mne.inverse_sparse.make_stc_from_dipoles¶

mne.inverse_sparse.make_stc_from_dipoles(dipoles, src, verbose=None)[source]¶

Convert a list of spatio-temporal dipoles into a SourceEstimate.

Parameters

dipolesDipole | list of instances of Dipole: The dipoles to convert.
srcinstance of SourceSpaces: The source space used to generate the forward operator.
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

stcSourceEstimate: The source estimate.

Examples using `mne.inverse_sparse.make_stc_from_dipoles`¶

Compute a sparse inverse solution using the Gamma-MAP empirical Bayesian method — Compute a sparse inverse solution using the Gamma-MAP empirical Bayesian method¶

Compute sparse inverse solution with mixed norm: MxNE and irMxNE — Compute sparse inverse solution with mixed norm: MxNE and irMxNE¶

Compute iterative reweighted TF-MxNE with multiscale time-frequency dictionary — Compute iterative reweighted TF-MxNE with multiscale time-frequency dictionary¶

Compute MxNE with time-frequency sparse prior — Compute MxNE with time-frequency sparse prior¶