mne.read_cov¶

mne.read_cov(fname, verbose=None)[source]¶

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). If used, it should be passed as a keyword-argument only.

Returns

covCovariance: The noise covariance matrix.

See also

write_cov, compute_covariance, compute_raw_covariance

Examples using `mne.read_cov`¶

Computing a covariance matrix — Computing a covariance matrix¶

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¶

Reading/Writing a noise covariance matrix — Reading/Writing a noise covariance matrix¶

Generate simulated evoked data — Generate simulated evoked data¶

Simulate raw data using subject anatomy — Simulate raw data using subject anatomy¶

Decoding source space data — Decoding source space data¶

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

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¶

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¶

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¶