This documentation is for development version 0.18.dev0.

mne.beamformer.apply_lcmv_raw

mne.beamformer.apply_lcmv_raw(raw, filters, start=None, stop=None, max_ori_out='signed', verbose=None)[source]

Apply Linearly Constrained Minimum Variance (LCMV) beamformer weights.

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

NOTE : This implementation has not been heavily tested so please report any issue or suggestions.

Parameters:
raw : mne.io.Raw

Raw data to invert.

filters : instance of Beamformer

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

start : int

Index of first time sample (index not time is seconds).

stop : int

Index of first time sample not to include (index not time is seconds).

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

Source time courses.