mne.minimum_norm.prepare_inverse_operator#

mne.minimum_norm.prepare_inverse_operator(orig, nave, lambda2, method='dSPM', method_params=None, copy=True, verbose=None)[source]#

Prepare an inverse operator for actually computing the inverse.

Parameters:

origdict

The inverse operator structure read from a file.

naveint

Number of averages (scales the noise covariance).

lambda2float

The regularization factor. Recommended to be 1 / SNR**2.

method“MNE” | “dSPM” | “sLORETA” | “eLORETA”

Use minimum norm, dSPM (default), sLORETA, or eLORETA.

method_paramsdict | None

Additional options for eLORETA. See Notes of apply_inverse().

New in version 0.16.

copybool | str

If True (default), copy the inverse. False will not copy. Can be “non-src” to avoid copying the source space, which typically is not modified and can be large in memory.

New in version 0.21.

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:

invinstance of InverseOperator

Prepared inverse operator.