mne.minimum_norm.apply_inverse_epochs¶
-
mne.minimum_norm.
apply_inverse_epochs
(epochs, inverse_operator, lambda2, method='dSPM', label=None, nave=1, pick_ori=None, return_generator=False, prepared=False, method_params=None, verbose=None)[source]¶ Apply inverse operator to Epochs.
- Parameters
- epochs
Epochs
object Single trial epochs.
- inverse_operator
dict
Inverse operator.
- lambda2
float
The regularization parameter.
- method“MNE” | “dSPM” | “sLORETA” | “eLORETA”
Use minimum norm, dSPM (default), sLORETA, or eLORETA.
- label
Label
|None
Restricts the source estimates to a given label. If None, source estimates will be computed for the entire source space.
- nave
int
Number of averages used to regularize the solution. Set to 1 on single Epoch by default.
- pick_ori
None
| “normal” | “vector” If “normal”, rather than pooling the orientations by taking the norm, only the radial component is kept. This is only implemented when working with loose orientations. If “vector”, no pooling of the orientations is done and the vector result will be returned in the form of a
mne.VectorSourceEstimate
object. This does not work when using an inverse operator with fixed orientations.- return_generatorbool
Return a generator object instead of a list. This allows iterating over the stcs without having to keep them all in memory.
- preparedbool
If True, do not call
prepare_inverse_operator()
.- method_params
dict
|None
Additional options for eLORETA. See Notes of
apply_inverse()
.New in version 0.16.
- verbosebool,
str
,int
, orNone
If not None, override default verbose level (see
mne.verbose()
and Logging documentation for more).
- epochs
- Returns
- stc
list
of (SourceEstimate
|VectorSourceEstimate
|VolSourceEstimate
) The source estimates for all epochs.
- stc
See also
apply_inverse_raw
Apply inverse operator to raw object
apply_inverse
Apply inverse operator to evoked object