Parameters: |
- input_fname : str
Path to the sqd file.
- events : array, shape (n_events, 3)
The events typically returned by the read_events function.
If some events don’t match the events of interest as specified
by event_id, they will be marked as ‘IGNORED’ in the drop log.
- event_id : int | list of int | dict | None
The id of the event to consider. If dict,
the keys can later be used to access associated events. Example:
dict(auditory=1, visual=3). If int, a dict will be created with
the id as string. If a list, all events with the IDs specified
in the list are used. If None, all events will be used with
and a dict is created with string integer names corresponding
to the event id integers.
- mrk : None | str | array_like, shape (5, 3) | list of str or array_like
Marker points representing the location of the marker coils with
respect to the MEG Sensors, or path to a marker file.
If list, all of the markers will be averaged together.
- elp : None | str | array_like, shape (8, 3)
Digitizer points representing the location of the fiducials and the
marker coils with respect to the digitized head shape, or path to a
file containing these points.
- hsp : None | str | array, shape (n_points, 3)
Digitizer head shape points, or path to head shape file. If more than
10,000 points are in the head shape, they are automatically decimated.
- allow_unknown_format : bool
Force reading old data that is not officially supported. Alternatively,
read and re-save the data with the KIT MEG Laboratory application.
- verbose : bool, str, int, or None
If not None, override default verbose level (see mne.verbose()
and Logging documentation for more).
|