An integrated network for invariant visual detection and recognition.
Vision Res
; 43(19): 2073-88, 2003 Sep.
Article
en En
| MEDLINE
| ID: mdl-12842160
We describe an architecture for invariant visual detection and recognition. Learning is performed in a single central module. The architecture makes use of a replica module consisting of copies of retinotopic layers of local features, with a particular design of inputs and outputs, that allows them to be primed either to attend to a particular location, or to attend to a particular object representation. In the former case the data at a selected location can be classified in the central module. In the latter case all instances of the selected object are detected in the field of view. The architecture is used to explain a number of psychophysical and physiological observations: object based attention, the different response time slopes of target detection among distractors, and observed attentional modulation of neuronal responses. We hypothesize that the organization of visual cortex in columns of neurons responding to the same feature at the same location may provide the copying architecture needed for translation invariance.
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Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Atención
/
Percepción de Forma
Tipo de estudio:
Diagnostic_studies
Límite:
Humans
Idioma:
En
Revista:
Vision Res
Año:
2003
Tipo del documento:
Article
País de afiliación:
Estados Unidos
Pais de publicación:
Reino Unido