Parameters: |
- epochs : Epochs
Single trial epochs.
- forward : dict
Forward operator.
- noise_cov : Covariance
The noise covariance. If provided, whitening will be done. Providing a
noise covariance is mandatory if you mix sensor types, e.g.
gradiometers with magnetometers or EEG with MEG.
- data_cov : Covariance
The data covariance.
- reg : float
The regularization for the whitened data covariance.
- label : Label
Restricts the LCMV solution to a given label.
- pick_ori : None | ‘normal’ | ‘max-power’
If ‘normal’, rather than pooling the orientations by taking the norm,
only the radial component is kept. If ‘max-power’, the source
orientation that maximizes output source power is chosen.
If None, the solution depends on the forward model: if the orientation
is fixed, a scalar beamformer is computed. If the forward model has
free orientation, a vector beamformer is computed, combining the output
for all source 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.
- rank : None | int | dict
Specified rank of the noise covariance matrix. If None, the rank is
detected automatically. If int, the rank is specified for the MEG
channels. A dictionary with entries ‘eeg’ and/or ‘meg’ can be used
to specify the rank for each modality.
- weight_norm : ‘unit-noise-gain’ | ‘nai’ | None
If ‘unit-noise-gain’, the unit-noise gain minimum variance beamformer
will be computed (Borgiotti-Kaplan beamformer) [2],
if ‘nai’, the Neural Activity Index [1] will be computed,
if None, the unit-gain LCMV beamformer [2] will be computed.
- max_ori_out: ‘signed’
Specify in case of pick_ori=’max-power’.
- reduce_rank : bool
If True, the rank of the leadfield will be reduced by 1 for each
spatial location. Setting reduce_rank to True is typically necessary
if you use a sphere model for MEG as in this case the actual
rank is 2 not 3.
- verbose : bool, str, int, or None
If not None, override default verbose level (see mne.verbose()
and Logging documentation for more).
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