def load(subject, event_type):
with open(op.join(path_data, '%s/behavior_%s.pkl') % (subject, event_type), 'rb') as f:
events = pickle.load(f)
# add explicit conditions
events = complete_behavior(events)
epochs = mne.read_epochs(op.join(path_data, '%s/epochs_%s.fif') % (subject, event_type))
if event_type == 'Target':
epochs.crop(0, .600)
elif event_type == 'Cue':
epochs.crop(0, .900)
elif event_type == 'Probe':
epochs.crop(0, .600)
return epochs, events
def load(subject, event_type):
fname = op.join(path_data, '%s/behavior_%s.hdf5') % (subject, event_type)
events = read_hdf5(fname)
# add explicit conditions
events = complete_behavior(events)
fname = op.join(path_data, '%s/epochs_%s.fif') % (subject, event_type)
epochs = mne.read_epochs(fname)
if event_type == 'Target':
epochs.crop(0, .600)
elif event_type == 'Cue':
epochs.crop(0, .900)
elif event_type == 'Probe':
epochs.crop(0, .600)
return epochs, events