Paradigms

A paradigm defines how the raw data will be converted to trials ready to be processed by a decoding algorithm.

This is a function of the paradigm used, i.e. in motor imagery one can have two-class, multi-class, or continuous paradigms; similarly, different preprocessing is necessary for ERP vs ERD paradigms.

Motor Imagery Paradigms

MotorImagery([n_classes])	N-class motor imagery.
LeftRightImagery(**kwargs)	Motor Imagery for left hand/right hand classification.
FilterBankLeftRightImagery(**kwargs)	Filter Bank Motor Imagery for left hand/right hand classification.
FilterBankMotorImagery([n_classes])	Filter bank n-class motor imagery.

P300 Paradigms

SinglePass([fmin, fmax])	Single Bandpass filter P300.
P300(**kwargs)	P300 for Target/NonTarget classification.

SSVEP Paradigms

SSVEP([fmin, fmax])	Single bandpass filter SSVEP.
FilterBankSSVEP([filters])	Filtered bank n-class SSVEP paradigm.

c-VEP Paradigms

CVEP([fmin, fmax])	Single bandpass c-VEP paradigm for epoch-level decoding.
FilterBankCVEP([filters])	Filterbank c-VEP paradigm for epoch-level decoding.

Resting state Paradigms

RestingStateToP300Adapter([fmin, fmax, ...])

Adapter to the P300 paradigm for resting state experiments.

Fixed Interval Windows Processings

FixedIntervalWindowsProcessing([fmin, fmax, ...])	Fixed interval windows processing.
FilterBankFixedIntervalWindowsProcessing([...])	Filter bank fixed interval windows processing.

Base & Utils

motor_imagery.BaseMotorImagery([filters, ...])	Base Motor imagery paradigm.
motor_imagery.SinglePass([fmin, fmax])	Single Bandpass filter motor Imagery.
motor_imagery.FilterBank([filters])	Filter Bank MI.
p300.BaseP300([filters, events, tmin, tmax, ...])	Base P300 paradigm.
ssvep.BaseSSVEP([filters, events, ...])	Base SSVEP Paradigm.
BaseFixedIntervalWindowsProcessing([...])	Base class for fixed interval windows processing.
base.BaseParadigm(filters[, events, tmin, ...])	Base class for paradigms.
base.BaseProcessing(filters[, tmin, tmax, ...])	Base Processing.