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Priority coding in the visual system.
Rust, Nicole C; Cohen, Marlene R.
Afiliación
  • Rust NC; Department of Psychology, University of Pennsylvania, Philadelphia, PA, USA. nrust@psych.upenn.edu.
  • Cohen MR; Department of Neuroscience, University of Pittsburgh, Pittsburgh, PA, USA.
Nat Rev Neurosci ; 23(6): 376-388, 2022 06.
Article en En | MEDLINE | ID: mdl-35410358
Although we are continuously bombarded with visual input, only a fraction of incoming visual events is perceived, remembered or acted on. The neural underpinnings of various forms of visual priority coding, including perceptual expertise, goal-directed attention, visual salience, image memorability and preferential looking, have been studied. Here, we synthesize information from these different examples to review recent developments in our understanding of visual priority coding and its neural correlates, with a focus on the role of behaviour to evaluate candidate correlates. We propose that the brain combines different types of priority into a unified priority signal while also retaining the ability to differentiate between them, and that this happens by leveraging partially overlapping low-dimensional neural subspaces for each type of priority that are shared with the downstream neural populations involved in decision-making. Finally, we describe the gulfs in understanding that have resulted from different research approaches, and we point towards future directions that will lead to fundamental insights about neural coding and how prioritization influences visually guided behaviours.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Atención / Mapeo Encefálico Límite: Humans Idioma: En Revista: Nat Rev Neurosci Asunto de la revista: NEUROLOGIA Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Atención / Mapeo Encefálico Límite: Humans Idioma: En Revista: Nat Rev Neurosci Asunto de la revista: NEUROLOGIA Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos