Make grand average of a list of Evoked or AverageTFR data.
For mne.Evoked
data, the function interpolates bad channels based
on the interpolate_bads
parameter. If interpolate_bads
is True,
the grand average file will contain good channels and the bad channels
interpolated from the good MEG/EEG channels.
For mne.time_frequency.AverageTFR
data, the function takes the
subset of channels not marked as bad in any of the instances.
The grand_average.nave
attribute will be equal to the number
of evoked datasets used to calculate the grand average.
Note
A grand average evoked should not be used for source localization.
list
of Evoked
or AverageTFR
The evoked datasets.
If True, bad MEG and EEG channels are interpolated. Ignored for AverageTFR.
If True, drop all bad channels marked as bad in any data set. If neither interpolate_bads nor drop_bads is True, in the output file, every channel marked as bad in at least one of the input files will be marked as bad, but no interpolation or dropping will be performed.
Evoked
| AverageTFR
The grand average data. Same type as input.
Notes
New in version 0.11.0.
mne.grand_average
#The Evoked data structure: evoked/averaged data
EEG analysis - Event-Related Potentials (ERPs)