Explicit information for category-orthogonal object properties increases along the ventral stream.
Nat Neurosci
; 19(4): 613-22, 2016 Apr.
Article
en En
| MEDLINE
| ID: mdl-26900926
ABSTRACT
Extensive research has revealed that the ventral visual stream hierarchically builds a robust representation for supporting visual object categorization tasks. We systematically explored the ability of multiple ventral visual areas to support a variety of 'category-orthogonal' object properties such as position, size and pose. For complex naturalistic stimuli, we found that the inferior temporal (IT) population encodes all measured category-orthogonal object properties, including those properties often considered to be low-level features (for example, position), more explicitly than earlier ventral stream areas. We also found that the IT population better predicts human performance patterns across properties. A hierarchical neural network model based on simple computational principles generates these same cross-area patterns of information. Taken together, our empirical results support the hypothesis that all behaviorally relevant object properties are extracted in concert up the ventral visual hierarchy, and our computational model explains how that hierarchy might be built.
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Reconocimiento Visual de Modelos
/
Estimulación Luminosa
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Desempeño Psicomotor
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Corteza Visual
/
Vías Visuales
/
Modelos Neurológicos
Tipo de estudio:
Prognostic_studies
Límite:
Female
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Humans
/
Male
Idioma:
En
Revista:
Nat Neurosci
Asunto de la revista:
NEUROLOGIA
Año:
2016
Tipo del documento:
Article
País de afiliación:
Estados Unidos