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cued_discrim.py
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cued_discrim.py
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'''
Cued discrimination task.
A cue is played before subject initiates target presentation. Subject has to discriminate if
target was of higher or lower frequency than the cue.
'''
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)
# -- 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'],
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=0.1,
units='s',group='Timing parameters')
self.params['delayToTargetHalfRange'] = paramgui.NumericParam('+/-',value=0.0,
units='s',group='Timing parameters')
self.params['delayToTarget'] = paramgui.NumericParam('Delay to target',value=0,
units='s',group='Timing parameters',
enabled=False,decimals=3)
self.params['targetDuration'] = paramgui.NumericParam('Target duration',value=0.1,
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')
self.params['cueDuration'] = paramgui.NumericParam('Cue duration',value=0.1,
units='s',group='Timing parameters')
self.params['cueInterval'] = paramgui.NumericParam('Cue interval',value=0.4,
units='s',group='Timing parameters')
self.params['ITI'] = paramgui.NumericParam('Inter-trial interval',value=2,
units='s',group='Timing parameters')
timingParams = self.params.layout_group('Timing parameters')
self.params['trialsPerBlock'] = paramgui.NumericParam('Trials per block',value=3000,
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['psycurveMode'] = paramgui.MenuParam('PsyCurve Mode',
['off','uniform','single_target','two_cues_psy'],
value=1,group='Psychometric parameters')
self.params['psycurveNfreq'] = paramgui.NumericParam('N frequencies',value=7,decimals=0,
group='Psychometric parameters')
psychometricParams = self.params.layout_group('Psychometric parameters')
self.params['automationMode'] = paramgui.MenuParam('Automation Mode',
['off','increase_delay'],
value=0,group='Automation')
automationParams = self.params.layout_group('Automation')
# 5000, 7000, 9800 (until 2014-03-19)
self.params['highFreq'] = paramgui.NumericParam('High freq',value=24000,
units='Hz',group='Sound parameters')
self.params['midFreq'] = paramgui.NumericParam('Middle freq',value=11000,
units='Hz',group='Sound parameters')
self.params['lowFreq'] = paramgui.NumericParam('Low freq',value=5000,
units='Hz',group='Sound parameters')
self.params['targetFrequency'] = paramgui.NumericParam('Target freq',value=0,decimals=0,
units='Hz',enabled=False,group='Sound parameters')
self.params['targetIntensityMode'] = paramgui.MenuParam('Intensity mode',
['fixed','randMinus20'],
value=1,group='Sound parameters')
# This intensity corresponds to the intensity of each component of the chord
self.params['targetMaxIntensity'] = paramgui.NumericParam('Max intensity',value=50,
units='dB-SPL',group='Sound parameters')
self.params['targetIntensity'] = paramgui.NumericParam('Intensity',value=0.0,units='dB-SPL',
enabled=False,group='Sound parameters')
'''
self.params['targetAmplitudeHigh'] = paramgui.NumericParam('AmplitudeHigh',value=0.0,units='[0-1]',
enabled=False,decimals=4,group='Sound parameters')
self.params['targetAmplitudeMid'] = paramgui.NumericParam('AmplitudeMid',value=0.0,units='[0-1]',
enabled=False,decimals=4,group='Sound parameters')
self.params['targetAmplitudeLow'] = paramgui.NumericParam('AmplitudeLow',value=0.0,units='[0-1]',
enabled=False,decimals=4,group='Sound parameters')
'''
self.params['targetAmplitude'] = paramgui.NumericParam('Target amplitude',value=0.0,units='[0-1]',
enabled=False,decimals=4,group='Sound parameters')
self.params['cueIntensity'] = paramgui.NumericParam('Cue intensity',value=30,units='dB-SPL',
group='Sound parameters')
self.params['cueFrequency'] = paramgui.NumericParam('Cue freq',value=0,decimals=0,
units='Hz',enabled=False,group='Sound parameters')
self.params['punishSoundAmplitude'] = paramgui.NumericParam('Punish amplitude',value=0.01,
units='[0-1]',enabled=False,
group='Sound parameters')
'''
self.params['highFreq'] = paramgui.NumericParam('High freq',value=500,
units='Hz',group='Sound parameters')
self.params['midFreq'] = paramgui.NumericParam('Middle freq',value=440,
units='Hz',group='Sound parameters')
self.params['lowFreq'] = paramgui.NumericParam('Low freq',value=400,
units='Hz',group='Sound parameters')
#4200, 9200, 20200
'''
soundParams = self.params.layout_group('Sound parameters')
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()
layoutCol4.addWidget(automationParams)
layoutCol3.addStretch()
layoutCol4.addWidget(soundParams)
layoutCol3.addStretch()
layoutCol4.addWidget(reportParams)
layoutCol4.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)
# -- Connect to sound server and define sounds --
print 'Conecting to soundserver...'
print '***** FIXME: HARDCODED TIME DELAY TO WAIT FOR SERIAL PORT! *****' ### DEBUG
time.sleep(0.2)
self.soundClient = soundclient.SoundClient()
'''
highFreq = self.params['highFreq'].get_value()
lowFreq = self.params['lowFreq'].get_value()
stimDur = self.params['targetDuration'].get_value()
s1 = {'type':'tone', 'frequency':lowFreq, 'duration':stimDur, 'amplitude':0.01}
s2 = {'type':'tone', 'frequency':highFreq, 'duration':stimDur, 'amplitude':0.01}
self.soundClient.set_sound(1,s1)
self.soundClient.set_sound(2,s2)
'''
punishSoundAmplitude = self.params['punishSoundAmplitude'].get_value()
sNoise = {'type':'noise', 'duration':0.5, 'amplitude':punishSoundAmplitude}
self.punishSoundID = 127
self.soundClient.set_sound(self.punishSoundID,sNoise)
self.soundClient.start()
# -- Prepare first trial --
#self.prepare_next_trial(0)
def prepare_sounds(self,targetFrequency,cueFrequency):
if self.params['targetIntensityMode'].get_string() == 'randMinus20':
possibleIntensities = self.params['targetMaxIntensity'].get_value()+\
np.array([-20,-15,-10,-5,0])
targetIntensity = possibleIntensities[np.random.randint(len(possibleIntensities))]
else:
targetIntensity = self.params['targetMaxIntensity'].get_value()
self.params['targetIntensity'].set_value(targetIntensity)
spkCal = speakercalibration.Calibration(rigsettings.SPEAKER_CALIBRATION)
# FIXME: currently I am averaging calibration from both speakers (not good)
targetAmp = spkCal.find_amplitude(targetFrequency,targetIntensity).mean()
self.params['targetAmplitude'].set_value(targetAmp)
targetDur = self.params['targetDuration'].get_value()
s1 = {'type':'chord', 'frequency':targetFrequency, 'duration':targetDur,
'amplitude':targetAmp, 'ntones':12, 'factor':1.2}
self.soundClient.set_sound(1,s1)
###cueFrequency = self.params['midFreq'].get_value()
cueIntensity = self.params['cueIntensity'].get_value()
cueAmp = spkCal.find_amplitude(cueFrequency,cueIntensity).mean()
#self.params['cueAmplitude'].set_value(cueAmp)
cueDur = self.params['cueDuration'].get_value()
s2 = {'type':'chord', 'frequency':cueFrequency, 'duration':cueDur,
'amplitude':cueAmp, 'ntones':12, 'factor':1.2}
self.soundClient.set_sound(2,s2)
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 sound --
highFreq = self.params['highFreq'].get_value()
midFreq = self.params['midFreq'].get_value()
lowFreq = self.params['lowFreq'].get_value()
currentBlock = self.params['currentBlock'].get_string()
psycurveMode = self.params['psycurveMode'].get_string()
'''
if psycurveMode=='off':
if currentBlock=='mid_boundary':
freqsLH = [lowFreq,highFreq]
elif currentBlock=='low_boundary':
freqsLH = [lowFreq,midFreq]
elif currentBlock=='high_boundary':
freqsLH = [midFreq,highFreq]
if nextCorrectChoice==self.results.labels['rewardSide']['left']:
targetFrequency = freqsLH[0]
elif nextCorrectChoice==self.results.labels['rewardSide']['right']:
targetFrequency = freqsLH[1]
'''
if psycurveMode=='off':
allTargetFreq = np.array([lowFreq,midFreq,highFreq])
allCueFreq = np.array([np.sqrt(lowFreq*midFreq),np.sqrt(midFreq*highFreq)])
randIndexTarget = np.random.randint(2)
if nextCorrectChoice==self.results.labels['rewardSide']['left']:
targetFrequency = allTargetFreq[0:2][randIndexTarget]
possibleCueFreq = allCueFreq[allCueFreq>targetFrequency]
randIndexCue = np.random.randint(len(possibleCueFreq))
cueFrequency = possibleCueFreq[randIndexCue]
elif nextCorrectChoice==self.results.labels['rewardSide']['right']:
targetFrequency = allTargetFreq[1:3][randIndexTarget]
possibleCueFreq = allCueFreq[allCueFreq<targetFrequency]
randIndexCue = np.random.randint(len(possibleCueFreq))
cueFrequency = possibleCueFreq[randIndexCue]
elif psycurveMode=='single_target':
allCueFreq = np.array([np.sqrt(lowFreq*midFreq),np.sqrt(midFreq*highFreq)])
targetFrequency = midFreq
if nextCorrectChoice==self.results.labels['rewardSide']['left']:
cueFrequency = allCueFreq[1]
elif nextCorrectChoice==self.results.labels['rewardSide']['right']:
cueFrequency = allCueFreq[0]
elif psycurveMode=='two_cues_psy':
possibleCueFreq = np.array([np.sqrt(lowFreq*midFreq),np.sqrt(midFreq*highFreq)])
nFreqs = self.params['psycurveNfreq'].get_value()
allTargetFreq = np.logspace(np.log10(lowFreq),np.log10(highFreq),nFreqs)
randIndexCue = np.random.randint(len(possibleCueFreq))
cueFrequency = possibleCueFreq[randIndexCue]
if nextCorrectChoice==self.results.labels['rewardSide']['left']:
possibleTargetFreq = allTargetFreq[allTargetFreq<cueFrequency]
elif nextCorrectChoice==self.results.labels['rewardSide']['right']:
possibleTargetFreq = allTargetFreq[allTargetFreq>cueFrequency]
randIndexTarget = np.random.randint(len(possibleTargetFreq))
targetFrequency = possibleTargetFreq[randIndexTarget]
elif psycurveMode=='uniform':
if currentBlock=='mid_boundary':
nFreqs = self.params['psycurveNfreq'].get_value()
freqsAll = np.logspace(np.log10(lowFreq),np.log10(highFreq),nFreqs)
freqBoundary = np.sqrt(lowFreq*highFreq)
# -- NOTE: current implementation does not present points at the psych boundary --
leftFreqInds = np.flatnonzero(freqsAll<freqBoundary)
rightFreqInds = np.flatnonzero(freqsAll>freqBoundary)
else:
print 'WARNING! PsyCurve for this block type has not been implemented'
if nextCorrectChoice==self.results.labels['rewardSide']['left']:
randindex = np.random.randint(len(freqsAll[leftFreqInds]))
targetFrequency = freqsAll[leftFreqInds][randindex]
#targetFrequency = np.random.choice(freqsAll[leftFreqInds])
elif nextCorrectChoice==self.results.labels['rewardSide']['right']:
randindex = np.random.randint(len(freqsAll[rightFreqInds]))
targetFrequency = freqsAll[rightFreqInds][randindex]
#targetFrequency = np.random.choice(freqsAll[rightFreqInds])
# -- Cue frequency --
nFreqs = self.params['psycurveNfreq'].get_value()
freqsAll = np.logspace(np.log10(lowFreq),np.log10(highFreq),nFreqs)
if nextCorrectChoice==self.results.labels['rewardSide']['left']:
possibleCueFreq = freqsAll[freqsAll>targetFrequency]
elif nextCorrectChoice==self.results.labels['rewardSide']['right']:
possibleCueFreq = freqsAll[freqsAll<targetFrequency]
cueFrequency = np.random.choice(possibleCueFreq)
self.params['targetFrequency'].set_value(targetFrequency)
self.params['cueFrequency'].set_value(cueFrequency)
self.prepare_sounds(targetFrequency,cueFrequency)
# -- 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()
targetSoundID = 1 # FIXME: hardcoded (defined in prepare_sounds)
cueSoundID = 2 # FIXME: hardcoded (defined in prepare_sounds)
targetDuration = self.params['targetDuration'].get_value()
cueDuration = self.params['cueDuration'].get_value()
cueInterval = self.params['cueInterval'].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')
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':
stimOutput.append(ledOutput)
self.sm.add_state(name='startTrial', statetimer=0,
transitions={'Tup':'waitForCenterPoke'},
outputsOn=trialStartOutput)
self.sm.add_state(name='waitForCenterPoke', statetimer=1,
transitions={'Tup':'playTarget'})
self.sm.add_state(name='playTarget', statetimer=targetDuration,
transitions={'Tup':'reward'},
outputsOn=stimOutput,serialOut=targetSoundID,
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=0,
transitions={'Tup':'playCueOn'})
self.sm.add_state(name='playCueOn', statetimer=cueDuration,
transitions={'Cin':'delayPeriod',correctSidePort:'playCueLast','Tup':'playCueOff'},
serialOut=cueSoundID)
self.sm.add_state(name='playCueOff', statetimer=cueInterval,
transitions={'Cin':'delayPeriod',correctSidePort:'playCueLast','Tup':'playCueOn'})
self.sm.add_state(name='delayPeriod', statetimer=delayToTarget,
transitions={'Tup':'playCueLast'},
serialOut=0)
self.sm.add_state(name='playCueLast', statetimer=0,
transitions={'Tup':'delayAfterCue'}) # serialOut=cueSoundID
self.sm.add_state(name='delayAfterCue', statetimer=0,
transitions={'Tup':'playTarget'},
serialOut=0)
self.sm.add_state(name='playTarget', statetimer=targetDuration,
transitions={'Tup':'reward'},
outputsOn=stimOutput,serialOut=targetSoundID,
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':'interTrialInterval'},
outputsOff=[rewardOutput])
self.sm.add_state(name='interTrialInterval', statetimer=self.params['ITI'].get_value(),
transitions={'Tup':'readyForNextTrial'})
elif outcomeMode=='direct':
self.sm.add_state(name='startTrial', statetimer=0,
transitions={'Tup':'waitForCenterPoke'},
outputsOn=trialStartOutput)
self.sm.add_state(name='waitForCenterPoke', statetimer=0,
transitions={'Tup':'playCueOn'})
self.sm.add_state(name='playCueOn', statetimer=cueDuration,
transitions={'Cin':'delayPeriod','Tup':'playCueOff'},
serialOut=cueSoundID)
self.sm.add_state(name='playCueOff', statetimer=cueInterval,
transitions={'Cin':'delayPeriod','Tup':'playCueOn'})
self.sm.add_state(name='delayPeriod', statetimer=delayToTarget,
transitions={'Tup':'playCueLast', 'Cout':'waitForCenterPoke'},
serialOut=0)
self.sm.add_state(name='playCueLast', statetimer=0,
transitions={'Tup':'delayAfterCue'}) # serialOut=cueSoundID
self.sm.add_state(name='delayAfterCue', statetimer=0,
transitions={'Tup':'playTarget'},
serialOut=0)
self.sm.add_state(name='playTarget', statetimer=targetDuration,
transitions={'Tup':'reward'},
outputsOn=stimOutput,serialOut=targetSoundID,
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':'interTrialInterval'},
outputsOff=[rewardOutput])
self.sm.add_state(name='interTrialInterval', statetimer=self.params['ITI'].get_value(),
transitions={'Tup':'readyForNextTrial'})
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=0,
transitions={'Tup':'playCueOn'})
self.sm.add_state(name='playCueOn', statetimer=cueDuration,
transitions={'Cin':'delayPeriod','Tup':'playCueOff'},
serialOut=cueSoundID)
self.sm.add_state(name='playCueOff', statetimer=cueInterval,
transitions={'Cin':'delayPeriod','Tup':'playCueOn'})
self.sm.add_state(name='delayPeriod', statetimer=delayToTarget,
transitions={'Tup':'playCueLast', 'Cout':'waitForCenterPoke'},
serialOut=0)
self.sm.add_state(name='playCueLast', statetimer=0,
transitions={'Tup':'delayAfterCue'}) # serialOut=cueSoundID
self.sm.add_state(name='delayAfterCue', statetimer=0,
transitions={'Tup':'playTarget'},
serialOut=0)
self.sm.add_state(name='playTarget', statetimer=targetDuration,
transitions={'Tup':'waitForSidePoke'},
outputsOn=stimOutput,serialOut=targetSoundID,
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='reward', statetimer=rewardDuration,
transitions={'Tup':'stopReward'},
outputsOn=[rewardOutput],
outputsOff=stimOutput)
self.sm.add_state(name='stopReward', statetimer=0,
transitions={'Tup':'interTrialInterval'},
outputsOff=[rewardOutput])
self.sm.add_state(name='punish', statetimer=punishTimeError,
transitions={'Tup':'interTrialInterval'})
self.sm.add_state(name='noChoice', statetimer=0,
transitions={'Tup':'readyForNextTrial'})
self.sm.add_state(name='interTrialInterval', statetimer=self.params['ITI'].get_value(),
transitions={'Tup':'readyForNextTrial'})
'''
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':'playTarget','Cout':'waitForCenterPoke'})
self.sm.add_state(name='playTarget', statetimer=targetDuration,
transitions={'Tup':'waitForSidePoke','Cout':'earlyWithdrawal'},
outputsOn=stimOutput, serialOut=targetSoundID,
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,serialOut=self.punishSoundID)
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=0,
transitions={'Tup':'playCueOn'})
self.sm.add_state(name='playCueOn', statetimer=cueDuration,
transitions={'Cin':'delayPeriod','Tup':'playCueOff'},
serialOut=cueSoundID)
self.sm.add_state(name='playCueOff', statetimer=cueInterval,
transitions={'Cin':'delayPeriod','Tup':'playCueOn'})
self.sm.add_state(name='delayPeriod', statetimer=delayToTarget,
transitions={'Tup':'playCueLast', 'Cout':'waitForCenterPoke'},
serialOut=0)
'''
self.sm.add_state(name='playCueLast', statetimer=cueDuration,
transitions={'Tup':'delayAfterCue'},
serialOut=cueSoundID)
'''
self.sm.add_state(name='playCueLast', statetimer=0,
transitions={'Tup':'delayAfterCue'}) # serialOut=cueSoundID
self.sm.add_state(name='delayAfterCue', statetimer=0,
transitions={'Tup':'playTarget'},
serialOut=0)
self.sm.add_state(name='playTarget', statetimer=targetDuration,
transitions={'Tup':'waitForSidePoke'},
outputsOn=stimOutput, serialOut=targetSoundID,
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'})
self.sm.add_state(name='earlyWithdrawal', statetimer=punishTimeEarly,
transitions={'Tup':'interTrialInterval'},
outputsOff=stimOutput,serialOut=self.punishSoundID)
self.sm.add_state(name='reward', statetimer=rewardDuration,
transitions={'Tup':'stopReward'},
outputsOn=[rewardOutput])
self.sm.add_state(name='stopReward', statetimer=0,
transitions={'Tup':'interTrialInterval'},
outputsOff=[rewardOutput]+stimOutput)
self.sm.add_state(name='punish', statetimer=punishTimeError,
transitions={'Tup':'interTrialInterval'})
self.sm.add_state(name='noChoice', statetimer=0,
transitions={'Tup':'interTrialInterval'})
self.sm.add_state(name='interTrialInterval', statetimer=self.params['ITI'].get_value(),
transitions={'Tup':'readyForNextTrial'})
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]
####### FIXME: Make sure resutls are calculated properly #########
# -- 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['playTarget']
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']:
seqCin = [self.sm.statesNameToIndex['waitForCenterPoke'],
self.sm.statesNameToIndex['delayPeriod'],
self.sm.statesNameToIndex['playTarget']]
elif outcomeModeString in ['simulated','sides_direct','direct']:
seqCin = [self.sm.statesNameToIndex['waitForCenterPoke'],
self.sm.statesNameToIndex['playTarget']]
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 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']
elif self.sm.statesNameToIndex['punish'] in eventsThisTrial[:,2]:
self.results['outcome'][trialIndex] = \
self.results.labels['outcome']['error']
else:
# Note that outcome='nochoice' is already set when testing for choice
pass
# -- Check if it was a valid trial --
if self.sm.statesNameToIndex['waitForSidePoke'] 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%2:
self.params['delayToTargetMean'].add(0.001)
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)