mne.viz.plot_sensors_connectivity

mne.viz.plot_sensors_connectivity(info, con, picks=None)

Visualize the sensor connectivity in 3D.

Parameters

infodict | None

The measurement info.

conarray, shape (n_channels, n_channels)

The computed connectivity measure(s).

picksstr | list | slice | None

Channels to include. Slices and lists of integers will be interpreted as channel indices. In lists, channel type strings (e.g., ['meg', 'eeg']) will pick channels of those types, channel name strings (e.g., ['MEG0111', 'MEG2623'] will pick the given channels. Can also be the string values “all” to pick all channels, or “data” to pick data channels. None (default) will pick good data channels. Note that channels in info['bads'] will be included if their names or indices are explicitly provided. Indices of selected channels.

Returns

figinstance of mayavi.mlab.Figure

The mayavi figure.

Examples using mne.viz.plot_sensors_connectivity

Compute all-to-all connectivity in sensor space