shamo.eeg.leadfield.single.problem.ProbEEGLeadfield

class shamo.eeg.leadfield.single.problem.ProbEEGLeadfield(**kwargs)[source]

Bases: shamo.core.problems.single.getdp.ProbGetDP

A problem definition to generate the EEG leadfield matrix.

Attributes

sigmas

(shamo.core.problems.single.CompTissueProp) The electrical conductivity of the tissues.

markers

(shamo.core.problems.single.CompSensors) The electrodes to ignore when solving the problem.

reference

(shamo.core.problems.single.CompSensors) The electrode to use as the reference.

rois

(shamo.core.problems.single.CompTissues) The tissues in which the leadfield must be computed.

min_elems_dist

(float) The minimal distance between two elements in the region of interest.

elems_path

(shamo.core.problems.single.CompFilePath) The path to the elements subset.

grid

(shamo.core.problems.single.CompGridSampler) The grid sampler if the source space must be based on a grid.

Methods

clear

copy

fromkeys

Create a new dictionary with keys from iterable and values set to value.

get

Return the value for key if key is in the dictionary, else default.

items

keys

pop

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

Insert key with a value of default if key is not in the dictionary.

solve

Solve the EEG forward problem and build the leadfield matrix.

update

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

Attributes

template

Return the name of the template PRO file.

clear() → None. Remove all items from D.
copy() → a shallow copy of 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(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.

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.

solve(name, parent_path, model, **kwargs)[source]

Solve the EEG forward problem and build the leadfield matrix.

Parameters
namestr

The name of the solution.

parent_pathstr, byte or os.PathLike

The path to the parent directory of the solution.

modelshamo.fem.FEM

The finite element model to solve the problem for.

Returns
shamo.eeg.SolEEGLeadfield

The EEG leafield object.

property template

Return the name of the template PRO file.

Returns
str

The name of the template PRO file.

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