mne.minimum_norm.make_inverse_resolution_matrix

mne.minimum_norm.make_inverse_resolution_matrix(forward, inverse_operator, method='dSPM', lambda2=0.1111111111111111, verbose=None)[source]

Compute resolution matrix for linear inverse operator.

Parameters
forwardinstance of Forward

Forward Operator.

inverse_operatorinstance of InverseOperator

Inverse operator.

method‘MNE’ | ‘dSPM’ | ‘sLORETA’

Inverse method to use (MNE, dSPM, sLORETA).

lambda2float

The regularisation parameter.

verbosebool, str, int, or None

If not None, override default verbose level (see mne.verbose() and Logging documentation for more).

Returns
resmat: array, shape (n_orient_inv * n_dipoles, n_orient_fwd * n_dipoles)

Resolution matrix (inverse operator times forward operator). The result of applying the inverse operator to the forward operator. If source orientations are not fixed, all source components will be computed (i.e. for n_orient_inv > 1 or n_orient_fwd > 1). The columns of the resolution matrix are the point-spread functions (PSFs) and the rows are the cross-talk functions (CTFs).