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Multivariate Pattern Analysis in Python |
Inheritance diagram for mvpa.atlases.base:
Base classes for Anatomy atlases support
- major optimization. Now code is sloppy and slow – plenty of checks etc
mvpa.atlases.base module contains support for various atlases
| group Base: | BaseAtlas XMLBasedAtlas Label Level LabelsLevel |
|---|---|
| group Talairach: | |
| PyMVPAAtlas LabelsAtlas ReferencesAtlas | |
| group Exceptions: | |
| XMLAtlasException | |
Bases: object
Base class for the atlases.
Create an atlas object based on the... XXX
Bases: object
Represents a label. Just to bring all relevant information together
| Parameters: |
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Bases: mvpa.atlases.base.PyMVPAAtlas
Atlas which provides labels for the given coordinate
Bases: mvpa.atlases.base.Level
Level of labels.
XXX extend
Bases: mvpa.atlases.base.XMLBasedAtlas
Base class for PyMVPA atlases, such as LabelsAtlas and ReferenceAtlas
Bases: mvpa.atlases.base.PyMVPAAtlas
Atlas which provides references to the other atlases.
Example: the atlas which has references to the closest points (closest Gray, etc) in another atlas.
Initialize ReferencesAtlas
Bases: mvpa.atlases.base.Level
Level which carries reference points
Bases: exceptions.Exception
Exception to be thrown if smth goes wrong dealing with XML based atlas
Bases: mvpa.atlases.base.BaseAtlas
| Parameters: |
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Return labels for the given spatial point at specified levels
so we first transform point into the voxel space
Set coordT transformation.
spaceT needs to be adjusted since we glob those two transformations together