# mne.minimum_norm.make_inverse_operator¶

mne.minimum_norm.make_inverse_operator(info, forward, noise_cov, loose='auto', depth=0.8, fixed='auto', rank=None, use_cps=True, verbose=None)[source]

Assemble inverse operator.

Parameters
infodict

The measurement info to specify the channels to include. Bad channels in info[‘bads’] are not used.

forwarddict

Forward operator.

noise_covinstance of Covariance

The noise covariance matrix.

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.

depth

How to weight (or normalize) the forward using a depth prior. If float (default 0.8), it acts as the depth weighting exponent (exp) to use, which must be between 0 and 1. None is equivalent to 0, meaning no depth weighting is performed. It can also be a dict containing keyword arguments to pass to mne.forward.compute_depth_prior() (see docstring for details and defaults). This is effectively ignored when method='eLORETA'.

Changed in version 0.20: Depth bias ignored for method='eLORETA'.

fixedbool | ‘auto’

Use fixed source orientations normal to the cortical mantle. If True, the loose parameter must be “auto” or 0. If ‘auto’, the loose value is used.

rankNone | dict | ‘info’ | ‘full’

This controls the rank computation that can be read from the measurement info or estimated from the data. See Notes of mne.compute_rank() for details.The default is None.

use_cpsbool

Whether to use cortical patch statistics to define normal orientations for surfaces (default True).

verbose

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

Inverse operator.

Notes

For different sets of options (loose, depth, fixed) to work, the forward operator must have been loaded using a certain configuration (i.e., with force_fixed and surf_ori set appropriately). For example, given the desired inverse type (with representative choices of loose = 0.2 and depth = 0.8 shown in the table in various places, as these are the defaults for those parameters):

Inverse desired

Forward parameters allowed

loose

depth

fixed

force_fixed

surf_ori

Loose constraint,
Depth weighted

0.2

0.8

False

False

True

Loose constraint

0.2

None

False

False

True

Free orientation,
Depth weighted

1.0

0.8

False

False

True

Free orientation

1.0

None

False

False

True | False

Fixed constraint,
Depth weighted

0.0

0.8

True

False

True

Fixed constraint

0.0

None

True

True

True

Also note that, if the source space (as stored in the forward solution) has patch statistics computed, these are used to improve the depth weighting. Thus slightly different results are to be expected with and without this information.