mne.read_cov

mne.read_cov(fname, verbose=None)

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.

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:

covCovariance

The noise covariance matrix.

See also

write_cov, compute_covariance, compute_raw_covariance

Examples using mne.read_cov

Decoding source space data

Decoding source space data

Source localization with a custom inverse solver

Source localization with a custom inverse solver

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

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

Compute sparse inverse solution with mixed norm: MxNE and irMxNE

Compute sparse inverse solution with mixed norm: MxNE and irMxNE

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

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

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

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

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

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

Compute cross-talk functions for LCMV beamformers

Compute cross-talk functions for LCMV beamformers

Plot point-spread functions (PSFs) for a volume

Plot point-spread functions (PSFs) for a volume

Compute Rap-Music on evoked data

Compute Rap-Music on evoked data

Compute spatial resolution metrics in source space

Compute spatial resolution metrics in source space

Compute spatial resolution metrics to compare MEG with EEG+MEG

Compute spatial resolution metrics to compare MEG with EEG+MEG

Computing source space SNR

Computing source space SNR

Compute MxNE with time-frequency sparse prior

Compute MxNE with time-frequency sparse prior

Compute Trap-Music on evoked data

Compute Trap-Music on evoked data

Reading/Writing a noise covariance matrix

Reading/Writing a noise covariance matrix

Cortical Signal Suppression (CSS) for removal of cortical signals

Cortical Signal Suppression (CSS) for removal of cortical signals

Generate simulated evoked data

Generate simulated evoked data

Simulate raw data using subject anatomy

Simulate raw data using subject anatomy

The role of dipole orientations in distributed source localization

The role of dipole orientations in distributed source localization

Computing various MNE solutions

Computing various MNE solutions