shamo.eeg.leadfield.parametric.problem.ProbParamEEGLeadfield

class shamo.eeg.leadfield.parametric.problem.ProbParamEEGLeadfield(**kwargs)

Bases: shamo.core.problems.parametric.getdp.ProbParamGetDP

A problem definition to solve the parametric EEG forward problem.

Attributes

sigmas	(shamo.core.problems.parametric.CompParamTissueProp) 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.
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 parametric forward problem.
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

METHOD_JOB
METHOD_MUL
METHOD_SEQ
template	Return the name of the template PY 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, n_evals, method='sequential', n_proc=1, skip=0, **kwargs)

Solve the EEG parametric forward problem.

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.

n_evalsint

The number of evaluation points.

methodstr, optional

The method to solve the sub-problems. The accepted values are 'sequential', 'multiprocessing', 'job'. (The default is 'sequential')

n_procint, optional

The number of processes to solve the problem when method is set to 'multiprocessing'. (The default is 1)

skipint, optional

The number of points to skip at the beginning of the sequence. (The default is 0)

Returns

shamo.eeg.SolParamEEGLeadfield

The parametric EEG leafield object.

property template

Return the name of the template PY file.

Returns

str

The name of the template PY 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