eelbrain.load.fiff.sensor_dim

eelbrain.load.fiff.sensor_dim(info, picks=None, sysname=None, connectivity=None)

Create a Sensor dimension from an mne.Info object.

Parameters:
info : mne.Info

Measurement info dictionary (or mne-python object that has a .info attribute that contains measurement info).

picks : array of int

Channel picks (as used in mne-python). By default all MEG and EEG channels are included.

sysname : str

Name of the sensor system to load sensor connectivity (e.g. ‘neuromag’, inferred automatically for KIT data converted with a recent version of MNE-Python).

connectivity : str | list of (str, str) | array of int, (n_edges, 2)

Connectivity between elements. Can be specified as:

  • "none" for no connections
  • list of connections (e.g., [('OZ', 'O1'), ('OZ', 'O2'), ...])
  • numpy.ndarray of int, shape (n_edges, 2), to specify connections in terms of indices. Each row should specify one connection [i, j] with i < j. If the array’s dtype is uint32, property checks are disabled to improve efficiency.
  • "grid" to use adjacency in the sensor names

If unspecified, it is inferred from sysname if possible.
Returns:
sensor_dim : Sensor

Sensor dimension object.