mne.beamformer.apply_lcmv_epochs¶

mne.beamformer.apply_lcmv_epochs(epochs, filters, max_ori_out='signed', return_generator=False, verbose=None)[source]¶

Apply Linearly Constrained Minimum Variance (LCMV) beamformer weights.

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

Parameters

epochsEpochs: Single trial epochs.
filtersinstance 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’.
return_generatorbool: Return a generator object instead of a list. This allows iterating over the stcs without having to keep them all in memory.
verbosebool, str, int, or None: If not None, override default verbose level (see mne.verbose() and Logging documentation for more). If used, it should be passed as a keyword-argument only.

Returns

stc: list | generator of (SourceEstimate | VolSourceEstimate): The source estimates for all epochs.

See also

make_lcmv, apply_lcmv_raw, apply_lcmv, apply_lcmv_cov

Examples using `mne.beamformer.apply_lcmv_epochs`¶

Source reconstruction using an LCMV beamformer — Source reconstruction using an LCMV beamformer¶

Compute envelope correlations in volume source space — Compute envelope correlations in volume source space¶