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 | 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

Computing a covariance matrix

The role of dipole orientations in distributed source localization

Computing various MNE solutions

Reading/Writing a noise covariance matrix

Generate simulated evoked data

Simulate raw data using subject anatomy

Cortical Signal Suppression (CSS) for removal of cortical signals

Decoding source space data

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 with a mixed source space

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

Compute cross-talk functions for LCMV beamformers

Compute Rap-Music on evoked data

Compute spatial resolution metrics in source space

Compute spatial resolution metrics to compare MEG with EEG+MEG

Computing source space SNR

Compute MxNE with time-frequency sparse prior

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