| 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_generator : bool
Return a generator object instead of a list. This allows iterating
over the stcs without having to keep them all in memory.
- prepared : bool
If True, do not call prepare_inverse_operator().
- method_params : dict | None
Additional options for eLORETA. See Notes of apply_inverse().
- verbose : bool, str, int, or None
If not None, override default verbose level (see mne.verbose()
and Logging documentation for more).
|
|---|
