mne.bem.ConductorModel#
- class mne.bem.ConductorModel[source]#
BEM or sphere model.
See
make_bem_model()
andmake_bem_solution()
to create amne.bem.ConductorModel
.- Attributes:
radius
Sphere radius if an EEG sphere model.
Methods
__contains__
(key, /)True if the dictionary has the specified key, else False.
__getitem__
(key, /)Return self[key].
__iter__
(/)Implement iter(self).
__len__
(/)Return len(self).
clear
()copy
()Return copy of ConductorModel instance.
fromkeys
(iterable[, value])Create a new dictionary with keys from iterable and values set to value.
get
(key[, default])Return the value for key if key is in the dictionary, else default.
items
()keys
()pop
(key[, default])If the key is not found, return the default if given; otherwise, raise a KeyError.
popitem
(/)Remove and return a (key, value) pair as a 2-tuple.
setdefault
(key[, default])Insert key with a value of default if key is not in the dictionary.
update
([E, ]**F)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]
values
()- __contains__(key, /)#
True if the dictionary has the specified key, else False.
- __getitem__(key, /)#
Return self[key].
- __iter__(/)#
Implement iter(self).
- __len__(/)#
Return len(self).
- clear() None. Remove all items from D. #
- fromkeys(iterable, value=None, /)#
Create a new dictionary with keys from iterable and values set to value.
- get(key, default=None, /)#
Return the value for key if key is in the dictionary, else default.
- items() a set-like object providing a view on D's items #
- keys() a set-like object providing a view on D's keys #
- pop(key, default=<unrepresentable>, /)#
If the key is not found, return the default if given; otherwise, raise a KeyError.
- popitem(/)#
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.
- property radius#
Sphere radius if an EEG sphere model.
- setdefault(key, default=None, /)#
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.
- update([E, ]**F) None. Update D from dict/iterable E and F. #
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]
- values() an object providing a view on D's values #
Examples using 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