Literature DB >> 34699782

Attention improves information flow between neuronal populations without changing the communication subspace.

Ramanujan Srinath1, Douglas A Ruff2, Marlene R Cohen2.   

Abstract

Visual attention allows observers to change the influence of different parts of a visual scene on their behavior, suggesting that information can be flexibly shared between visual cortex and neurons involved in decision making. We investigated the neural substrate of flexible information routing by analyzing the activity of populations of visual neurons in the medial temporal area (MT) and oculo-motor neurons in the superior colliculus (SC) while rhesus monkeys switched spatial attention. We demonstrated that attention increases the efficacy of visuomotor communication: trial-to-trial variability in SC population activity could be better predicted by the activity of the MT population (and vice versa) when attention was directed toward their joint receptive fields. Surprisingly, this improvement in prediction was not explained by changes in the dimensionality of the shared subspace or in the magnitude of local or shared pairwise noise correlations. These results lay a foundation for future theoretical and experimental studies into how visual attention can flexibly change information flow between sensory and decision neurons.
Copyright © 2021 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  communication subspace; functional communication; spatial attention; visual representations

Mesh:

Year:  2021        PMID: 34699782      PMCID: PMC8665027          DOI: 10.1016/j.cub.2021.09.076

Source DB:  PubMed          Journal:  Curr Biol        ISSN: 0960-9822            Impact factor:   10.834


  126 in total

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Journal:  Br J Psychol       Date:  2001-02

2.  Effects of attention on MT and MST neuronal activity during pursuit initiation.

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Journal:  J Neurophysiol       Date:  2000-02       Impact factor: 2.714

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Authors:  Behrad Noudoost; Tirin Moore
Journal:  Trends Cogn Sci       Date:  2011-11-08       Impact factor: 20.229

Review 4.  Feature-based attention in visual cortex.

Authors:  John H R Maunsell; Stefan Treue
Journal:  Trends Neurosci       Date:  2006-05-11       Impact factor: 13.837

5.  Object category structure in response patterns of neuronal population in monkey inferior temporal cortex.

Authors:  Roozbeh Kiani; Hossein Esteky; Koorosh Mirpour; Keiji Tanaka
Journal:  J Neurophysiol       Date:  2007-04-11       Impact factor: 2.714

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Journal:  Nature       Date:  1997-03-13       Impact factor: 49.962

8.  Circuit Models of Low-Dimensional Shared Variability in Cortical Networks.

Authors:  Chengcheng Huang; Douglas A Ruff; Ryan Pyle; Robert Rosenbaum; Marlene R Cohen; Brent Doiron
Journal:  Neuron       Date:  2018-12-20       Impact factor: 17.173

9.  Neuronal Modulations in Visual Cortex Are Associated with Only One of Multiple Components of Attention.

Authors:  Thomas Zhihao Luo; John H R Maunsell
Journal:  Neuron       Date:  2015-06-03       Impact factor: 17.173

10.  Attention-induced variance and noise correlation reduction in macaque V1 is mediated by NMDA receptors.

Authors:  Jose L Herrero; Marc A Gieselmann; Mehdi Sanayei; Alexander Thiele
Journal:  Neuron       Date:  2013-05-22       Impact factor: 17.173

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  2 in total

Review 1.  Priority coding in the visual system.

Authors:  Nicole C Rust; Marlene R Cohen
Journal:  Nat Rev Neurosci       Date:  2022-04-11       Impact factor: 34.870

Review 2.  Interpreting neural computations by examining intrinsic and embedding dimensionality of neural activity.

Authors:  Mehrdad Jazayeri; Srdjan Ostojic
Journal:  Curr Opin Neurobiol       Date:  2021-09-17       Impact factor: 7.070

  2 in total

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