mne.spatio_temporal_tris_connectivity¶

mne.spatio_temporal_tris_connectivity(tris, n_times, remap_vertices=False, verbose=None)[source]¶

Compute connectivity from triangles and time instants.

Parameters:

Parameters:	tris : array N x 3 array defining triangles. n_times : int Number of time points remap_vertices : bool Reassign vertex indices based on unique values. Useful to process a subset of triangles. Defaults to False. verbose : bool, str, int, or None If not None, override default verbose level (see `mne.verbose()` and Logging documentation for more).
Returns:	connectivity : sparse COO matrix The connectivity matrix describing the spatio-temporal graph structure. If N is the number of vertices in the source space, the N first nodes in the graph are the vertices are time 1, the nodes from 2 to 2N are the vertices during time 2, etc.

tris : array

N x 3 array defining triangles.

n_times : int

Number of time points

remap_vertices : bool

Reassign vertex indices based on unique values. Useful to process a subset of triangles. Defaults to False.

verbose : bool, str, int, or None

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

Returns:

connectivity : sparse COO matrix

The connectivity matrix describing the spatio-temporal graph structure. If N is the number of vertices in the source space, the N first nodes in the graph are the vertices are time 1, the nodes from 2 to 2N are the vertices during time 2, etc.