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Temporal asymmetries and interactions between dorsal and ventral visual pathways during object recognition.
Ayzenberg, Vladislav; Simmons, Claire; Behrmann, Marlene.
Afiliación
  • Ayzenberg V; Neuroscience Institute and Psychology Department, Carnegie Mellon University, Pittsburgh, PA 15213, USA.
  • Simmons C; School of Medicine, University of Pittsburgh, Pittsburgh, PA 15213, USA.
  • Behrmann M; Neuroscience Institute and Psychology Department, Carnegie Mellon University, Pittsburgh, PA 15213, USA.
Cereb Cortex Commun ; 4(1): tgad003, 2023.
Article en En | MEDLINE | ID: mdl-36726794
ABSTRACT
Despite their anatomical and functional distinctions, there is growing evidence that the dorsal and ventral visual pathways interact to support object recognition. However, the exact nature of these interactions remains poorly understood. Is the presence of identity-relevant object information in the dorsal pathway simply a byproduct of ventral input? Or, might the dorsal pathway be a source of input to the ventral pathway for object recognition? In the current study, we used high-density EEG-a technique with high temporal precision and spatial resolution sufficient to distinguish parietal and temporal lobes-to characterise the dynamics of dorsal and ventral pathways during object viewing. Using multivariate analyses, we found that category decoding in the dorsal pathway preceded that in the ventral pathway. Importantly, the dorsal pathway predicted the multivariate responses of the ventral pathway in a time-dependent manner, rather than the other way around. Together, these findings suggest that the dorsal pathway is a critical source of input to the ventral pathway for object recognition.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Cereb Cortex Commun Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Cereb Cortex Commun Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos
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