'intervName': dataDB.get_interval_names(),
'datatype': ['bn_trial', 'bn_session'],
'trialType': ['None', 'iGO', 'iNOGO'],
'performance': ['naive', 'expert']
}
# Exclude following parameter combinations
exclQueryLst = [{
'datatype': 'bn_trial',
'intervName': 'PRE'
} # Pre-trial interval not meaningful for bn_trial
]
for nBin in [2]:
for permuteTarget in [False, True]:
randKey = 'rand' if permuteTarget else 'data'
h5outname = 'pid_sych_multimouse_nbin_' + str(
nBin) + '_' + randKey + '.h5'
multiprocess_mouse(dataDB,
mc,
h5outname,
argSweepDict,
exclQueryLst,
'PID',
metric='BivariatePID',
dim=3,
nBin=nBin,
permuteTarget=permuteTarget,
dropChannels=[21])
# Sweep over following parameters
argSweepDict = {
'mousename': dataDB.mice, # ['mvg_4']
'intervName': dataDB.get_interval_names(),
'datatype': ['bn_trial', 'bn_session'],
'trialType': ['None', 'Hit', 'CR']
}
# Exclude following parameter combinations
exclQueryLst = [
{
'datatype': 'bn_trial',
'intervName': 'PRE'
}, # Pre-trial interval not meaningful for bn_trial
#{'mousename' : 'mou_6', 'intervName': 'REW'} # No reward recorded for mouse 6
]
for permuteTarget in [False, True]:
randKey = 'rand' if permuteTarget else 'data'
h5outname = 'pr2_gallerosalas_multimouse_' + randKey + '.h5'
multiprocess_mouse(dataDB,
mc,
h5outname,
argSweepDict,
exclQueryLst,
'PR2',
permuteTarget=permuteTarget,
dropChannels=[16, 26])