This documentation is for development version 0.18.dev0.

mne.beamformer.apply_lcmv

mne.beamformer.apply_lcmv(evoked, filters, max_ori_out='signed', verbose=None)[source]

Apply Linearly Constrained Minimum Variance (LCMV) beamformer weights.

Apply Linearly Constrained Minimum Variance (LCMV) beamformer weights on evoked data.

Parameters:
evoked : Evoked

Evoked data to invert.

filters : instance of Beamformer

LCMV spatial filter (beamformer weights). Filter weights returned from make_lcmv().

max_ori_out: ‘signed’

Specify in case of pick_ori=’max-power’.

verbose : bool, str, int, or None

If not None, override default verbose level (see mne.verbose() and Logging documentation for more).

Returns:
stc : SourceEstimate | VolSourceEstimate | VectorSourceEstimate

Source time courses.