ibllib.io.extractors.biased_trials

Functions

extract_all

Same as training_trials.extract_all except...

Classes

ContrastLR	Get left and right contrasts from raw datafile.
ProbaContrasts	Bpod pre-generated values for probabilityLeft, contrastLR, phase, quiescence
TrialsTableBiased	Extracts the following into a table from Bpod raw data:
TrialsTableEphys	Extracts the following into a table from Bpod raw data:

class ContrastLR(session_path=None)

Bases: BaseBpodTrialsExtractor

Get left and right contrasts from raw datafile.

save_names = ('_ibl_trials.contrastLeft.npy', '_ibl_trials.contrastRight.npy')

var_names = ('contrastLeft', 'contrastRight')

class ProbaContrasts(session_path=None)

Bases: BaseBpodTrialsExtractor

Bpod pre-generated values for probabilityLeft, contrastLR, phase, quiescence

save_names = ('_ibl_trials.contrastLeft.npy', '_ibl_trials.contrastRight.npy', None, None, '_ibl_trials.probabilityLeft.npy', None)

var_names = ('contrastLeft', 'contrastRight', 'phase', 'position', 'probabilityLeft', 'quiescence')

static get_pregenerated_events(bpod_trials, settings)

class TrialsTableBiased(session_path=None)

Bases: BaseBpodTrialsExtractor

Extracts the following into a table from Bpod raw data:

intervals, goCue_times, response_times, choice, stimOn_times, contrastLeft, contrastRight, feedback_times, feedbackType, rewardVolume, probabilityLeft, firstMovement_times

Additionally extracts the following wheel data:

wheel_timestamps, wheel_position, wheel_moves_intervals, wheel_moves_peak_amplitude

save_names = ('_ibl_trials.table.pqt', None, None, '_ibl_wheel.timestamps.npy', '_ibl_wheel.position.npy', '_ibl_wheelMoves.intervals.npy', '_ibl_wheelMoves.peakAmplitude.npy', None, None)

var_names = ('table', 'stimOff_times', 'stimFreeze_times', 'wheel_timestamps', 'wheel_position', 'wheel_moves_intervals', 'wheel_moves_peak_amplitude', 'peakVelocity_times', 'is_final_movement')

class TrialsTableEphys(session_path=None)

Bases: BaseBpodTrialsExtractor

Extracts the following into a table from Bpod raw data:

intervals, goCue_times, response_times, choice, stimOn_times, contrastLeft, contrastRight, feedback_times, feedbackType, rewardVolume, probabilityLeft, firstMovement_times

Additionally extracts the following wheel data:

wheel_timestamps, wheel_position, wheel_moves_intervals, wheel_moves_peak_amplitude

save_names = ('_ibl_trials.table.pqt', None, None, '_ibl_wheel.timestamps.npy', '_ibl_wheel.position.npy', '_ibl_wheelMoves.intervals.npy', '_ibl_wheelMoves.peakAmplitude.npy', None, None, None, None, None)

var_names = ('table', 'stimOff_times', 'stimFreeze_times', 'wheel_timestamps', 'wheel_position', 'wheel_moves_intervals', 'wheel_moves_peak_amplitude', 'peakVelocity_times', 'is_final_movement', 'phase', 'position', 'quiescence')

extract_all(session_path, save=False, bpod_trials=False, settings=False, extra_classes=None)

Same as training_trials.extract_all except…

• there is no RepNum

• ContrastLR is extracted differently

• IncludedTrials is only extracted for 5.0.0 or greater

Parameters

• session_path –

• save –

• bpod_trials –

• settings –

• extra_classes – additional BaseBpodTrialsExtractor subclasses for custom extractions

Returns