
target_stim.size=([1.25,1.25])
distractor_stim.opacity=0
target_stim.opacity=0
distractor_stim.autoDraw=True
target_stim.autoDraw=True
for stim in other_stim:
stim.autoDraw=True
stim.opacity=0
stim.size=([1.25,1.25])
fixation = visual.TextStim(win, text='',units='norm', color=(1,1,1))
fixation.size=0.6
fixation_DP = visual.TextStim(win, text='x',units='norm', color=[-1,1,-1]) # distractor present cue
fixation_DP.size=0.6
fixation_DA = visual.Polygon(win, edges=3, lineWidth=7, fillColor=None, units='norm', lineColor=[-1,1,-1]) # distractor absent
fixation_DA.size=(0.05,.09)
intro_msg= visual.TextStim(win, pos=[0, .5],units='norm', text='Welcome to the experiment!')
intro_msg2= visual.TextStim(win, pos=[0, 0], units='norm',text='You will see a series of circles that will indicate the location of the RED target "T"')
intro_msg3=visual.TextStim(win, pos=[0,-0.5],units='norm',text='Press any key to continue')
intro_msg.draw()
intro_msg2.draw()
intro_msg3.draw()
win.flip()
event.waitKeys()
intro_mesg4= visual.TextStim(win,pos=[0,.5],units='norm',text='Please remain focused on the cross in the middle of the screen whenever there are NOT circles on the screen.')
intro_mesg5=visual.TextStim(win,pos=[0,0], units='norm',text='Respond to the orientation of the RED capital "T" using the arrow keys on the keyboard')
intro_mesg6=visual.TextStim(win,pos=[0,-0.5],units='norm',text='You will also sometimes see a YELLOW T. Do NOT respond to the orientation of the YELLOW T. Press any key to continue.')
intro_mesg4.draw()
intro_mesg5.draw()
intro_mesg6.draw()
win.flip()
event.waitKeys()
win.flip()
targetlist=['tarH','tarL']
distractorlist=['disH','disL']
HPLPlist=['HP','LP'] # high prob distractor loc OR randomized prob
stimList=[]
for t in targetlist:
for d in distractorlist:
for p in HPLPlist:
for n in range(num_reps):
stimList.append([t,d,p])
order=np.random.choice(len(stimList),len(stimList),replace=False) #this is going to be the order that we ultimately call ea of the conditions in
order=list(order)
stimList_scramble=np.zeros((len(stimList)))
stimList_scramble=list(stimList_scramble)
for ind in order:
stimList_scramble[ind]=stimList[order.index(ind)]
print(stimList_scramble)
blocks={} # where we will save out the data
likely_dis= np.random.choice(stimuli,1)[0]
pracBlock=['tarH','disH','LP']
pracCond(thisBlock=pracBlock,demo=True)
pracCond(thisBlock=pracBlock,demo=False)
for block in range(len(stimList)):
trialDataList=[]
fixation.color=([0,0,0])
if block !=0:
info_msg2=visual.TextStim(win, pos=[0,.5], units='norm',text='Press any key to continue to the next block')
else:
info_msg2=visual.TextStim(win, pos=[0,.5], units='norm',text='Press any key to begin experiment')
info_msg2.draw()
win.update()
key1=event.waitKeys()
fixation.color=([1,1,1])
fixation.text='+'
fixation.draw()
win.flip()
core.wait(3)# pre-block pause
thisBlock=stimList_scramble[block]
if thisBlock[2]=='HP':
prev_dis=likely_dis
if prev_dis in left_stim:
prev_hemi='L'
else:
prev_hemi='R'
likely_hemi=prev_hemi
while (prev_dis==likely_dis) or (likely_hemi==prev_hemi):
likely_dis= np.random.choice(stimuli,1)[0]
if likely_dis in left_stim:
likely_hemi='L'
else:
likely_hemi='R'
print(likely_dis.name)
disCue=[]
for r in range(int(num_trials/2)):
disCue.append('disP')
disCue.append('disA')
#print(disCue)
print(thisBlock)
disCue_scramble=np.random.choice(disCue,num_trials,replace=False)
#print(disCue_scramble)
for n in range(num_trials):
ITI=make_ITI()
# if n==0 and block==0:
# for circs in stimuli:
# circs.opacity = 0
# #pracCond(thisBlock=thisBlock,demo=True)
# #pracCond(thisBlock=thisBlock,demo=False)
# fixation.autoDraw=False
# fixation.opacity=0
for circs in stimuli:
circs.opacity=1
circs.setLineColor([0,0,0])
circs.setFillColor([0,0,0])
cue_target_1=likely_dis
cue_target_2=likely_dis #only for the sake of initiating the while loop
while cue_target_1==likely_dis or cue_target_2==likely_dis: #making sure that the target cues are not in the likely dis location
cue_target_1=np.random.choice(right_stim,1)[0]
cue_target_2=np.random.choice(left_stim,1)[0]
cue_target_1.setLineColor([0,0,255],colorSpace='rgb255')
cue_target_2.setLineColor([0,0,255], colorSpace='rgb255')
#print(disCue_scramble[n])
fixation.text=''
if disCue_scramble[n]=='disP':
fixation_DP.autoDraw=True #green
elif disCue_scramble[n]=='disA':
fixation_DA.autoDraw=True #yellow
if EEGflag:
if thisBlock[0]=='tarH':
if thisBlock[1]=='disL':
if disCue_scramble[n]=='disA':
thistrialFlag=HLA_trig
elif disCue_scramble[n]=='disP':
thistrialFlag=HLP_trig
elif thisBlock[1]=='disH':
if disCue_scramble[n]=='disA':
thistrialFlag=HHA_trig
elif disCue_scramble[n]=='disP':
thistrialFlag=HHP_trig
elif thisBlock[0]=='tarL':
if thisBlock[1]=='disL':
if disCue_scramble[n]=='disA':
thistrialFlag=LLA_trig
elif disCue_scramble[n]=='disP':
thistrialFlag=LLP_trig
elif thisBlock[1]=='disH':
if disCue_scramble[n]=='disA':
thistrialFlag=LHA_trig
elif disCue_scramble[n]=='disP':
thistrialFlag=LHP_trig
if EEGflag:
win.callOnFlip(port.write,thistrialFlag)
wait_here(.5) # ############## Cue presentation ###################
fixation.text='+'
fixation_DA.autoDraw=False
fixation_DP.autoDraw=False
fixation.color=[1,1,1]
fixation.autoDraw=True
for circs in stimuli:
circs.setLineColor([0,0,0],colorSpace='rgb')
wait_here(1.5) # ############ delay one/SOA period ###############
target_loc1 = list(right_stim).index(cue_target_1) #where are the two cued circles?
stim_minus_one = np.delete(right_stim, target_loc1)
target_loc2 = list(left_stim).index(cue_target_2)
stim_minus_two = np.delete(left_stim,target_loc2) #get a list of stimuli that don't include cued circles
stim_minus_both=list(stim_minus_one)+list(stim_minus_two)
stim_minus_both_dis=np.delete(stim_minus_both[:],stim_minus_both.index(likely_dis))
if thisBlock[0]=='tarH':
which_circle=np.random.choice([cue_target_1,cue_target_2],1,p=[0.5,0.5])[0] #putting target in one of the circles
tarVorI='V'
stim_minus_both_tar=stim_minus_both #the target is in the 2 cue circles so these lists are equivalent
stim_minus_both_dis_tar=stim_minus_both_dis
elif thisBlock[0]=='tarL': # the target cue in tarL cond is only 50% valid
if (np.random.choice([True,False],1,p=[.5,.5])): # if true, put the target in the target cue loc
which_circle=np.random.choice([cue_target_1,cue_target_2],1,p=[0.5,0.5])[0] #putting target in one of the circles
tarVorI='V'
stim_minus_both_dis_tar=stim_minus_both_dis # in this case, these lists are equivalent because stim_minus_both already extracts the target cued locations (where the target is being placed)
stim_minus_both_tar=stim_minus_both
else:
which_circle=np.random.choice(stim_minus_both_dis,1)[0]
tarVorI='I'
stim_minus_both_dis_tar=np.delete(stim_minus_both_dis[:],list(stim_minus_both_dis).index(which_circle)) # im sorry this name is ridiculous
stim_minus_both_tar=np.delete(stim_minus_both[:],stim_minus_both.index(which_circle))
# ####################################### below this line is the only place that thisblock[2] is used ################################
if thisBlock[1]=='disH': # if the distractor cue is valid 100%
disVorI='V'
if disCue_scramble[n]=='disA': # and the distractor cue was distractor absent, then don't display any distractors
HPorLP='noDis'
elif disCue_scramble[n]=='disP': # or the distractor cue was distractor present, then do display distractors
if thisBlock[2]=='HP':
put_dis=np.random.choice(['hp','rp'],1,p=[.8,.2])[0]
if put_dis=='hp':
distractor_stim.pos=likely_dis.pos
HPorLP='hp'
else:
distractor_stim.pos=np.random.choice(stim_minus_both_dis_tar,1)[0].pos # but make sure the dis doesn't end up in the tar cue loc, likely_dis loc, or target stim loc
HPorLP='lp'
elif thisBlock[2]=='LP': #if the distractor location can be randomized then put it anywhere but where we just put the target
distractor_stim.pos=np.random.choice(stim_minus_both_tar,1)[0].pos
HPorLP='random'
elif thisBlock[1]=='disL': # if the distractor cue is NOT 100% valid
if (np.random.choice([True,False],1)): # but the cue is Valid this trial
disVorI='V'
if disCue_scramble[n]=='disA': # and the cue happened to be a distractor Absent cue
HPorLP='noDis' # then display nothing
elif disCue_scramble[n]=='disP': #or if the cue is a dis present cue
if thisBlock[2]=='HP':
put_dis=np.random.choice(['hp','rp'],1,p=[.8,.2])[0] # then display cues
if put_dis=='hp':
distractor_stim.pos=likely_dis.pos
HPorLP='hp'
else:
distractor_stim.pos=np.random.choice(stim_minus_both_dis_tar,1)[0].pos # but make sure the dis doesn't end up in the tar cue loc, likely_dis loc, or target stim loc
HPorLP='lp'
elif thisBlock[2]=='LP':
distractor_stim.pos=np.random.choice(stim_minus_both_tar,1)[0].pos
HPorLP='random'
else: #if the cue is invalid this trial
disVorI='I'
if disCue_scramble[n]=='disP': # and the cue happened to be a distractor pres
HPorLP='noDis' # then display distractors
elif disCue_scramble[n]=='disA': #or if the cue is a dis absent
if thisBlock[2]=='HP':
put_dis=np.random.choice(['hp','rp'],1,p=[.8,.2])[0] # then dont display cues
if put_dis=='hp':
distractor_stim.pos=likely_dis.pos
HPorLP='hp'
else:
distractor_stim.pos=np.random.choice(stim_minus_both_dis_tar,1)[0].pos # but make sure the dis doesn't end up in the tar cue loc, likely_dis loc, or target stim loc
HPorLP='lp'
elif thisBlock[2]=='LP':
distractor_stim.pos=np.random.choice(stim_minus_both_tar,1)[0].pos
HPorLP='random'
if HPorLP != 'noDis':
#distractor_stim
distractor_stim.ori= (np.random.choice([0,90,180,270],1))[0] #choose the orientation of the distractor
distractor_stim.opacity=1
distractor_stim.draw()
target_stim.pos=which_circle.pos
target_stim.ori=5
while target_stim.ori==5 or (target_stim.ori == distractor_stim.ori) or (target_stim.ori+180 == distractor_stim.ori) or (target_stim.ori-180==distractor_stim.ori):
target_stim.ori= (np.random.choice([0,90,180,270],1))[0] #choose the orientation of the target
target_stim.opacity=10
target_stim.draw()
if target_stim.ori==0:
corrKey='up'
elif target_stim.ori==90:
corrKey='right'
elif target_stim.ori==180:
corrKey='down'
elif target_stim.ori==270:
corrKey='left'
#distractor_stim.ori= (np.random.choice([0,90,180,270],1))[0] #choose the orientation of the distractor
for s in range(len(stimuli)):
circs=stimuli[s]
if not (((circs.pos[0]==target_stim.pos[0]) and (circs.pos[1]==target_stim.pos[1])) or (HPorLP !='noDis'and (circs.pos[0]==distractor_stim.pos[0]) and (circs.pos[1]==distractor_stim.pos[1]))):
#if the circle is not a target or distractor then put other_stim in it
#circs.setLineColor([255,255,0],colorSpace='rgb255')
circs.setLineColor([1,-1,-1]) #if the circle is a non singleton distractor make it red
circs.setFillColor(None)
redL[s].ori=(np.random.choice([0,90,180,270],1))[0]
redL[s].pos=circs.pos
redL[s].opacity=1
redL[s].draw()
elif (circs.pos[0]==target_stim.pos[0] and circs.pos[1]==target_stim.pos[1]):
circs.setLineColor([1,-1,-1]) #if the circle is a target we want it to be red, too
circs.setFillColor(None)
else: #if the circle is a chosen distractor, make it yellow
circs.lineColorSpace='rgb255'
circs.setLineColor([255,255,0])
circs.setFillColor(None)
# for circs in stimuli:
# if (circs.pos[0]==target_stim.pos[0] and circs.pos[1]==target_stim.pos[1]):
# circs.setLineColor([1,-1,-1])
# circs.setFillColor(None)
#
if EEGflag:
if tarVorI=='V':
if disVorI=='V':
if thisBlock[2]=='HP':
probetrig=tarVdisVH_trig
else:
probetrig=tarVdisVL_trig
elif disVorI=='I':
if thisBlock[2]=='HP':
probetrig=tarVdisIH_trig
else:
probetrig=tarVdisIL_trig
elif tarVorI=='I':
if disVorI=='V':
if thisBlock[2]=='HP':
probetrig=tarIdisVH_trig
else:
probetrig=tarIdisVL_trig
elif disVorI=='I':
if thisBlock[2]=='HP':
probetrig=tarIdisIH_trig
else:
probetrig=tarIdisIL_trig
if EEGflag:
# port.flush()
win.callOnFlip(port.write,probetrig)
# if EEGflag:
# port.open()
#wait_here(2) # ############### probe presentation ####################
event.clearEvents()
max_win_count=int(2/(1/refresh_rate))
win_count=0
subResp=None
clock=core.Clock()
while not subResp:
win.flip()
subResp=event.getKeys(keyList=['up','down','left','right'], timeStamped=clock)
win_count=win_count+1
if win_count==max_win_count:
break
if not subResp:
if EEGflag:
port.write(subNonRespTrig)
trial_corr=np.nan
RT=np.nan
key='None'
else:
if EEGflag:
port.write(subRespTrig)
if subResp[0][0]==corrKey:
trial_corr=1
else:
trial_corr=0
RT=subResp[0][1]
key=subResp[0][0]
fixation.draw()
for circs in stimuli:
circs.lineColorSpace='rgb'
circs.setLineColor([0,0,0])
circs.setFillColor([0,0,0])
for circs in other_stim:
circs.opacity=0
target_stim.opacity=0
distractor_stim.opacity=0
win.flip()
#core.wait(ITI)
for stim in stimuli:
if (stim.pos[0]==target_stim.pos[0]) and (stim.pos[1]==target_stim.pos[1]):
target_circle=stim
if (HPorLP !='noDis'):
for stim in stimuli:
if (stim.pos[0]==distractor_stim.pos[0]) and (stim.pos[1]==distractor_stim.pos[1]):
distractor_circle=stim
stim_loc=(target_circle.name,distractor_circle.name)
elif HPorLP=='noDis':
stim_loc=(target_circle.name,'noDis')
# # translating things so that the output to the CSV file is a bit more readable
if tarVorI=='V':
tarVorI='valid'
else:
tarVorI='invalid'
if disVorI=='V':
disVorI='valid'
else:
disVorI='invalid'
if disCue_scramble[n]=='disA':
disCue_type='Absent'
else:
disCue_type='Present'
if HPorLP=='hp':
loc='high prob'
dPOA='Present'
elif HPorLP=='lp':
loc='low prob'
dPOA='Present'
elif HPorLP=='random':
loc='random prob'
dPOA='Present'
elif HPorLP=='noDis':
loc='None'
dPOA='Absent'
Thistrial_data= {'trialNum':(n),'tarVorI':tarVorI,'disCue_type':disCue_type,'dPOA':dPOA,'disVorI':disVorI,'distractor_loc':loc,'corrResp':corrKey,'subjectResp':key,'trialCorr?':trial_corr,'RT':RT, 'stim_loc':stim_loc,'ITI':ITI}
trialDataList.append(Thistrial_data)
print(Thistrial_data)
key=event.getKeys()
if key:
if key[0]=='escape':
win.close()
core.quit()
print('FORCED QUIT')
if EEGflag:
win.callOnFlip(port.write,ITItrig)
#core.wait(ITI) #ITI--want to jitter this?, with an average of 4 seconds
wait_here(ITI)
# port.close()
#
if thisBlock[2]=='HP':
saveDis=likely_dis.name
disProb='Yes'
disHemi=likely_hemi
else:
saveDis='randomized'
disProb='No'
disHemi='randomized'
blocks.update({'blockInfo_%i'%(block):{'block':block,'tarCue':thisBlock[0],'disCue':thisBlock[1],'highProbLoc?':disProb,'likely_dis':saveDis,'likelyDisHemisphere':disHemi,'trialsData':trialDataList}})
# #########################saving data out###########################################
if block==(len(stimList)-1):
make_csv(filename,expDone=True)
else:
make_csv(filename,expDone=False)
if EEGflag:
port.write(endofBlocktrig)
if block==int(len(stimList)/2):
exit_msg= visual.TextStim(win, pos=[0, .5],units='norm', text='You are halfway through the study!')
exit_msg3=visual.TextStim(win, pos=[0,-0.5],units='norm',text='Please take a break and, when done, call the experimenter over to continue')
exit_msg.draw()
exit_msg3.draw()
win.flip()
event.waitKeys(keyList=['q'])
if EEGflag:
port.write(stopSaveflag)
port.close()
exit_msg= visual.TextStim(win, pos=[0, .5],units='norm', text='Thank you for participating in our experiment!')
exit_msg2= visual.TextStim(win, pos=[0, 0], units='norm',text='Your time and cooperation is greatly appreciated.')
exit_msg3=visual.TextStim(win, pos=[0,-0.5],units='norm',text='Press any key to exit')
exit_msg.draw()
exit_msg2.draw()
exit_msg3.draw()
win.flip()
event.waitKeys()
# conds={'tarI': ( 0 , {'disI':[],'disL':[]}),
# 'tarV': ( 0 , {'disH':[],'disL':[]})} # where the 0 is the starting counter of tarI and tarV occurences, and the dict in elem 1 of each entry is used to count occurences of disH, disL, and disV and I trials
#
# # grabbing the # of occurences of tarI and tarV trials
# tarIcount=conds['tarI'][0]
# tarVcount=conds['tarV'][0]
# #print(tarIcount)
# #print(tarVcount)
#
# if (tarIcount<tarI_trials) and (tarVcount<tarV_trials):
# thisTrialtar=np.random.choice(['tarI','tarV'],1,p=[.20,.80])[0]
# elif (tarIcount<tarI_trials) and (tarVcount>=tarV_trials):
# thisTrialtar='tarI'
# elif (tarIcount>=tarI_trials) and (tarVcount<tarV_trials):
# thisTrialtar='tarV'
#
# # grabbing the # of occurences of disH and disL trials
# disHvi=conds[thisTrialtar][1]['disH']
# disLvi=conds[thisTrialtar][1]['disL']
# disHcount=len(disHvi)
# disLcount=len(disLvi)
#
# # the target cue type determines what number of trials will be disH or disL
# if thisTrialtar=='tarI':
# dis_trials=tarI_trials*.50
# elif thisTrialtar=='tarV':
# dis_trials=tarV_trials*.50
#
# # see which distractor cue type has occurred max number of times and impliment the other
# if (disHcount<dis_trials) and (disLcount<dis_trials):
# choice=np.random.choice([{'disH':disHvi},{'disL':disLvi}],2,p=[.50,.50],replace=False)
# thisTrialdis=choice[0].keys()[0]
# thisDislist=choice[0][thisTrialdis]
# otherDis=choice[1].keys()[0]
# otherDislist=choice[1][otherDis]
# disVcount=thisDislist.count('disV')
# disIcount=thisDislist.count('disI')
# elif (disHcount<dis_trials) and (disLcount>=dis_trials):
# thisTrialdis='disH'
# disVcount=disHvi.count('disV')
# disIcount=disHvi.count('disL')
# thisDislist=disHvi
# otherDislist=disLvi
# otherDis='disL'
# elif (disHcount>=dis_trials) and (disLcount<dis_trials):
# thisTrialdis='disL'
# disVcount=disLvi.count('disV')
# disIcount=disLvi.count('disI')
# thisDislist=disLvi
# otherDislist=disHvi
# otherDis='disH'
#
# # determine what the max # of each type of distractor cue is (valid is 80% and invalid is 20% of each distractor cue type: H or L)
# disV_trials=dis_trials*.80
# disI_trials=dis_trials*.20
#
# # see which distractor cue validity has occurred max number of times and impliment the other (dis cue valid or invalid)
# if (disVcount<disV_trials) and (disIcount<disI_trials):
# thisTrialdisValid=np.random.choice(['disI','disV'],1,p=[.20,.80])[0]
# elif (disVcount>=disV_trials) and (disIcount<disI_trials):
# thisTrialdisValid='disI'
# elif (disVcount<disV_trials) and (disIcount>=disI_trials):
# thisTrialdisValid='disV'
#
# #print(conds[thisTrialtar])
# #print(conds[thisTrialtar][0])
# thisTarcount=conds[thisTrialtar][0]
# thisTarcount+=1 #add to the count of this target cue type (valid or invalid)
# thisDislist.append(thisTrialdisValid) # add to the count of this dis cue type (valid or invalid)
# conds[thisTrialtar]=(thisTarcount,{thisTrialdis:thisDislist,otherDis:otherDislist})
#
# thisTrial=[thisTrialtar,thisTrialdis,thisTrialdisValid]
# print(thisTrial)
# print(conds)