Literature DB >> 35410358

Priority coding in the visual system.

Nicole C Rust1, Marlene R Cohen2,3.   

Abstract

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.
© 2022. Springer Nature Limited.

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Year:  2022        PMID: 35410358     DOI: 10.1038/s41583-022-00582-9

Source DB:  PubMed          Journal:  Nat Rev Neurosci        ISSN: 1471-003X            Impact factor:   34.870


  212 in total

Review 1.  The neural basis of perceptual learning.

Authors:  C D Gilbert; M Sigman; R E Crist
Journal:  Neuron       Date:  2001-09-13       Impact factor: 17.173

Review 2.  Perceptual learning in Vision Research.

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Journal:  Vision Res       Date:  2010-10-23       Impact factor: 1.886

Review 3.  Perceptual learning: specificity versus generalization.

Authors:  Manfred Fahle
Journal:  Curr Opin Neurobiol       Date:  2005-04       Impact factor: 6.627

Review 4.  A common framework for perceptual learning.

Authors:  Aaron R Seitz; Hubert R Dinse
Journal:  Curr Opin Neurobiol       Date:  2007-02-20       Impact factor: 6.627

Review 5.  Visual perceptual learning.

Authors:  Zhong-Lin Lu; Tianmiao Hua; Chang-Bing Huang; Yifeng Zhou; Barbara Anne Dosher
Journal:  Neurobiol Learn Mem       Date:  2010-09-24       Impact factor: 2.877

Review 6.  Visual Functions of Primate Area V4.

Authors:  Anitha Pasupathy; Dina V Popovkina; Taekjun Kim
Journal:  Annu Rev Vis Sci       Date:  2020-06-24       Impact factor: 6.422

7.  How does the brain solve visual object recognition?

Authors:  James J DiCarlo; Davide Zoccolan; Nicole C Rust
Journal:  Neuron       Date:  2012-02-09       Impact factor: 17.173

Review 8.  Advances in visual perceptual learning and plasticity.

Authors:  Yuka Sasaki; Jose E Nanez; Takeo Watanabe
Journal:  Nat Rev Neurosci       Date:  2009-12-02       Impact factor: 34.870

Review 9.  Honey bees as a model for vision, perception, and cognition.

Authors:  Mandyam V Srinivasan
Journal:  Annu Rev Entomol       Date:  2010       Impact factor: 19.686

Review 10.  Vocal learning in elephants: neural bases and adaptive context.

Authors:  Angela S Stoeger; Paul Manger
Journal:  Curr Opin Neurobiol       Date:  2014-07-23       Impact factor: 6.627

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