eelbrain.pipeline.MneExperiment.load_epochs¶
-
MneExperiment.
load_epochs
(self, subjects=None, baseline=False, ndvar=True, add_bads=True, reject=True, cat=None, decim=None, pad=0, data_raw=False, vardef=None, data='sensor', trigger_shift=True, tmin=None, tmax=None, tstop=None, interpolate_bads=False, **state)¶ Load a Dataset with epochs for a given epoch definition
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).- baseline : bool | tuple
Apply baseline correction using this period. True to use the epoch’s baseline specification. The default is to not apply baseline correction.
- ndvar : bool | ‘both’
Convert epochs to an NDVar (named ‘meg’ for MEG data and ‘eeg’ for EEG data). Use ‘both’ to include NDVar and MNE Epochs.
- add_bads : bool | 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.
- 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.- cat : sequence of cell-names
Only load data for these cells (cells of model).
- decim : int
Data decimation factor (the default is the factor specified in the epoch definition).
- pad : scalar
Pad the epochs with this much time (in seconds; e.g. for spectral analysis).
- data_raw : bool
Keep the
mne.io.Raw
instance inds.info['raw']
(default False).- vardef : str
Name of a test defining additional variables.
- data : str
Data to load; ‘sensor’ to load all sensor data (default); ‘sensor.rms’ to return RMS over sensors. Only applies to NDVar output.
- trigger_shift : bool
Apply post-baseline trigger-shift if it applies to the epoch (default True).
- tmin : scalar
Override the epoch’s
tmin
parameter.- tmax : scalar
Override the epoch’s
tmax
parameter.- tstop : scalar
Override the epoch’s
tmax
parameter as exclusivetstop
.- interpolate_bads : bool
Interpolate channels marked as bad for the whole recording (useful when comparing topographies across subjects; default False).
- …
Applicable State Parameters:
- raw: preprocessing pipeline
- epoch: which events to use and time window
- rej (trial rejection): which trials to use