moabb.paradigms.ssvep.BaseSSVEP

class moabb.paradigms.ssvep.BaseSSVEP(filters=((7, 45),), events=None, n_classes=None, tmin=0.0, tmax=None, baseline=None, channels=None, resample=None, scorer=None)

Base SSVEP Paradigm.

Parameters:

• filters (list of list | None (default ((7, 45),))) – Bank of bandpass filter to apply.

• n_classes (int or None (default None)) – Number of classes each dataset must have. All dataset classes if None.

property datasets

List of datasets valid for the paradigm.

is_valid(dataset)

Check if dataset is valid for the SSVEP paradigm.

prepare_process(dataset)

Prepare dataset for processing, and using events if needed.

This function is called before the processing function, and is used to prepare the dataset for processing. This includes: get the events used for the paradigm, and set the filters if needed.

Parameters:

dataset (moabb.datasets.base.BaseDataset) – Dataset to prepare.

property scoring

Return the scoring method for this paradigm.

By default, if n_classes use the roc_auc, else use accuracy. More details about this default scoring method can be found in the original moabb paper.

used_events(dataset)

Return the mne events used for the dataset.