mne.combine_evoked¶

mne.
combine_evoked
(all_evoked, weights)[source]¶ Merge evoked data by weighted addition or subtraction.
Each
Evoked
inall_evoked
should have the same channels and the same time instants. Subtraction can be performed by passingweights=[1, 1]
.Warning
Other than cases like simple subtraction mentioned above (where all weights are 1 or 1), if you provide numeric weights instead of using
'equal'
or'nave'
, the resultingEvoked
object’s.nave
attribute (which is used to scale noise covariance when applying the inverse operator) may not be suitable for inverse imaging. Parameters
 all_evoked
list
ofEvoked
The evoked datasets.
 weights
list
offloat
 ‘equal’  ‘nave’ The weights to apply to the data of each evoked instance, or a string describing the weighting strategy to apply:
'nave'
computes sumtoone weights proportional to each object’snave
attribute;'equal'
weights eachEvoked
by1 / len(all_evoked)
.
 all_evoked
 Returns
 evoked
Evoked
The new evoked data.
 evoked
Notes
New in version 0.9.0.