mne.minimum_norm.prepare_inverse_operator¶

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

Prepare an inverse operator for actually computing the inverse.

Parameters:

orig : dict The inverse operator structure read from a file. nave : int Number of averages (scales the noise covariance). lambda2 : float The regularization factor. Recommended to be 1 / SNR**2. method : “MNE” | “dSPM” | “sLORETA” | “eLORETA” Use minimum norm, dSPM (default), sLORETA, or eLORETA. method_params : dict | None Additional options for eLORETA. See Notes of apply_inverse(). New in version 0.16. verbose : bool, str, int, or None If not None, override default verbose level (see mne.verbose() and Logging documentation for more).

Returns:

inv : instance of InverseOperator Prepared inverse operator.