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 | 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:

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