mne.bem.ConductorModel

class mne.bem.ConductorModel

BEM or sphere model.

Attributes

radius

Sphere radius if an EEG sphere model.

Methods

__contains__(key, /)	True if the dictionary has the specified key, else False.
__getitem__	x.__getitem__(y) <==> x[y]
__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(k[,d])	If key is not found, d is returned if given, otherwise KeyError is raised
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__()

x.__getitem__(y) <==> x[y]

__hash__ = None

__iter__(/)

Implement iter(self).

__len__(/)

Return len(self).

clear() → None.  Remove all items from D.

copy()

Return copy of ConductorModel instance.

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(k[, d]) → v, remove specified key and return the corresponding value.

If key is not found, d is returned if given, otherwise KeyError is raised

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

Setting the EEG reference

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

Optically pumped magnetometer (OPM) data

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