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, 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
invinstance of InverseOperator

Prepared inverse operator.