mne.beamformer.trap_music#
- mne.beamformer.trap_music(evoked, forward, noise_cov, n_dipoles=5, return_residual=False, *, verbose=None)[source]#
TRAP-MUSIC source localization method.
Compute Truncated Recursively Applied and Projected MUltiple SIgnal Classification (TRAP-MUSIC) [1] on evoked data.
Note
The goodness of fit (GOF) of all the returned dipoles is the same and corresponds to the GOF of the full set of dipoles.
- Parameters:
- evokedinstance of
Evoked
Evoked data to localize.
- forwardinstance of
Forward
Forward operator.
- noise_covinstance of
Covariance
The noise covariance.
- n_dipoles
int
The number of dipoles to look for. The default value is 5.
- return_residual
bool
If True, the residual is returned as an Evoked instance.
- 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.
- evokedinstance of
- Returns:
See also
Notes
New in version 1.4.
References
Examples using mne.beamformer.trap_music
#
Compute Trap-Music on evoked data