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    • mne.read_cov
      • Examples using mne.read_cov

    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).

    Returns
    covCovariance

    The noise covariance matrix.

    See also

    write_cov, compute_covariance, compute_raw_covariance

    Examples using mne.read_cov¶

    ../_images/sphx_glr_plot_read_noise_covariance_matrix_thumb.png

    Reading/Writing a noise covariance matrix¶

    ../_images/sphx_glr_plot_simulate_evoked_data_thumb.png

    Generate simulated evoked data¶

    ../_images/sphx_glr_plot_simulated_raw_data_using_subject_anatomy_thumb.png

    Simulate raw data using subject anatomy¶

    ../_images/sphx_glr_plot_decoding_spatio_temporal_source_thumb.png

    Decoding source space data¶

    ../_images/sphx_glr_plot_mixed_source_space_connectivity_thumb.png

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

    ../_images/sphx_glr_plot_custom_inverse_solver_thumb.png

    Source localization with a custom inverse solver¶

    ../_images/sphx_glr_plot_gamma_map_inverse_thumb.png

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

    ../_images/sphx_glr_plot_mixed_norm_inverse_thumb.png

    Compute sparse inverse solution with mixed norm: MxNE and irMxNE¶

    ../_images/sphx_glr_plot_mixed_source_space_inverse_thumb.png

    Compute MNE inverse solution on evoked data in a mixed source space¶

    ../_images/sphx_glr_plot_rap_music_thumb.png

    Compute Rap-Music on evoked data¶

    ../_images/sphx_glr_plot_time_frequency_mixed_norm_inverse_thumb.png

    Compute MxNE with time-frequency sparse prior¶

    ../_images/sphx_glr_plot_compute_covariance_thumb.png

    Computing a covariance matrix¶

    ../_images/sphx_glr_plot_dipole_orientations_thumb.png

    The role of dipole orientations in distributed source localization¶

    ../_images/sphx_glr_plot_mne_solutions_thumb.png

    Computing various MNE solutions¶

    Massachusetts General Hospital Athinoula A. Martinos Center for Biomedical Imaging Harvard Medical School Massachusetts Institute of Technology New York University Commissariat à l´énergie atomique et aux énergies alternatives Aalto-yliopiston perustieteiden korkeakoulu Télécom ParisTech University of Washington Institut du Cerveau et de la Moelle épinière Boston University Institut national de la santé et de la recherche médicale Forschungszentrum Jülich Technische Universität Ilmenau Berkeley Institute for Data Science Institut national de recherche en informatique et en automatique Aarhus Universitet Karl-Franzens-Universität Graz
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    © Copyright 2012-2019, MNE Developers. Last updated on 2019-10-18.