eelbrain.pipeline.MneExperiment.load_selected_events

MneExperiment.load_selected_events(self, subjects=None, reject=True, add_bads=True, index=True, data_raw=False, vardef=None, cat=None, **kwargs)

Load events and return a subset based on epoch and rejection

Parameters:

subjects : str | 1 | -1

Subject(s) for which to load data. Can be a single subject name or a group name such as 'all'. 1 to use the current subject; -1 for the current group. Default is current subject (or group if group is specified).

reject : bool | ‘keep’

Reject bad trials. If True (default), bad trials are removed from the Dataset. Set to False to ignore the trial rejection. Set reject='keep' to load the rejection (added it to the events as 'accept' variable), but keep bad trails.

add_bads : False | True | list

Add bad channel information to the Raw. If True, bad channel information is retrieved from the bad channels file. Alternatively, a list of bad channels can be specified.

index : bool | str

Index the Dataset before rejection (provide index name as str).

data_raw : bool

Keep the mne.io.Raw instance in ds.info['raw'] (default False).

vardef : str

Name of a test defining additional variables.

cat : sequence of cell-names

Only load data for these cells (cells of model).

…

State parameters.

Notes

When trial rejection is set to automatic, not rejection is performed because no epochs are loaded.