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light_discrim.py
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light_discrim.py
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'''
Light discrimination paradigm
'''
import numpy as np
from taskontrol.settings import rigsettings
from taskontrol.core import paramgui
from PySide import QtGui
from taskontrol.core import arraycontainer
from taskontrol.core import utils
from taskontrol.plugins import templates
reload(templates)
from taskontrol.plugins import performancedynamicsplot
#from taskontrol.plugins import soundclient
#from taskontrol.plugins import speakercalibration
import time
LONGTIME = 100
class Paradigm(templates.Paradigm2AFC):
def __init__(self,parent=None, paramfile=None, paramdictname=None):
super(Paradigm, self).__init__(parent)
self.name = 'lightDiscrim'
# -- Performance dynamics plot --
performancedynamicsplot.set_pg_colors(self)
self.myPerformancePlot = performancedynamicsplot.PerformanceDynamicsPlot(nTrials=400,winsize=10)
# -- Add parameters --
self.params['timeWaterValveL'] = paramgui.NumericParam('Time valve left',value=0.03,
units='s',group='Water delivery')
self.params['timeWaterValveC'] = paramgui.NumericParam('Time valve center',value=0.03,
units='s',group='Water delivery')
self.params['timeWaterValveR'] = paramgui.NumericParam('Time valve right',value=0.03,
units='s',group='Water delivery')
waterDelivery = self.params.layout_group('Water delivery')
self.params['outcomeMode'] = paramgui.MenuParam('Outcome mode',
['sides_direct','direct','on_next_correct',
'only_if_correct','simulated', 'if_correct_leave_on'],
value=3,group='Choice parameters')
self.params['antibiasMode'] = paramgui.MenuParam('Anti-bias mode',
['off','repeat_mistake'],
value=0,group='Choice parameters')
choiceParams = self.params.layout_group('Choice parameters')
self.params['delayToTargetMean'] = paramgui.NumericParam('Mean delay to target',value=0.2,
units='s',group='Timing parameters')
self.params['delayToTargetHalfRange'] = paramgui.NumericParam('+/-',value=0.05,
units='s',group='Timing parameters')
self.params['delayToTarget'] = paramgui.NumericParam('Delay to target',value=0.3,
units='s',group='Timing parameters',
enabled=False,decimals=3)
self.params['targetDuration'] = paramgui.NumericParam('Target duration',value=0.2,
units='s',group='Timing parameters')
self.params['rewardAvailability'] = paramgui.NumericParam('Reward availability',value=4,
units='s',group='Timing parameters')
self.params['punishTimeError'] = paramgui.NumericParam('Punishment (error)',value=0,
units='s',group='Timing parameters')
self.params['punishTimeEarly'] = paramgui.NumericParam('Punishment (early)',value=0,
units='s',group='Timing parameters')
timingParams = self.params.layout_group('Timing parameters')
'''
self.params['trialsPerBlock'] = paramgui.NumericParam('Trials per block',value=300,
units='trials (0=no-switch)',
group='Switching parameters')
self.params['currentBlock'] = paramgui.MenuParam('Current block',
['mid_boundary','low_boundary','high_boundary'],
value=0,group='Switching parameters')
switchingParams = self.params.layout_group('Switching parameters')
'''
self.params['automationMode'] = paramgui.MenuParam('Automation Mode',
['off','increase_delay'],
value=0,group='Automation')
automationParams = self.params.layout_group('Automation')
self.params['nValid'] = paramgui.NumericParam('N valid',value=0,
units='',enabled=False,
group='Report')
self.params['nRewarded'] = paramgui.NumericParam('N rewarded',value=0,
units='',enabled=False,
group='Report')
reportParams = self.params.layout_group('Report')
#
self.params['experimenter'].set_value('santiago')
self.params['subject'].set_value('test')
# -- Add graphical widgets to main window --
self.centralWidget = QtGui.QWidget()
layoutMain = QtGui.QVBoxLayout()
layoutTop = QtGui.QVBoxLayout()
layoutBottom = QtGui.QHBoxLayout()
layoutCol1 = QtGui.QVBoxLayout()
layoutCol2 = QtGui.QVBoxLayout()
layoutCol3 = QtGui.QVBoxLayout()
layoutCol4 = QtGui.QVBoxLayout()
layoutMain.addLayout(layoutTop)
#layoutMain.addStretch()
layoutMain.addSpacing(0)
layoutMain.addLayout(layoutBottom)
layoutTop.addWidget(self.mySidesPlot)
layoutTop.addWidget(self.myPerformancePlot)
layoutBottom.addLayout(layoutCol1)
layoutBottom.addLayout(layoutCol2)
layoutBottom.addLayout(layoutCol3)
layoutBottom.addLayout(layoutCol4)
layoutCol1.addWidget(self.saveData)
layoutCol1.addWidget(self.sessionInfo)
layoutCol1.addWidget(self.dispatcherView)
layoutCol2.addWidget(self.manualControl)
layoutCol2.addStretch()
layoutCol2.addWidget(waterDelivery)
layoutCol2.addStretch()
layoutCol2.addWidget(choiceParams)
layoutCol2.addStretch()
layoutCol3.addWidget(timingParams)
layoutCol3.addStretch()
#layoutCol3.addWidget(switchingParams)
#layoutCol3.addStretch()
#layoutCol3.addWidget(psychometricParams)
#layoutCol3.addStretch()
layoutCol3.addWidget(automationParams)
layoutCol3.addStretch()
#layoutCol4.addWidget(soundParams)
#layoutCol3.addStretch()
layoutCol3.addWidget(reportParams)
layoutCol3.addStretch()
self.centralWidget.setLayout(layoutMain)
self.setCentralWidget(self.centralWidget)
# -- Add variables for storing results --
maxNtrials = 4000 # Preallocating space for each vector makes things easier
self.results = arraycontainer.Container()
self.results.labels['rewardSide'] = {'left':0,'right':1}
self.results['rewardSide'] = np.random.randint(2,size=maxNtrials)
self.results.labels['choice'] = {'left':0,'right':1,'none':2}
self.results['choice'] = np.empty(maxNtrials,dtype=int)
self.results.labels['outcome'] = {'correct':1,'error':0,'invalid':2,
'free':3,'nochoice':4,'aftererror':5,'aborted':6}
self.results['outcome'] = np.empty(maxNtrials,dtype=int)
# Saving as bool creates an 'enum' vector, so I'm saving as 'int'
self.results['valid'] = np.zeros(maxNtrials,dtype='int8') # redundant but useful
self.results['timeTrialStart'] = np.empty(maxNtrials,dtype=float)
self.results['timeTarget'] = np.empty(maxNtrials,dtype=float)
self.results['timeCenterIn'] = np.empty(maxNtrials,dtype=float)
self.results['timeCenterOut'] = np.empty(maxNtrials,dtype=float)
self.results['timeSideIn'] = np.empty(maxNtrials,dtype=float)
'''
# -- Define first block --
import datetime
if (datetime.datetime.now().day%2):
self.params['currentBlock'].set_string('low_boundary')
else:
self.params['currentBlock'].set_string('high_boundary')
'''
# -- Load parameters from a file --
self.params.from_file(paramfile,paramdictname)
# -- Prepare first trial --
#self.prepare_next_trial(0)
def prepare_next_trial(self, nextTrial):
import time
TicTime = time.time()
# -- Calculate results from last trial (update outcome, choice, etc) --
if nextTrial>0:
self.params.update_history()
self.calculate_results(nextTrial-1)
# -- Apply anti-bias --
if self.params['antibiasMode'].get_string()=='repeat_mistake':
if self.results['outcome'][nextTrial-1]==self.results.labels['outcome']['error']:
self.results['rewardSide'][nextTrial] = self.results['rewardSide'][nextTrial-1]
'''
# -- Set current block if switching --
#trialsPerBlock = self.params['trialsPerBlock'].get_value()
nValid = self.params['nValid'].get_value()
###print '{0} {1} {2}'.format(nValid,trialsPerBlock,np.mod(nValid,trialsPerBlock)) ### DEBUG
if (nValid>0) and not (np.mod(nValid,trialsPerBlock)):
if self.results['valid'][nextTrial-1]:
if self.params['currentBlock'].get_string()=='low_boundary':
newBlock = 'high_boundary'
elif self.params['currentBlock'].get_string()=='high_boundary':
newBlock = 'low_boundary'
else:
newBlock = 'mid_boundary' # No switch
self.params['currentBlock'].set_string(newBlock)
'''
#import pdb; pdb.set_trace() ### DEBUG
# === Prepare next trial ===
self.execute_automation()
nextCorrectChoice = self.results['rewardSide'][nextTrial]
# -- Prepare state matrix --
self.set_state_matrix(nextCorrectChoice)
self.dispatcherModel.ready_to_start_trial()
###print 'Elapsed Time (preparing next trial): ' + str(time.time()-TicTime) ### DEBUG
# -- Update sides plot --
self.mySidesPlot.update(self.results['rewardSide'],self.results['outcome'],nextTrial)
# -- Update performance plot --
self.myPerformancePlot.update(self.results['rewardSide'],self.results.labels['rewardSide'],
self.results['outcome'],self.results.labels['outcome'],
nextTrial)
def set_state_matrix(self,nextCorrectChoice):
self.sm.reset_transitions()
soundID = 1 # The appropriate sound has already been prepared and sent to server with ID=1
targetDuration = self.params['targetDuration'].get_value()
if rigsettings.OUTPUTS.has_key('outBit1'):
trialStartOutput = ['outBit1'] # Sync signal for trial-start.
else:
trialStartOutput = []
if rigsettings.OUTPUTS.has_key('outBit0'):
stimOutput = ['outBit0'] # Sync signal for stimulus
else:
stimOutput = []
if nextCorrectChoice==self.results.labels['rewardSide']['left']:
rewardDuration = self.params['timeWaterValveL'].get_value()
ledOutput = 'leftLED'
fromChoiceL = 'reward'
fromChoiceR = 'punish'
rewardOutput = 'leftWater'
correctSidePort = 'Lin'
#soundID = 1
elif nextCorrectChoice==self.results.labels['rewardSide']['right']:
rewardDuration = self.params['timeWaterValveR'].get_value()
ledOutput = 'rightLED'
fromChoiceL = 'punish'
fromChoiceR = 'reward'
rewardOutput = 'rightWater'
correctSidePort = 'Rin'
#soundID = 2
else:
raise ValueError('Value of nextCorrectChoice is not appropriate')
stimOutput.append(ledOutput)
randNum = (2*np.random.random(1)[0]-1) # In range [-1,1)
delayToTarget = self.params['delayToTargetMean'].get_value() + \
self.params['delayToTargetHalfRange'].get_value()*randNum
self.params['delayToTarget'].set_value(delayToTarget)
rewardAvailability = self.params['rewardAvailability'].get_value()
punishTimeError = self.params['punishTimeError'].get_value()
punishTimeEarly = self.params['punishTimeEarly'].get_value()
# -- Set state matrix --
outcomeMode = self.params['outcomeMode'].get_string()
if outcomeMode=='simulated':
self.sm.add_state(name='startTrial', statetimer=0,
transitions={'Tup':'waitForCenterPoke'},
outputsOn=trialStartOutput)
self.sm.add_state(name='waitForCenterPoke', statetimer=1,
transitions={'Tup':'playStimulus'})
self.sm.add_state(name='playStimulus', statetimer=targetDuration,
transitions={'Tup':'reward'},
outputsOn=stimOutput,serialOut=soundID,
outputsOff=trialStartOutput)
self.sm.add_state(name='reward', statetimer=rewardDuration,
transitions={'Tup':'stopReward'},
outputsOn=[rewardOutput],
outputsOff=stimOutput)
self.sm.add_state(name='stopReward', statetimer=0,
transitions={'Tup':'readyForNextTrial'},
outputsOff=[rewardOutput])
elif outcomeMode=='sides_direct':
self.sm.add_state(name='startTrial', statetimer=0,
transitions={'Tup':'waitForCenterPoke'},
outputsOn=trialStartOutput)
self.sm.add_state(name='waitForCenterPoke', statetimer=LONGTIME,
transitions={'Cin':'playStimulus',correctSidePort:'playStimulus'})
self.sm.add_state(name='playStimulus', statetimer=targetDuration,
transitions={'Tup':'reward'},
outputsOn=stimOutput,serialOut=soundID,
outputsOff=trialStartOutput)
self.sm.add_state(name='reward', statetimer=rewardDuration,
transitions={'Tup':'stopReward'},
outputsOn=[rewardOutput],
outputsOff=stimOutput)
self.sm.add_state(name='stopReward', statetimer=0,
transitions={'Tup':'readyForNextTrial'},
outputsOff=[rewardOutput])
elif outcomeMode=='direct':
self.sm.add_state(name='startTrial', statetimer=0,
transitions={'Tup':'waitForCenterPoke'},
outputsOn=trialStartOutput)
self.sm.add_state(name='waitForCenterPoke', statetimer=LONGTIME,
transitions={'Cin':'playStimulus'})
self.sm.add_state(name='playStimulus', statetimer=targetDuration,
transitions={'Tup':'reward'},
outputsOn=stimOutput,serialOut=soundID,
outputsOff=trialStartOutput)
self.sm.add_state(name='reward', statetimer=rewardDuration,
transitions={'Tup':'stopReward'},
outputsOn=[rewardOutput],
outputsOff=stimOutput)
self.sm.add_state(name='stopReward', statetimer=0,
transitions={'Tup':'readyForNextTrial'},
outputsOff=[rewardOutput])
elif outcomeMode=='on_next_correct':
self.sm.add_state(name='startTrial', statetimer=0,
transitions={'Tup':'waitForCenterPoke'},
outputsOn=trialStartOutput)
self.sm.add_state(name='waitForCenterPoke', statetimer=LONGTIME,
transitions={'Cin':'delayPeriod'})
self.sm.add_state(name='delayPeriod', statetimer=delayToTarget,
transitions={'Tup':'playStimulus','Cout':'waitForCenterPoke'})
self.sm.add_state(name='playStimulus', statetimer=targetDuration,
transitions={'Tup':'waitForSidePoke','Cout':'earlyWithdrawal'},
outputsOn=stimOutput, serialOut=soundID,
outputsOff=trialStartOutput)
self.sm.add_state(name='waitForSidePoke', statetimer=rewardAvailability,
transitions={'Lin':'choiceLeft','Rin':'choiceRight',
'Tup':'noChoice'},
outputsOff=stimOutput)
self.sm.add_state(name='keepWaitForSide', statetimer=rewardAvailability,
transitions={'Lin':'choiceLeft','Rin':'choiceRight',
'Tup':'noChoice'},
outputsOff=stimOutput)
if correctSidePort=='Lin':
self.sm.add_state(name='choiceLeft', statetimer=0,
transitions={'Tup':'reward'})
self.sm.add_state(name='choiceRight', statetimer=0,
transitions={'Tup':'keepWaitForSide'})
elif correctSidePort=='Rin':
self.sm.add_state(name='choiceLeft', statetimer=0,
transitions={'Tup':'keepWaitForSide'})
self.sm.add_state(name='choiceRight', statetimer=0,
transitions={'Tup':'reward'})
self.sm.add_state(name='earlyWithdrawal', statetimer=punishTimeEarly,
transitions={'Tup':'readyForNextTrial'},
outputsOff=stimOutput)
self.sm.add_state(name='reward', statetimer=rewardDuration,
transitions={'Tup':'stopReward'},
outputsOn=[rewardOutput])
self.sm.add_state(name='stopReward', statetimer=0,
transitions={'Tup':'readyForNextTrial'},
outputsOff=[rewardOutput])
self.sm.add_state(name='punish', statetimer=punishTimeError,
transitions={'Tup':'readyForNextTrial'})
self.sm.add_state(name='noChoice', statetimer=0,
transitions={'Tup':'readyForNextTrial'})
elif outcomeMode=='only_if_correct':
self.sm.add_state(name='startTrial', statetimer=0,
transitions={'Tup':'waitForCenterPoke'},
outputsOn=trialStartOutput)
self.sm.add_state(name='waitForCenterPoke', statetimer=LONGTIME,
transitions={'Cin':'delayPeriod'})
self.sm.add_state(name='delayPeriod', statetimer=delayToTarget,
transitions={'Tup':'playStimulus','Cout':'waitForCenterPoke'})
self.sm.add_state(name='playStimulus', statetimer=targetDuration,
transitions={'Tup':'waitForSidePoke'},
outputsOn=stimOutput,
outputsOff=trialStartOutput)
self.sm.add_state(name='waitForSidePoke', statetimer=rewardAvailability,
transitions={'Lin':'choiceLeft','Rin':'choiceRight',
'Tup':'noChoice'},
outputsOff=stimOutput)
if correctSidePort=='Lin':
self.sm.add_state(name='choiceLeft', statetimer=0,
transitions={'Tup':'reward'})
self.sm.add_state(name='choiceRight', statetimer=0,
transitions={'Tup':'punish'})
elif correctSidePort=='Rin':
self.sm.add_state(name='choiceLeft', statetimer=0,
transitions={'Tup':'punish'})
self.sm.add_state(name='choiceRight', statetimer=0,
transitions={'Tup':'reward'})
# 'earlywithdrawal' should never be reached in this mode
self.sm.add_state(name='earlyWithdrawal', statetimer=punishTimeEarly,
transitions={'Tup':'readyForNextTrial'},
outputsOff=stimOutput)
self.sm.add_state(name='reward', statetimer=rewardDuration,
transitions={'Tup':'stopReward'},
outputsOn=[rewardOutput])
self.sm.add_state(name='stopReward', statetimer=0,
transitions={'Tup':'readyForNextTrial'},
outputsOff=[rewardOutput]+stimOutput)
self.sm.add_state(name='punish', statetimer=punishTimeError,
transitions={'Tup':'readyForNextTrial'})
self.sm.add_state(name='noChoice', statetimer=0,
transitions={'Tup':'readyForNextTrial'})
elif outcomeMode=='if_correct_leave_on':
self.sm.add_state(name='startTrial', statetimer=0,
transitions={'Tup':'waitForCenterPoke'},
outputsOn=trialStartOutput)
self.sm.add_state(name='waitForCenterPoke', statetimer=LONGTIME,
transitions={'Cin':'delayPeriod'})
self.sm.add_state(name='delayPeriod', statetimer=delayToTarget,
transitions={'Tup':'playStimulus','Cout':'waitForCenterPoke'})
self.sm.add_state(name='playStimulus', statetimer=targetDuration,
transitions={'Tup':'waitForSidePoke'},
outputsOn=stimOutput,
outputsOff=trialStartOutput)
self.sm.add_state(name='waitForSidePoke', statetimer=rewardAvailability,
transitions={'Lin':'choiceLeft','Rin':'choiceRight',
'Tup':'noChoice'})
if correctSidePort=='Lin':
self.sm.add_state(name='choiceLeft', statetimer=0,
transitions={'Tup':'reward'})
self.sm.add_state(name='choiceRight', statetimer=0,
transitions={'Tup':'punish'})
elif correctSidePort=='Rin':
self.sm.add_state(name='choiceLeft', statetimer=0,
transitions={'Tup':'punish'})
self.sm.add_state(name='choiceRight', statetimer=0,
transitions={'Tup':'reward'})
# 'earlywithdrawal' should never be reached in this mode
self.sm.add_state(name='earlyWithdrawal', statetimer=punishTimeEarly,
transitions={'Tup':'readyForNextTrial'},
outputsOff=stimOutput)
self.sm.add_state(name='reward', statetimer=rewardDuration,
transitions={'Tup':'stopReward'},
outputsOn=[rewardOutput],
outputsOff=stimOutput)
self.sm.add_state(name='stopReward', statetimer=0,
transitions={'Tup':'readyForNextTrial'},
outputsOff=[rewardOutput]+stimOutput)
self.sm.add_state(name='punish', statetimer=punishTimeError,
transitions={'Tup':'readyForNextTrial'},
outputsOff=stimOutput)
self.sm.add_state(name='noChoice', statetimer=0,
transitions={'Tup':'readyForNextTrial'},
outputsOff=stimOutput)
else:
raise TypeError('outcomeMode={0} has not been implemented'.format(outcomeMode))
###print self.sm ### DEBUG
self.dispatcherModel.set_state_matrix(self.sm)
def calculate_results(self,trialIndex):
# -- Find outcomeMode for this trial --
outcomeModeID = self.params.history['outcomeMode'][trialIndex]
outcomeModeString = self.params['outcomeMode'].get_items()[outcomeModeID]
eventsThisTrial = self.dispatcherModel.events_one_trial(trialIndex)
#print eventsThisTrial
statesThisTrial = eventsThisTrial[:,2]
# -- Find beginning of trial --
startTrialStateID = self.sm.statesNameToIndex['startTrial']
# FIXME: Next line seems inefficient. Is there a better way?
startTrialInd = np.flatnonzero(statesThisTrial==startTrialStateID)[0]
self.results['timeTrialStart'][trialIndex] = eventsThisTrial[startTrialInd,0]
#print 'TrialStart : {0}'.format(self.results['timeTrialStart'][trialIndex]) ### DEBUG
# ===== Calculate times of events =====
# -- Check if it's an aborted trial --
lastEvent = eventsThisTrial[-1,:]
if lastEvent[1]==-1 and lastEvent[2]==0:
self.results['timeTarget'][trialIndex] = np.nan
self.results['timeCenterIn'][trialIndex] = np.nan
self.results['timeCenterOut'][trialIndex] = np.nan
self.results['timeSideIn'][trialIndex] = np.nan
# -- Otherwise evaluate times of important events --
else:
# -- Store time of stimulus --
targetStateID = self.sm.statesNameToIndex['playStimulus']
targetEventInd = np.flatnonzero(statesThisTrial==targetStateID)[0]
self.results['timeTarget'][trialIndex] = eventsThisTrial[targetEventInd,0]
# -- Find center poke-in time --
if outcomeModeString in ['on_next_correct','only_if_correct', 'if_correct_leave_on']:
seqCin = [self.sm.statesNameToIndex['waitForCenterPoke'],
self.sm.statesNameToIndex['delayPeriod'],
self.sm.statesNameToIndex['playStimulus']]
elif outcomeModeString in ['simulated','sides_direct','direct']:
seqCin = [self.sm.statesNameToIndex['waitForCenterPoke'],
self.sm.statesNameToIndex['playStimulus']]
else:
print 'CenterIn time cannot be calculated for this Outcome Mode.'
seqPos = np.flatnonzero(utils.find_state_sequence(statesThisTrial,seqCin))
timeValue = eventsThisTrial[seqPos[0]+1,0] if len(seqPos) else np.nan
self.results['timeCenterIn'][trialIndex] = timeValue
# -- Find center poke-out time --
if len(seqPos):
cInInd = seqPos[0]+1
cOutInd = np.flatnonzero(eventsThisTrial[cInInd:,1]==self.sm.eventsDict['Cout'])
timeValue = eventsThisTrial[cOutInd[0]+cInInd,0] if len(cOutInd) else np.nan
else:
timeValue = np.nan
self.results['timeCenterOut'][trialIndex] = timeValue
# -- Find side poke time --
if outcomeModeString in ['on_next_correct','only_if_correct']:
leftInInd = utils.find_transition(statesThisTrial,
self.sm.statesNameToIndex['waitForSidePoke'],
self.sm.statesNameToIndex['choiceLeft'])
rightInInd = utils.find_transition(statesThisTrial,
self.sm.statesNameToIndex['waitForSidePoke'],
self.sm.statesNameToIndex['choiceRight'])
if len(leftInInd):
timeValue = eventsThisTrial[leftInInd[0],0]
elif len(rightInInd):
timeValue = eventsThisTrial[rightInInd[0],0]
else:
timeValue = np.nan
elif outcomeModeString in ['simulated','sides_direct','direct']:
timeValue = np.nan
self.results['timeSideIn'][trialIndex] = timeValue
# ===== Calculate choice and outcome =====
# -- Check if it's an aborted trial --
lastEvent = eventsThisTrial[-1,:]
if lastEvent[1]==-1 and lastEvent[2]==0:
self.results['outcome'][trialIndex] = self.results.labels['outcome']['aborted']
self.results['choice'][trialIndex] = self.results.labels['choice']['none']
# -- Otherwise evaluate 'choice' and 'outcome' --
else:
if outcomeModeString in ['simulated','sides_direct','direct']:
self.results['outcome'][trialIndex] = self.results.labels['outcome']['free']
self.results['choice'][trialIndex] = self.results.labels['choice']['none']
self.params['nValid'].add(1)
self.params['nRewarded'].add(1)
self.results['valid'][trialIndex] = 1
# if outcomeModeString=='on_next_correct' or outcomeModeString=='only_if_correct':
if outcomeModeString in ['on_next_correct', 'only_if_correct', 'if_correct_leave_on']:
if self.sm.statesNameToIndex['choiceLeft'] in eventsThisTrial[:,2]:
self.results['choice'][trialIndex] = self.results.labels['choice']['left']
elif self.sm.statesNameToIndex['choiceRight'] in eventsThisTrial[:,2]:
self.results['choice'][trialIndex] = self.results.labels['choice']['right']
else:
self.results['choice'][trialIndex] = self.results.labels['choice']['none']
self.results['outcome'][trialIndex] = \
self.results.labels['outcome']['nochoice']
if self.sm.statesNameToIndex['reward'] in eventsThisTrial[:,2]:
self.results['outcome'][trialIndex] = \
self.results.labels['outcome']['correct']
self.params['nRewarded'].add(1)
if outcomeModeString=='on_next_correct' and \
self.sm.statesNameToIndex['keepWaitForSide'] in eventsThisTrial[:,2]:
self.results['outcome'][trialIndex] = \
self.results.labels['outcome']['aftererror']
else:
if self.sm.statesNameToIndex['earlyWithdrawal'] in eventsThisTrial[:,2]:
self.results['outcome'][trialIndex] = \
self.results.labels['outcome']['invalid']
elif self.sm.statesNameToIndex['punish'] in eventsThisTrial[:,2]:
self.results['outcome'][trialIndex] = \
self.results.labels['outcome']['error']
# -- Check if it was a valid trial --
if self.sm.statesNameToIndex['playStimulus'] in eventsThisTrial[:,2]:
self.params['nValid'].add(1)
self.results['valid'][trialIndex] = 1
def execute_automation(self):
automationMode = self.params['automationMode'].get_string()
nValid = self.params['nValid'].get_value()
if automationMode=='increase_delay':
if nValid>0 and not nValid%10:
self.params['delayToTargetMean'].add(0.010)
def closeEvent(self, event):
'''
Executed when closing the main window.
This method is inherited from QtGui.QMainWindow, which explains
its camelCase naming.
'''
#self.soundClient.shutdown()
self.dispatcherModel.die()
event.accept()
if __name__ == '__main__':
(app,paradigm) = paramgui.create_app(Paradigm)