mne.simulation.add_chpi#
- mne.simulation.add_chpi(raw, head_pos=None, interp='cos2', n_jobs=None, verbose=None)[source]#
Add cHPI activations to raw data.
- Parameters:
- rawinstance of
Raw
The raw instance to be modified.
- head_pos
None
|str
|dict
|tuple
|array
Name of the position estimates file. Should be in the format of the files produced by MaxFilter. If dict, keys should be the time points and entries should be 4x4
dev_head_t
matrices. If None, the original head position (frominfo['dev_head_t']
) will be used. If tuple, should have the same format as data returned byhead_pos_to_trans_rot_t
. If array, should be of the form returned bymne.chpi.read_head_pos()
.- interp
str
Either ‘hann’, ‘cos2’ (default), ‘linear’, or ‘zero’, the type of forward-solution interpolation to use between forward solutions at different head positions.
- n_jobs
int
|None
The number of jobs to run in parallel. If
-1
, it is set to the number of CPU cores. Requires thejoblib
package.None
(default) is a marker for ‘unset’ that will be interpreted asn_jobs=1
(sequential execution) unless the call is performed under ajoblib.parallel_backend()
context manager that sets another value forn_jobs
.- verbose
bool
|str
|int
|None
Control verbosity of the logging output. If
None
, use the default verbosity level. See the logging documentation andmne.verbose()
for details. Should only be passed as a keyword argument.
- rawinstance of
- Returns:
- rawinstance of
Raw
The instance, modified in place.
- rawinstance of
Notes
New in version 0.18.