mne.forward.compute_orient_prior#

mne.forward.compute_orient_prior(forward, loose='auto', verbose=None)[source]#

Compute orientation prior.

Parameters:

forwardinstance of Forward

Forward operator.

loosefloat | ‘auto’ | dict

Value that weights the source variances of the dipole components that are parallel (tangential) to the cortical surface. Can be:

float between 0 and 1 (inclusive)
If 0, then the solution is computed with fixed orientation. If 1, it corresponds to free orientations.
'auto' (default)
Uses 0.2 for surface source spaces (unless fixed is True) and 1.0 for other source spaces (volume or mixed).
dict
Mapping from the key for a given source space type (surface, volume, discrete) to the loose value. Useful mostly for mixed source spaces.

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:

orient_priorndarray, shape (n_sources,): Orientation priors.