mne.read_cov#
- mne.read_cov(fname, verbose=None)[source]#
Read a noise covariance from a FIF file.
- Parameters
- fnamepath-like
The path-like of file containing the covariance matrix. It should end with
-cov.fif
or-cov.fif.gz
.- verbose
bool
|str
|int
|None
Control verbosity of the logging output. If
None
, use the default verbosity level. See the logging documentation andmne.verbose()
for details. Should only be passed as a keyword argument.
- Returns
- cov
Covariance
The noise covariance matrix.
- cov
See also
Examples using mne.read_cov
#

The role of dipole orientations in distributed source localization

Cortical Signal Suppression (CSS) for removal of cortical signals

Compute a sparse inverse solution using the Gamma-MAP empirical Bayesian method

Compute sparse inverse solution with mixed norm: MxNE and irMxNE

Compute MNE inverse solution on evoked data with a mixed source space

Computing source timecourses with an XFit-like multi-dipole model

Plot point-spread functions (PSFs) and cross-talk functions (CTFs)

Compute spatial resolution metrics in source space

Compute spatial resolution metrics to compare MEG with EEG+MEG