mne.preprocessing.compute_current_source_density#
- mne.preprocessing.compute_current_source_density(inst, sphere='auto', lambda2=1e-05, stiffness=4, n_legendre_terms=50, copy=True, *, verbose=None)[source]#
Get the current source density (CSD) transformation.
Transformation based on spherical spline surface Laplacian [1][2][3][4].
This function can be used to re-reference the signal using a Laplacian (LAP) “reference-free” transformation.
- Parameters:
- instinstance of
Raw
,Epochs
orEvoked
The data to be transformed.
- spherearray_like, shape (4,) |
str
The sphere, head-model of the form (x, y, z, r) where x, y, z is the center of the sphere and r is the radius in meters. Can also be “auto” to use a digitization-based fit.
- lambda2
float
Regularization parameter, produces smoothness. Defaults to 1e-5.
- stiffness
float
Stiffness of the spline.
- n_legendre_terms
int
Number of Legendre terms to evaluate.
- copy
bool
Whether to overwrite instance data or create a copy.
- 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.
- instinstance of
- Returns:
Notes
New in version 0.20.
References
Examples using mne.preprocessing.compute_current_source_density
#
Transform EEG data using current source density (CSD)