Literature DB >> 28532368

Neuronal Mechanisms of Visual Attention.

John H R Maunsell1.   

Abstract

Advances on several fronts have refined our understanding of the neuronal mechanisms of attention. This review focuses on recent progress in understanding visual attention through single-neuron recordings made in behaving subjects. Simultaneous recordings from populations of individual cells have shown that attention is associated with changes in the correlated firing of neurons that can enhance the quality of sensory representations. Other work has shown that sensory normalization mechanisms are important for explaining many aspects of how visual representations change with attention, and these mechanisms must be taken into account when evaluating attention-related neuronal modulations. Studies comparing different brain structures suggest that attention is composed of several cognitive processes, which might be controlled by different brain regions. Collectively, these and other recent findings provide a clearer picture of how representations in the visual system change when attention shifts from one target to another.

Entities:  

Keywords:  cerebral cortex; normalization; primates; spatial attention; vision

Year:  2015        PMID: 28532368      PMCID: PMC8279254          DOI: 10.1146/annurev-vision-082114-035431

Source DB:  PubMed          Journal:  Annu Rev Vis Sci        ISSN: 2374-4642            Impact factor:   6.422


  123 in total

1.  The effect of attention on neuronal responses to high and low contrast stimuli.

Authors:  Joonyeol Lee; John H R Maunsell
Journal:  J Neurophysiol       Date:  2010-06-10       Impact factor: 2.714

Review 2.  Neuronal representations of cognitive state: reward or attention?

Authors:  John H R Maunsell
Journal:  Trends Cogn Sci       Date:  2004-06       Impact factor: 20.229

Review 3.  Feature-based attention in visual cortex.

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

Review 4.  Feature-based attention: it is all bottom-up priming.

Authors:  Jan Theeuwes
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2013-09-09       Impact factor: 6.237

5.  Selective attention in an insect visual neuron.

Authors:  Steven D Wiederman; David C O'Carroll
Journal:  Curr Biol       Date:  2012-12-20       Impact factor: 10.834

6.  Single-unit recording and stimulation in superior colliculus of the alert rhesus monkey.

Authors:  P H Schiller; M Stryker
Journal:  J Neurophysiol       Date:  1972-11       Impact factor: 2.714

7.  The statistical reliability of signals in single neurons in cat and monkey visual cortex.

Authors:  D J Tolhurst; J A Movshon; A F Dean
Journal:  Vision Res       Date:  1983       Impact factor: 1.886

8.  Value-based modulations in human visual cortex.

Authors:  John T Serences
Journal:  Neuron       Date:  2008-12-26       Impact factor: 17.173

9.  Attention influences single unit and local field potential response latencies in visual cortical area V4.

Authors:  Kristy A Sundberg; Jude F Mitchell; Timothy J Gawne; John H Reynolds
Journal:  J Neurosci       Date:  2012-11-07       Impact factor: 6.167

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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  81 in total

Review 1.  Circuits for Action and Cognition: A View from the Superior Colliculus.

Authors:  Michele A Basso; Paul J May
Journal:  Annu Rev Vis Sci       Date:  2017-06-15       Impact factor: 6.422

Review 2.  The neural instantiation of a priority map.

Authors:  James W Bisley; Koorosh Mirpour
Journal:  Curr Opin Psychol       Date:  2019-01-11

3.  Neuronal Effects of Spatial and Feature Attention Differ Due to Normalization.

Authors:  Amy M Ni; John H R Maunsell
Journal:  J Neurosci       Date:  2019-05-08       Impact factor: 6.167

4.  Attention Enhances the Efficacy of Communication in V1 Local Circuits.

Authors:  Jacqueline R Hembrook-Short; Vanessa L Mock; W Martin Usrey; Farran Briggs
Journal:  J Neurosci       Date:  2018-12-12       Impact factor: 6.167

5.  Covert Attention Increases the Gain of Stimulus-Evoked Population Codes.

Authors:  Joshua J Foster; William Thyer; Janna W Wennberg; Edward Awh
Journal:  J Neurosci       Date:  2021-01-13       Impact factor: 6.167

6.  Neural signatures of dynamic stimulus selection in Drosophila.

Authors:  Yi Sun; Aljoscha Nern; Romain Franconville; Hod Dana; Eric R Schreiter; Loren L Looger; Karel Svoboda; Douglas S Kim; Ann M Hermundstad; Vivek Jayaraman
Journal:  Nat Neurosci       Date:  2017-06-12       Impact factor: 24.884

7.  "Shepherd's crook" neurons drive and synchronize the enhancing and suppressive mechanisms of the midbrain stimulus selection network.

Authors:  Florencia Garrido-Charad; Tomas Vega-Zuniga; Cristián Gutiérrez-Ibáñez; Pedro Fernandez; Luciana López-Jury; Cristian González-Cabrera; Harvey J Karten; Harald Luksch; Gonzalo J Marín
Journal:  Proc Natl Acad Sci U S A       Date:  2018-07-19       Impact factor: 11.205

8.  Selection history is relative.

Authors:  Ming-Ray Liao; Mark K Britton; Brian A Anderson
Journal:  Vision Res       Date:  2020-07-11       Impact factor: 1.886

Review 9.  Neural Circuits That Mediate Selective Attention: A Comparative Perspective.

Authors:  Eric I Knudsen
Journal:  Trends Neurosci       Date:  2018-07-31       Impact factor: 13.837

10.  The link between reading ability and visual spatial attention across development.

Authors:  Alex L White; Geoffrey M Boynton; Jason D Yeatman
Journal:  Cortex       Date:  2019-08-27       Impact factor: 4.027

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