BEM or sphere model.
radius
Sphere radius if an EEG sphere model.
Methods
|
True if the dictionary has the specified key, else False. |
x.__getitem__(y) <==> x[y] |
|
|
Implement iter(self). |
|
Return len(self). |
|
|
|
Return copy of ConductorModel instance. |
|
Create a new dictionary with keys from iterable and values set to value. |
|
Return the value for key if key is in the dictionary, else default. |
|
|
|
|
|
If key is not found, d is returned if given, otherwise KeyError is raised |
|
Remove and return a (key, value) pair as a 2-tuple. |
|
Insert key with a value of default if key is not in the dictionary. |
|
If E is present and has a .keys() method, then does: for k in E: D[k] = E[k] If E is present and lacks a .keys() method, then does: for k, v in E: D[k] = v In either case, this is followed by: for k in F: D[k] = F[k] |
|
True if the dictionary has the specified key, else False.
x.__getitem__(y) <==> x[y]
Implement iter(self).
Return len(self).
Create a new dictionary with keys from iterable and values set to value.
Return the value for key if key is in the dictionary, else default.
If key is not found, d is returned if given, otherwise KeyError is raised
Remove and return a (key, value) pair as a 2-tuple.
Pairs are returned in LIFO (last-in, first-out) order. Raises KeyError if the dict is empty.
Sphere radius if an EEG sphere model.
Insert key with a value of default if key is not in the dictionary.
Return the value for key if key is in the dictionary, else default.
If E is present and has a .keys() method, then does: for k in E: D[k] = E[k] If E is present and lacks a .keys() method, then does: for k, v in E: D[k] = v In either case, this is followed by: for k in F: D[k] = F[k]
mne.bem.ConductorModel
#Source alignment and coordinate frames
Head model and forward computation
EEG forward operator with a template MRI
Brainstorm Elekta phantom dataset tutorial
Brainstorm CTF phantom dataset tutorial
4D Neuroimaging/BTi phantom dataset tutorial
Computing source timecourses with an XFit-like multi-dipole model
Optically pumped magnetometer (OPM) data