eelbrain.pipeline.MneExperiment.load_selected_events
- MneExperiment.load_selected_events(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 ifgroup
is specified).reject (bool | 'keep') – Reject bad trials. If
True
(default), bad trials are removed from the Dataset. Set toFalse
to ignore the trial rejection. Setreject='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 inds.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.