mne.read_cov

mne.read_cov(fname, verbose=None)

Read a noise covariance from a FIF file.

Parameters

fnamestr

The name of file containing the covariance matrix. It should end with -cov.fif or -cov.fif.gz.

verbosebool, str, int, or None

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

Returns

covCovariance

The noise covariance matrix.

See also

write_cov, compute_covariance, compute_raw_covariance

Examples using mne.read_cov

Reading/Writing a noise covariance matrix

Generate simulated evoked data

Simulate raw data using subject anatomy

Decoding source space data

Compute mixed source space connectivity and visualize it using a circular graph

Source localization with a custom inverse solver

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 in a mixed source space

Compute Rap-Music on evoked data

Compute MxNE with time-frequency sparse prior

Computing a covariance matrix

The role of dipole orientations in distributed source localization

Computing various MNE solutions