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Copy pathheadfixed_twochoice_SDTvars.py
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headfixed_twochoice_SDTvars.py
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"""
Two-alternative choice for head-fixed with two lick ports (right/left).
"""
import numpy as np
import sys
from qtpy import QtWidgets
from taskontrol import rigsettings
from taskontrol import dispatcher
from taskontrol import statematrix
from taskontrol import savedata
from taskontrol import paramgui
from taskontrol import paramgui as messenger
from taskontrol import utils
from taskontrol.plugins import manualcontrol
from taskontrol.plugins import soundclient
from taskontrol.plugins import speakercalibration
import time
LONGTIME = 100
MAX_N_TRIALS = 8000
if 'outBit1' in rigsettings.OUTPUTS:
trialStartSync = ['outBit1'] # Sync signal for trial-start.
else:
trialStartSync = []
if 'outBit0' in rigsettings.OUTPUTS:
stimSync = ['outBit0'] # Sync signal for sound stimulus
else:
stimSync = []
class Paradigm(QtWidgets.QMainWindow):
def __init__(self,parent=None, paramfile=None, paramdictname=None):
super(Paradigm, self).__init__(parent)
self.name = 'twochoice'
# -- Create an empty statematrix --
self.sm = statematrix.StateMatrix(inputs=rigsettings.INPUTS, outputs=rigsettings.OUTPUTS,
readystate='readyForNextTrial')
# -- Create dispatcher --
smServerType = rigsettings.STATE_MACHINE_TYPE
self.dispatcher = dispatcher.Dispatcher(serverType=smServerType,interval=0.1)
#self.dispatcherView = dispatcher.DispatcherGUI(model=self.dispatcherModel)
# -- Module for saving data --
self.saveData = savedata.SaveData(rigsettings.DATA_DIR, remotedir=rigsettings.REMOTE_DIR)
# -- Manual control of outputs --
self.manualControl = manualcontrol.ManualControl(self.dispatcher.statemachine)
timeWaterValve = 0.03
self.singleDrop = manualcontrol.SingleDrop(self.dispatcher.statemachine, timeWaterValve)
# -- Define graphical parameters --
self.params = paramgui.Container()
self.params['trainer'] = paramgui.StringParam('Trainer (initials)',
value='',
group='Session info')
self.params['experimenter'] = paramgui.StringParam('Experimenter',
value='experimenter',
group='Session info')
self.params['subject'] = paramgui.StringParam('Subject',value='subject',
group='Session info')
self.sessionInfo = self.params.layout_group('Session info')
self.params['timeWaterValve'] = paramgui.NumericParam('Time valve',value=timeWaterValve,
units='s',group='Water delivery')
waterDelivery = self.params.layout_group('Water delivery')
self.params['lickingPeriod'] = paramgui.NumericParam('Licking period',value=1.5,
units='s',group='Timing parameters')
self.params['rewardAvailability'] = paramgui.NumericParam('Reward availability',value=1,
units='s',group='Timing parameters')
self.params['interTrialInterval'] = paramgui.NumericParam('Inter trial interval (ITI)',value=0,
units='s',group='Timing parameters',
decimals=3, enabled=False)
self.params['addedITI'] = paramgui.NumericParam('Added ITI',value=0,
units='s',group='Timing parameters',
decimals=3, enabled=False)
self.params['interTrialIntervalMean'] = paramgui.NumericParam('ITI mean',value=2.5,
units='s',group='Timing parameters')
self.params['interTrialIntervalHalfRange'] = paramgui.NumericParam('ITI +/-',value=1,
units='s',group='Timing parameters')
#self.params['punishTimeOut'] = paramgui.NumericParam('Time out (punish)',value=1,
# units='s',group='Timing parameters')
#self.params['timeLEDon'] = paramgui.NumericParam('Time LED on',value=1,
# units='s',group='Timing parameters')
self.params['automationMode'] = paramgui.MenuParam('Automation Mode',
['off','increase_delay'],
value=0,group='Timing parameters')
timingParams = self.params.layout_group('Timing parameters')
self.params['highFreq'] = paramgui.NumericParam('High frequency', value=13000, units='Hz',
group='Sound parameters')
self.params['lowFreq'] = paramgui.NumericParam('Low frequency', value=6000, units='Hz',
group='Sound parameters')
self.params['targetFrequency'] = paramgui.NumericParam('Target frequency', value=0,
decimals=0, units='Hz', enabled=False,
group='Sound parameters')
self.params['highAMrate'] = paramgui.NumericParam('High mod rate',value=32,
units='Hz',group='Sound parameters')
self.params['lowAMrate'] = paramgui.NumericParam('Low mod rate',value=8,
units='Hz',group='Sound parameters')
self.params['targetAMrate'] = paramgui.NumericParam('Target AM rate', value=0,
decimals=1, units='Hz', enabled=False,
group='Sound parameters')
self.params['targetCloudStrength'] = paramgui.NumericParam('Target cloud strength', value=0,
decimals=0, units='[-100,100]', enabled=False,
group='Sound parameters')
self.params['highAMdepth'] = paramgui.NumericParam('High AM depth', value=100, units='',
group='Sound parameters')
self.params['lowAMdepth'] = paramgui.NumericParam('Low AM depth', value=0, units='',
group='Sound parameters')
self.params['targetAMdepth'] = paramgui.NumericParam('Target AM depth', value=0,
decimals=0, units='', enabled=False,
group='Sound parameters')
self.params['targetFMslope'] = paramgui.NumericParam('Target FM slope', value=0,
decimals=2, units='', enabled=False,
group='Sound parameters')
self.params['startFreq'] = paramgui.NumericParam('FM start frequency', value=0, units='Hz', decimals=0,
enabled=False, group='Sound parameters')
self.params['targetDuration'] = paramgui.NumericParam('Target duration', value=0.5, units='s',
group='Sound parameters')
self.params['targetIntensity'] = paramgui.NumericParam('Target intensity', value=50,
units='dB-SPL', enabled=True,
group='Sound parameters')
self.params['targetAmplitude'] = paramgui.NumericParam('Target amplitude',value=0.0,
units='[0-1]', enabled=False,
decimals=4, group='Sound parameters')
soundParams = self.params.layout_group('Sound parameters')
self.params['punishmentSound'] = paramgui.MenuParam('Punishment Sound Type',
[ 'chord', 'white_noise'], value = 0,
group = 'Punishment parameters')
self.params['punishmentFrequency'] =paramgui.NumericParam('Punishment frequency', value=13000,
units='Hz', group='Punishment parameters')
self.params['punishmentIntensity'] = paramgui.NumericParam('Punishment intensity',value=70,
units='dB-SPL',enabled=True,
group='Punishment parameters')
self.params['punishmentDuration'] = paramgui.NumericParam('Punishment duration',value=0.1,
units='s', group='Punishment parameters')
punishmentParams = self.params.layout_group('Punishment parameters')
self.params['lickBeforeStimOffset'] = paramgui.MenuParam('Lick before stim offset',
['reward','ignore','abort','punish'], value=0,
group='Choice parameters')
self.params['rewardSideMode'] = paramgui.MenuParam('Reward side mode',
['random','toggle','onlyL','onlyR',
'repeat_mistake'], value=0,
group='Choice parameters')
self.params['rewardSide'] = paramgui.MenuParam('Reward side', ['left','right'], value=0,
enabled=False, group='Choice parameters')
choiceParams = self.params.layout_group('Choice parameters')
self.params['stimType'] = paramgui.MenuParam('Stim type',
['sound_and_light', 'sound_only', 'light_only'],
value=1, group='General parameters')
self.params['soundType'] = paramgui.MenuParam('Sound type',
['chords', 'AM_rate','AM_depth','AM_vs_chord',
'tone_cloud', 'FM_direction'],
value=0,group='General parameters')
self.params['psycurveMode'] = paramgui.MenuParam('PsyCurve Mode',
['off', 'uniform', 'mid_and_extreme'],
value=0,group='General parameters')
self.params['psycurveNsteps'] = paramgui.NumericParam('N steps',value=6,decimals=0,
group='General parameters')
self.params['syncLight'] = paramgui.MenuParam('Sync light',
['off', 'leftLED', 'centerLED', 'rightLED'],
value=0, group='General parameters')
self.params['syncLightMode'] = paramgui.MenuParam('Sync light mode',
['from_stim_offset', 'overlap_with_stim'],
value=1, group='General parameters',
enabled=False)
self.params['taskMode'] = paramgui.MenuParam('Task mode',
['water_after_sound','water_on_lick',
'lick_on_stim','discriminate_stim'],
value=0, group='General parameters')
generalParams = self.params.layout_group('General parameters')
self.params['nHitsLeft'] = paramgui.NumericParam('Hits L',value=0, enabled=False,
units='trials',group='Report')
self.params['nHitsRight'] = paramgui.NumericParam('Hits R',value=0, enabled=False,
units='trials',group='Report')
self.params['nErrorsLeft'] = paramgui.NumericParam('Errors L',value=0, enabled=False,
units='trials',group='Report')
self.params['nErrorsRight'] = paramgui.NumericParam('Errors R',value=0, enabled=False,
units='trials',group='Report')
self.params['nInterruptsLeft'] = paramgui.NumericParam('Interrupts L',value=0, enabled=False,
units='trials',group='Report')
self.params['nInterruptsRight'] = paramgui.NumericParam('Interrupts R',value=0, enabled=False,
units='trials',group='Report')
self.params['nEarlyLicksLeft'] = paramgui.NumericParam('Early licks L',value=0, enabled=False,
units='trials',group='Report')
self.params['nEarlyLicksRight'] = paramgui.NumericParam('Early licks R',value=0, enabled=False,
units='trials',group='Report')
'''
self.params['nInterrupts'] = paramgui.NumericParam('Interrupts',value=0, enabled=False,
units='trials',group='Report')
'''
self.params['nNoResponsesLeft'] = paramgui.NumericParam('NoResponses L',value=0, enabled=False,
units='trials',group='Report')
self.params['nNoResponsesRight'] = paramgui.NumericParam('NoResponses R',value=0, enabled=False,
units='trials',group='Report')
self.params['nLicksLeft'] = paramgui.NumericParam('Licks L',value=0, enabled=False,
units='trials',group='Report')
self.params['nLicksRight'] = paramgui.NumericParam('Licks R',value=0, enabled=False,
units='trials',group='Report')
reportInfo = self.params.layout_group('Report')
# -- Add graphical widgets to main window --
self.centralWidget = QtWidgets.QWidget()
layoutMain = QtWidgets.QHBoxLayout()
layoutCol1 = QtWidgets.QVBoxLayout()
layoutCol2 = QtWidgets.QVBoxLayout()
layoutCol3 = QtWidgets.QVBoxLayout()
layoutCol4 = QtWidgets.QVBoxLayout()
layoutMain.addLayout(layoutCol1)
layoutMain.addLayout(layoutCol2)
layoutMain.addLayout(layoutCol3)
layoutMain.addLayout(layoutCol4)
layoutCol1.addWidget(self.singleDrop)
layoutCol1.addStretch()
layoutCol1.addWidget(self.saveData)
layoutCol1.addStretch()
layoutCol1.addWidget(self.sessionInfo)
layoutCol1.addStretch()
layoutCol1.addWidget(self.dispatcher.widget)
layoutCol2.addWidget(self.manualControl)
layoutCol2.addStretch()
layoutCol2.addWidget(reportInfo)
layoutCol3.addWidget(soundParams)
layoutCol3.addStretch()
layoutCol3.addWidget(punishmentParams)
layoutCol4.addWidget(waterDelivery)
layoutCol4.addStretch()
layoutCol4.addWidget(timingParams)
layoutCol4.addStretch()
layoutCol4.addWidget(choiceParams)
layoutCol4.addStretch()
layoutCol4.addWidget(generalParams)
self.centralWidget.setLayout(layoutMain)
self.setCentralWidget(self.centralWidget)
# -- Add variables for storing results --
maxNtrials = MAX_N_TRIALS # Preallocating space for each vector makes things easier
self.results = utils.EnumContainer()
self.results.labels['outcome'] = {'hit':1, 'error':0,'interrupt':3, 'earlyLick':5, 'noResponse':2, 'none':-1, 'punishments': 4}
self.results['outcome'] = np.empty(maxNtrials,dtype=int)
self.results.labels['choice'] = {'left':0,'right':1,'none':2}
self.results['choice'] = np.empty(maxNtrials,dtype=int)
# -- Load parameters from a file --
self.params.from_file(paramfile,paramdictname)
# -- Load speaker calibration --
self.sineCal = speakercalibration.Calibration(rigsettings.SPEAKER_CALIBRATION_SINE)
self.chordCal = speakercalibration.Calibration(rigsettings.SPEAKER_CALIBRATION_CHORD)
self.noiseCal = speakercalibration.NoiseCalibration(rigsettings.SPEAKER_CALIBRATION_NOISE)
# -- 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()
self.targetSoundID = 1
self.punishSoundID = 3
self.soundClient.start()
# -- Connect signals from dispatcher --
self.dispatcher.prepareNextTrial.connect(self.prepare_next_trial)
# -- Connect messenger --
self.messagebar = paramgui.Messenger()
self.messagebar.timedMessage.connect(self._show_message)
self.messagebar.collect('Created window')
# -- Connect signals to messenger
self.saveData.logMessage.connect(self.messagebar.collect)
self.dispatcher.logMessage.connect(self.messagebar.collect)
# -- Connect other signals --
self.saveData.buttonSaveData.clicked.connect(self.save_to_file)
def _show_message(self,msg):
self.statusBar().showMessage(str(msg))
print(msg)
def save_to_file(self):
'''Triggered by button-clicked signal'''
self.saveData.to_file([self.params, self.dispatcher,
self.sm, self.results],
self.dispatcher.currentTrial,
experimenter='',
subject=self.params['subject'].get_value(),
paradigm=self.name)
def prepare_punish_sound(self, punishmentSound, soundParam):
punishmentIntensity = self.params['punishmentIntensity'].get_value()
punishmentDuration = self.params['punishmentDuration'].get_value()
if punishmentSound =='chord':
punishmentFrequency = soundParam
punishmentAmp = self.chordCal.find_amplitude(punishmentFrequency,punishmentIntensity).mean()
s3 = {'type':'chord', 'frequency':punishmentFrequency, 'duration':punishmentDuration,
'amplitude':punishmentAmp, 'ntones':12, 'factor':1.2}
elif punishmentSound == 'white_noise':
#modDepth = soundParam
punishmentAmp = self.noiseCal.find_amplitude(punishmentIntensity).mean()
#modFrequency = 10
s3 = {'type':'noise', 'duration':punishmentDuration, 'amplitude':punishmentAmp}
self.soundClient.set_sound(self.punishSoundID,s3)
def prepare_target_sound(self, soundType, soundParam):
"""
The meaning of soundParam depends on the soundType. For example:
for soundType='chords', soundParam is the target frequency,
for soundType='AM_depth', soundParam is the modulation depth.
"""
#targetFrequency = 6000
targetIntensity = self.params['targetIntensity'].get_value()
targetDuration = self.params['targetDuration'].get_value()
# FIXME: currently I am averaging calibration from both speakers (not good)
if soundType == 'chords':
targetFrequency = soundParam
targetAmp = self.chordCal.find_amplitude(targetFrequency,targetIntensity).mean()
s1 = {'type':'chord', 'frequency':targetFrequency, 'duration':targetDuration,
'amplitude':targetAmp, 'ntones':12, 'factor':1.2}
elif soundType == 'AM_rate':
targetRate = soundParam
modDepth = self.params['highAMdepth'].get_value()
self.params['targetAMdepth'].set_value(modDepth)
targetAmp = self.noiseCal.find_amplitude(targetIntensity).mean()
s1 = {'type':'AM', 'modFrequency':targetRate, 'duration':targetDuration,
'modDepth':modDepth, 'amplitude':targetAmp}
elif soundType == 'AM_depth':
modDepth = soundParam
targetAmp = self.noiseCal.find_amplitude(targetIntensity).mean()
targetDuration = self.params['targetDuration'].get_value()
modRate = self.params['lowAMrate'].get_value()
#modFrequency = 10
self.params['targetAMrate'].set_value(modRate)
s1 = {'type':'AM', 'modFrequency':modRate, 'duration':targetDuration,
'modDepth':modDepth, 'amplitude':targetAmp}
if soundType == 'tone_cloud':
cloudStrength = soundParam # A value bewteen -100 and 100
highestFreq = self.params['highFreq'].get_value()
lowestFreq = self.params['lowFreq'].get_value()
factorToMidpoint = np.power(highestFreq/lowestFreq,1/6)
centerHighThird = highestFreq/factorToMidpoint
centerLowThird = lowestFreq*factorToMidpoint
'''
# FIXME: Amplitude estimation needs to be fixed! This is a temporary hack.
if cloudStrength>=0:
targetAmp = self.chordCal.find_amplitude(centerHighThird,targetIntensity).mean()
else:
targetAmp = self.chordCal.find_amplitude(centerLowThird,targetIntensity).mean()
'''
s1 = {'type':'toneCloud', 'duration':targetDuration, 'amplitude':0,
'freqRange':[lowestFreq,highestFreq], 'nFreq':18, 'toneDuration':0.03,
'toneOnsetAsync': 0.01, 'strength':soundParam}
freqEachTone = np.logspace(*np.log10(s1['freqRange']), s1['nFreq'])
calibArray = self.sineCal.find_amplitudes(freqEachTone, targetIntensity).mean(axis=1)
s1.update({'amplitude':1, 'calibration':calibArray})
targetAmp = 0 # Set to zero since it doesn't mean anything in this case
elif soundType == 'FM_direction':
targetFMslope = soundParam # [-1,1]
highFreq = self.params['highFreq'].get_value()
lowFreq = self.params['lowFreq'].get_value()
midFreq = np.sqrt(lowFreq*highFreq)
halfRange = highFreq/midFreq
frequencyStart = np.exp( np.log(midFreq) - targetFMslope*np.log(halfRange) )
frequencyEnd = np.exp( np.log(midFreq) + targetFMslope*np.log(halfRange) )
'''
if FMslope==1:
frequencyStart = lowFreq
frequencyEnd = highFreq
elif FMslope==-1:
frequencyStart = highFreq
frequencyEnd = lowFreq
else:
raise ValueError('FMslope value is not valid.')
'''
self.params['startFreq'].set_value(frequencyStart)
targetAmp = self.sineCal.find_amplitude(midFreq, targetIntensity).mean()
s1 = {'type':'FM', 'frequencyStart':frequencyStart, 'frequencyEnd':frequencyEnd,
'duration':targetDuration, 'amplitude':targetAmp}
self.params['targetAmplitude'].set_value(targetAmp)
self.soundClient.set_sound(self.targetSoundID,s1)
def prepare_next_trial(self, nextTrial):
# -- Calculate results from last trial (update outcome, choice, etc) --
if nextTrial>0:
self.params.update_history(nextTrial-1)
self.calculate_results(nextTrial-1)
lastTrialWasRewarded = self.results['outcome'][nextTrial-1] == \
self.results.labels['outcome']['hit']
else:
lastTrialWasRewarded = True
# -- Prepare next trial --
self.execute_automation(nextTrial)
taskMode = self.params['taskMode'].get_string()
rewardAvailability = self.params['rewardAvailability'].get_value()
punishmentDuration = self.params['punishmentDuration'].get_value()
punishmentFrequency = self.params['punishmentFrequency'].get_value()
#punishmentAMdepth = self.params['punishmentAMdepth'].get_value()
targetDuration = self.params['targetDuration'].get_value()
timeWaterValve = self.params['timeWaterValve'].get_value()
interTrialIntervalMean = self.params['interTrialIntervalMean'].get_value()
interTrialIntervalHalfRange = self.params['interTrialIntervalHalfRange'].get_value()
addedITI = self.params['addedITI'].get_value()
randNum = (2*np.random.random(1)[0]-1)
interTrialInterval = interTrialIntervalMean + randNum*interTrialIntervalHalfRange + addedITI
self.params['interTrialInterval'].set_value(interTrialInterval)
lickingPeriod = self.params['lickingPeriod'].get_value()
lickBeforeStimOffset = self.params['lickBeforeStimOffset'].get_string()
lastRewardSide = self.params['rewardSide'].get_string()
rewardSideMode = self.params['rewardSideMode'].get_string()
possibleSides = ['left','right']
if rewardSideMode=='toggle':
if lastRewardSide=='left':
nextRewardSide = 'right'
else:
nextRewardSide = 'left'
elif rewardSideMode=='random':
nextRewardSide = possibleSides[np.random.randint(2)]
elif rewardSideMode=='repeat_mistake':
if lastTrialWasRewarded:
nextRewardSide = possibleSides[np.random.randint(2)]
else:
nextRewardSide = lastRewardSide
elif rewardSideMode=='onlyL':
nextRewardSide = 'left'
elif rewardSideMode=='onlyR':
nextRewardSide = 'right'
psycurveMode = self.params['psycurveMode'].get_string()
lowFreq = self.params['lowFreq'].get_value()
highFreq = self.params['highFreq'].get_value()
lowAMrate = self.params['lowAMrate'].get_value()
highAMrate = self.params['highAMrate'].get_value()
lowAMdepth = self.params['lowAMdepth'].get_value()
highAMdepth = self.params['highAMdepth'].get_value()
nSteps = self.params['psycurveNsteps'].get_value()
possibleFreqs = np.logspace(np.log10(lowFreq), np.log10(highFreq), nSteps)
possibleAMrates = np.logspace(np.log10(lowAMrate), np.log10(highAMrate), nSteps)
possibleAMdepths = np.linspace(lowAMdepth, highAMdepth, nSteps)
possibleStrengths = np.linspace(-100, 100, nSteps)
# NOTE: this was originally done for freq but works for all types.
# It would be better to just do it according to nSteps rather than freqBoundary
freqBoundary = np.sqrt(lowFreq*highFreq)
leftFreqInds = np.flatnonzero(possibleFreqs<freqBoundary)
rightFreqInds = np.flatnonzero(possibleFreqs>freqBoundary)
if nextRewardSide=='left':
self.params['rewardSide'].set_string('left')
rewardedEvent = 'Lin'
punishedEvent = 'Rin'
rewardOutput = 'leftWater'
targetLED = 'leftLED'
targetAMdepth = self.params['lowAMdepth'].get_value()
targetFMslope = -1
if psycurveMode=='uniform':
freqIndex = np.random.randint(len(leftFreqInds))
strengthIndex = np.random.randint(int(nSteps/2))
# FIXME: temporary hack to enable psychometric during FM
if self.params['soundType'].get_string()=='FM_direction':
#possibleFMslopes = np.linspace(1, -1, nSteps) # This was used until 2021-10-21
possibleFMslopes = np.linspace(-1, 1, nSteps) # This was enabled on 2021-10-22
randIndex = np.random.randint(nSteps//2) # WARNING: nSteps needs to be even
targetFMslope = possibleFMslopes[randIndex]
elif psycurveMode=='mid_and_extreme':
freqSubset = [0, nSteps//2-1]
freqIndex = freqSubset[np.random.randint(len(freqSubset))]
else:
freqIndex = 0 # Lowest freq
strengthIndex = 0 # strength=-100 (100% low)
elif nextRewardSide=='right':
self.params['rewardSide'].set_string('right')
rewardedEvent = 'Rin'
punishedEvent = 'Lin'
rewardOutput = 'rightWater'
targetLED = 'rightLED'
targetAMdepth = self.params['highAMdepth'].get_value()
targetFMslope = 1
if psycurveMode=='uniform':
freqIndex = np.random.randint(len(rightFreqInds))+len(leftFreqInds)
strengthIndex = np.random.randint(int(nSteps/2)) + int(nSteps/2)
# FIXME: temporary hack to enable psychometric during FM
if self.params['soundType'].get_string()=='FM_direction':
#possibleFMslopes = np.linspace(1, -1, nSteps) # This was used until 2021-10-21
possibleFMslopes = np.linspace(-1, 1, nSteps) # This was enabled on 2021-10-22
randIndex = np.random.randint(nSteps//2) # WARNING: nSteps needs to be even
targetFMslope = possibleFMslopes[randIndex + (nSteps//2)]
elif psycurveMode=='mid_and_extreme':
freqSubset = [nSteps//2, nSteps-1]
freqIndex = freqSubset[np.random.randint(len(freqSubset))]
else:
freqIndex = -1 # Highest freq
strengthIndex = -1 # strength=100 (100% high)
# -- Prepare the sound --
targetFrequency = possibleFreqs[freqIndex]
targetAMrate = possibleAMrates[freqIndex]
targetAMdepth = possibleAMdepths[freqIndex]
targetCloudStrength = possibleStrengths[strengthIndex]
soundType = self.params['soundType'].get_string()
if soundType == 'chords':
self.params['targetFrequency'].set_value(targetFrequency)
self.prepare_target_sound(soundType, targetFrequency)
elif soundType == 'AM_rate':
self.params['targetAMrate'].set_value(targetAMrate)
self.prepare_target_sound(soundType, targetAMrate)
elif soundType == 'AM_depth':
self.params['targetAMdepth'].set_value(targetAMdepth)
self.prepare_target_sound(soundType, targetAMdepth)
elif soundType == 'AM_vs_chord':
if nextRewardSide=='left':
targetAMdepth = self.params['lowAMdepth'].get_value()
self.params['targetAMdepth'].set_value(targetAMdepth)
self.prepare_target_sound('AM_depth', targetAMdepth)
if nextRewardSide=='right':
self.params['targetFrequency'].set_value(highFreq)
self.prepare_target_sound('chords', targetFrequency)
elif soundType == 'tone_cloud':
self.params['targetCloudStrength'].set_value(targetCloudStrength)
self.prepare_target_sound(soundType, targetCloudStrength)
elif soundType == 'FM_direction':
self.params['targetFMslope'].set_value(targetFMslope)
self.prepare_target_sound(soundType, targetFMslope)
punishmentSound = self.params['punishmentSound'].get_string()
if punishmentSound == 'chord':
self.params['punishmentFrequency'].set_value(punishmentFrequency)
self.prepare_punish_sound(punishmentSound, punishmentFrequency)
elif punishmentSound == 'white_noise':
self.prepare_punish_sound(punishmentSound, None)
punishsoundOutput = self.punishSoundID
syncLightPortStr = self.params['syncLight'].get_string()
if syncLightPortStr=='off':
syncLightPort = []
else:
syncLightPort = [syncLightPortStr]
stimType = self.params['stimType'].get_string()
if (stimType=='sound_and_light') | (stimType=='sound_only'):
soundOutput = self.targetSoundID
stimOutput = stimSync
else:
soundOutput = soundclient.STOP_ALL_SOUNDS
stimOutput = stimSync
if (stimType=='sound_and_light') | (stimType=='light_only'):
lightOutput = [targetLED]
stimOutput = stimSync + ['leftLED','rightLED']
else:
lightOutput = []
stimOutput += syncLightPort
#print(stimOutput)
self.sm.reset_transitions()
if taskMode == 'water_after_sound':
self.sm.add_state(name='startTrial', statetimer=0,
transitions={'Tup':'delayPeriod'})
self.sm.add_state(name='delayPeriod', statetimer=interTrialInterval,
transitions={'Tup':'playTarget'})
if lickBeforeStimOffset=='punish':
self.sm.add_state(name='playTarget', statetimer=targetDuration,
transitions={'Lin':'interruptPunishL', 'Rin': 'interruptPunishR',
'Tup': 'reward'},
outputsOn=lightOutput+stimOutput, serialOut=soundOutput)
elif lickBeforeStimOffset=='ignore' or 'abort' or 'reward':
self.sm.add_state(name='playTarget', statetimer=targetDuration,
transitions={'Tup':'reward'},
serialOut=soundOutput)
else:
raise ValueError(f'Lick mode: "{lickBeforeStimOffset}" has not been implemented')
self.sm.add_state(name='interruptPunishL', statetimer=0,
transitions={'Tup': 'punishment'},
serialOut=soundclient.STOP_ALL_SOUNDS)
self.sm.add_state(name='interruptPunishR', statetimer=0,
transitions={'Tup': 'punishment'},
serialOut=soundclient.STOP_ALL_SOUNDS)
self.sm.add_state(name='punishment', statetimer=punishmentDuration,
transitions={'Tup': 'readyForNextTrial'},
serialOut= punishsoundOutput)
self.sm.add_state(name='reward', statetimer=timeWaterValve,
transitions={'Tup':'stopReward'},
outputsOn=[rewardOutput])
self.sm.add_state(name='stopReward', statetimer=0,
transitions={'Tup':'lickingPeriod'},
outputsOff=[rewardOutput])
self.sm.add_state(name='lickingPeriod', statetimer=lickingPeriod,
transitions={'Tup':'readyForNextTrial'})
# -- A few empty states necessary to avoid errors when changing taskMode --
self.sm.add_state(name='hit')
self.sm.add_state(name='error')
self.sm.add_state(name='noResponse')
self.sm.add_state(name='interruptL')
self.sm.add_state(name='interruptR')
self.sm.add_state(name='earlyLickL')
self.sm.add_state(name='earlyLickR')
elif taskMode == 'water_on_lick':
self.sm.add_state(name='startTrial', statetimer=0,
transitions={'Tup':'waitForLick'},
outputsOff=['centerLED'])
self.sm.add_state(name='waitForLick', statetimer=LONGTIME,
transitions={rewardedEvent:'reward'})
self.sm.add_state(name='reward', statetimer=timeWaterValve,
transitions={'Tup':'stopReward'},
outputsOn=[rewardOutput]+lightOutput,
serialOut=soundOutput)
self.sm.add_state(name='stopReward', statetimer=interTrialInterval,
transitions={'Tup':'readyForNextTrial'},
outputsOff=[rewardOutput]+lightOutput)
# -- A few empty states necessary to avoid errors when changing taskMode --
self.sm.add_state(name='hit')
self.sm.add_state(name='error')
self.sm.add_state(name='noResponse')
self.sm.add_state(name='interruptL')
self.sm.add_state(name='interruptR')
self.sm.add_state(name='interruptPunishL')
self.sm.add_state(name='interruptPunishR')
self.sm.add_state(name='earlyLickL')
self.sm.add_state(name='earlyLickR')
elif taskMode == 'lick_on_stim':
self.sm.add_state(name='startTrial', statetimer=0,
transitions={'Tup':'delayPeriod'},
outputsOff=['centerLED','rightLED','leftLED'])
self.sm.add_state(name='delayPeriod', statetimer=interTrialInterval,
transitions={'Lin':'earlyLickL', 'Rin':'earlyLickR',
'Tup':'playTarget'})
if lickBeforeStimOffset=='reward':
self.sm.add_state(name='playTarget', statetimer=targetDuration,
transitions={rewardedEvent:'hit', 'Tup':'waitForLick'},
outputsOn=lightOutput+stimOutput, serialOut=soundOutput)
elif lickBeforeStimOffset=='ignore':
self.sm.add_state(name='playTarget', statetimer=targetDuration,
transitions={'Tup':'waitForLick'},
outputsOn=lightOutput+stimOutput, serialOut=soundOutput)
elif lickBeforeStimOffset=='abort':
self.sm.add_state(name='playTarget', statetimer=targetDuration,
transitions={'Lin':'interruptL', 'Rin':'interruptR',
'Tup':'waitForLick'},
outputsOn=lightOutput+stimOutput, serialOut=soundOutput)
elif lickBeforeStimOffset=='punish':
self.sm.add_state(name='playTarget', statetimer=targetDuration,
transitions={'Lin':'interruptPunishL', 'Rin': 'interruptPunishR',
'Tup': 'waitForLick'},
outputsOn=lightOutput+stimOutput, serialOut=soundOutput)
else:
raise ValueError(f'Lick mode: "{lickBeforeStimOffset}" has not been implemented')
self.sm.add_state(name='waitForLick', statetimer=rewardAvailability,
transitions={rewardedEvent:'hit', punishedEvent:'error', 'Tup':'noResponse'},
outputsOff=['centerLED','rightLED','leftLED']+stimOutput)
self.sm.add_state(name='hit', statetimer=0,
transitions={'Tup':'reward'},
outputsOff=['centerLED','rightLED','leftLED']+stimOutput)
self.sm.add_state(name='error', statetimer=0,
transitions={'Tup':'waitForLick'},
outputsOff=['centerLED','rightLED','leftLED']+stimOutput)
self.sm.add_state(name='noResponse', statetimer=0,
transitions={'Tup':'readyForNextTrial'})
self.sm.add_state(name='interruptL', statetimer=0,
transitions={'Tup':'readyForNextTrial'},
serialOut=soundclient.STOP_ALL_SOUNDS)
self.sm.add_state(name='interruptR', statetimer=0,
transitions={'Tup':'readyForNextTrial'},
serialOut=soundclient.STOP_ALL_SOUNDS)
self.sm.add_state(name='interruptPunishL', statetimer=0,
transitions={'Tup': 'punishment'},
serialOut=soundclient.STOP_ALL_SOUNDS)
self.sm.add_state(name='interruptPunishR', statetimer=0,
transitions={'Tup': 'punishment'},
serialOut=soundclient.STOP_ALL_SOUNDS)
self.sm.add_state(name='earlyLickL', statetimer=0,
transitions={'Tup':'readyForNextTrial'},
serialOut=soundclient.STOP_ALL_SOUNDS)
self.sm.add_state(name='earlyLickR', statetimer=0,
transitions={'Tup':'readyForNextTrial'},
serialOut=soundclient.STOP_ALL_SOUNDS)
self.sm.add_state(name='punishment', statetimer=punishmentDuration,
transitions={'Tup': 'readyForNextTrial'},
serialOut= punishsoundOutput)
self.sm.add_state(name='reward', statetimer=timeWaterValve,
transitions={'Tup':'stopReward'},
outputsOn=[rewardOutput])
self.sm.add_state(name='stopReward', statetimer=0,
transitions={'Tup':'lickingPeriod'},
outputsOff=[rewardOutput])
self.sm.add_state(name='lickingPeriod', statetimer=lickingPeriod,
transitions={'Tup':'readyForNextTrial'})
elif taskMode == 'discriminate_stim':
self.sm.add_state(name='startTrial', statetimer=0,
transitions={'Tup':'delayPeriod'},
outputsOff=['centerLED','rightLED','leftLED'])
self.sm.add_state(name='delayPeriod', statetimer=interTrialInterval,
transitions={'Lin':'earlyLickL', 'Rin':'earlyLickR','Tup':'playTarget'})
if lickBeforeStimOffset=='reward':
self.sm.add_state(name='playTarget', statetimer=targetDuration,
transitions={rewardedEvent:'hit', punishedEvent:'error',
'Tup':'waitForLick'},
outputsOn=lightOutput+stimOutput, serialOut=soundOutput)
elif lickBeforeStimOffset=='ignore':
self.sm.add_state(name='playTarget', statetimer=targetDuration,
transitions={punishedEvent:'error', 'Tup':'waitForLick'},
outputsOn=lightOutput+stimOutput, serialOut=soundOutput)
elif lickBeforeStimOffset=='abort':
self.sm.add_state(name='playTarget', statetimer=targetDuration,
transitions={'Lin':'interruptL', 'Rin':'interruptR',
'Tup':'waitForLick'},
outputsOn=lightOutput+stimOutput, serialOut=soundOutput)
elif lickBeforeStimOffset=='punish':
self.sm.add_state(name='playTarget', statetimer=targetDuration,
transitions={'Lin':'interruptPunishL', 'Rin': 'interruptPunishR',
'Tup': 'waitForLick'},
outputsOn=lightOutput+stimOutput, serialOut=soundOutput)
else:
raise ValueError(f'Lick mode: "{lickBeforeStimOffset}" has not been implemented')
self.sm.add_state(name='waitForLick', statetimer=rewardAvailability,
transitions={rewardedEvent:'hit', punishedEvent:'error',
'Tup':'noResponse'},
outputsOff=['centerLED','rightLED','leftLED']+stimOutput)
self.sm.add_state(name='hit', statetimer=0,
transitions={'Tup':'reward'},
outputsOff=['centerLED','rightLED','leftLED']+stimOutput)
self.sm.add_state(name='error', statetimer=0,
transitions={'Tup':'lickingPeriod'},
outputsOff=['centerLED','rightLED','leftLED']+stimOutput)
self.sm.add_state(name='noResponse', statetimer=0,
transitions={'Tup':'readyForNextTrial'})
self.sm.add_state(name='interruptL', statetimer=0,
transitions={'Tup':'readyForNextTrial'},
serialOut=soundclient.STOP_ALL_SOUNDS)
self.sm.add_state(name='interruptR', statetimer=0,
transitions={'Tup':'readyForNextTrial'},
serialOut=soundclient.STOP_ALL_SOUNDS)
self.sm.add_state(name='interruptPunishL', statetimer=0,
transitions={'Tup': 'punishment'},
serialOut=soundclient.STOP_ALL_SOUNDS)
self.sm.add_state(name='interruptPunishR', statetimer=0,
transitions={'Tup': 'punishment'},
serialOut=soundclient.STOP_ALL_SOUNDS)
self.sm.add_state(name='earlyLickL', statetimer=0,
transitions={'Tup':'readyForNextTrial'},
serialOut=soundclient.STOP_ALL_SOUNDS)
self.sm.add_state(name='earlyLickR', statetimer=0,
transitions={'Tup':'readyForNextTrial'},
serialOut=soundclient.STOP_ALL_SOUNDS)
self.sm.add_state(name='punishment', statetimer=punishmentDuration,
transitions={'Tup': 'readyForNextTrial'},
serialOut= punishsoundOutput)
self.sm.add_state(name='reward', statetimer=timeWaterValve,
transitions={'Tup':'stopReward'},
outputsOn=[rewardOutput])
self.sm.add_state(name='stopReward', statetimer=0,
transitions={'Tup':'lickingPeriod'},
outputsOff=[rewardOutput])
self.sm.add_state(name='lickingPeriod', statetimer=lickingPeriod,
transitions={'Tup':'readyForNextTrial'})
#print(self.sm) ### DEBUG
self.dispatcher.set_state_matrix(self.sm)
self.dispatcher.ready_to_start_trial()
def calculate_results(self,trialIndex):
# NOTE: Changes to graphical parameters (like nHits) are saved before calling
# this method. Therefore, those set here will be saved on the next trial.
#taskModeLabels = self.params['taskMode'].get_items()
#firstTrialModeInd = self.params.history['taskMode'][0]
#if taskModeLabels[firstTrialModeInd] == 'water_on_lick':
# self.results['outcome'][trialIndex] = self.results.labels['outcome']['none']
lastRewardSide = self.params['rewardSide'].get_string()
eventsThisTrial = self.dispatcher.events_one_trial(trialIndex)
statesThisTrial = eventsThisTrial[:,2]
if self.params['taskMode'].get_string() in ['lick_on_stim', 'discriminate_stim', 'water_after_sound']:
if self.sm.statesNameToIndex['hit'] in statesThisTrial:
self.params['addedITI'].set_value(0)
if lastRewardSide=='left':
self.params['nHitsLeft'].add(1)
self.results['outcome'][trialIndex] = self.results.labels['outcome']['hit']
self.results['choice'][trialIndex] = self.results.labels['choice']['left']
else:
self.params['nHitsRight'].add(1)
self.results['outcome'][trialIndex] = self.results.labels['outcome']['hit']
self.results['choice'][trialIndex] = self.results.labels['choice']['right']
elif self.sm.statesNameToIndex['error'] in statesThisTrial:
self.params['addedITI'].set_value(self.params['lickingPeriod'].get_value())
if lastRewardSide=='left':
self.params['nErrorsLeft'].add(1)
self.results['outcome'][trialIndex] = self.results.labels['outcome']['error']
self.results['choice'][trialIndex] = self.results.labels['choice']['right']
else:
self.params['nErrorsRight'].add(1)
self.results['outcome'][trialIndex] = self.results.labels['outcome']['error']
self.results['choice'][trialIndex] = self.results.labels['choice']['left']
elif self.sm.statesNameToIndex['interruptL'] in statesThisTrial:
self.params['addedITI'].set_value(self.params['lickingPeriod'].get_value())
self.params['nInterruptsLeft'].add(1)
self.results['outcome'][trialIndex] = self.results.labels['outcome']['interrupt']
self.results['choice'][trialIndex] = self.results.labels['choice']['none']
elif self.sm.statesNameToIndex['interruptR'] in statesThisTrial:
self.params['addedITI'].set_value(self.params['lickingPeriod'].get_value())
self.params['nInterruptsRight'].add(1)
self.results['outcome'][trialIndex] = self.results.labels['outcome']['interrupt']
self.results['choice'][trialIndex] = self.results.labels['choice']['none']
elif self.sm.statesNameToIndex['earlyLickL'] in statesThisTrial:
self.params['addedITI'].set_value(self.params['lickingPeriod'].get_value())
self.params['nEarlyLicksLeft'].add(1)
self.results['outcome'][trialIndex] = self.results.labels['outcome']['punishments']
self.results['choice'][trialIndex] = self.results.labels['choice']['none']
elif self.sm.statesNameToIndex['earlyLickR'] in statesThisTrial:
self.params['addedITI'].set_value(self.params['lickingPeriod'].get_value())
self.params['nEarlyLicksRight'].add(1)
self.results['outcome'][trialIndex] = self.results.labels['outcome']['punishments']
self.results['choice'][trialIndex] = self.results.labels['choice']['none']
elif self.sm.statesNameToIndex['noResponse'] in statesThisTrial:
self.params['addedITI'].set_value(self.params['lickingPeriod'].get_value())
if lastRewardSide=='left':
self.params['nNoResponsesLeft'].add(1)
else:
self.params['nNoResponsesRight'].add(1)
self.results['outcome'][trialIndex] = self.results.labels['outcome']['noResponse']
self.results['choice'][trialIndex] = self.results.labels['choice']['none']
else:
# This may happen if changing from one taskMode to another
self.params['addedITI'].set_value(0)
self.results['outcome'][trialIndex] = self.results.labels['outcome']['none']
self.results['choice'][trialIndex] = self.results.labels['choice']['none']
else:
# -- For any other task modes (like water_on_lick)
self.results['outcome'][trialIndex] = self.results.labels['outcome']['none']
self.results['choice'][trialIndex] = self.results.labels['choice']['none']
# -- Estimate number of licks --
eventCodesThisTrial = eventsThisTrial[:,1]
nLicksLeftThisTrial = np.sum(eventCodesThisTrial==self.sm.eventsDict['Lin'])
nLicksRightThisTrial = np.sum(eventCodesThisTrial==self.sm.eventsDict['Rin'])
self.params['nLicksLeft'].add(nLicksLeftThisTrial)
self.params['nLicksRight'].add(nLicksRightThisTrial)
def execute_automation(self,nextTrial):
automationMode = self.params['automationMode'].get_string()
nHits = self.params['nHitsLeft'].get_value() + self.params['nHitsRight'].get_value()
if automationMode=='increase_delay':
if nHits>0 and self.results['outcome'][nextTrial-1] == self.results.labels['outcome']['hit'] and not nHits%10:
self.params['interTrialIntervalMean'].add(0.050)
def closeEvent(self, event):
'''
Executed when closing the main window.
This method is inherited from QtWidgets.QMainWindow, which explains
its camelCase naming.
'''
self.soundClient.shutdown()
self.dispatcher.die()
event.accept()
if __name__ == '__main__':
(app,paradigm) = paramgui.create_app(Paradigm)