mne.beamformer.apply_dics_tfr_epochs#

mne.beamformer.apply_dics_tfr_epochs(epochs_tfr, filters, return_generator=False, verbose=None)[source]#

Apply Dynamic Imaging of Coherent Sources (DICS) beamformer weights.

Apply Dynamic Imaging of Coherent Sources (DICS) beamformer weights on single trial time-frequency data.

Parameters:
epochs_tfrEpochsTFR

Single trial time-frequency epochs.

filtersinstance of Beamformer

DICS spatial filter (beamformer weights) Filter weights returned from make_dics().

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 | None

Control verbosity of the logging output. If None, use the default verbosity level. See the logging documentation and mne.verbose() for details. Should only be passed as a keyword argument.

Returns:
stcslist of list of (SourceEstimate | VectorSourceEstimate | VolSourceEstimate)

The source estimates for all epochs (outside list) and for all frequencies (inside list).

Examples using mne.beamformer.apply_dics_tfr_epochs#

Compute source level time-frequency timecourses using a DICS beamformer

Compute source level time-frequency timecourses using a DICS beamformer

Compute source level time-frequency timecourses using a DICS beamformer