Literature DB >> 19038281

A framework for describing the effects of attention on visual responses.

Geoffrey M Boynton1.   

Abstract

Much has been learned over the past 25 years about how attention influences neuronal responses to stimuli in the visual cortex of monkeys and humans. The most recent studies have used parametric manipulations of stimulus attributes such as orientation, direction of motion, and contrast to elucidate the form of the attentional mechanism. The results of these studies do not always agree. However, some of this inconsistency may be caused which attentional effects are considered, such as contrast gain, response gain, or a baseline shift in firing rate with attention. Here, seven studies of spatial and feature-based attention, ranging from monkey electrophysiological studies in V4 and MT to fMRI studies in human visual cortex, are reevaluated in the context of a single parametric model that incorporates a variety of ways in which attention can influence neuronal responses. This reanalysis shows that most, though not all, of these results can be explained by a similar combination of attentional mechanisms.

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Year:  2008        PMID: 19038281      PMCID: PMC2724072          DOI: 10.1016/j.visres.2008.11.001

Source DB:  PubMed          Journal:  Vision Res        ISSN: 0042-6989            Impact factor:   1.886


  51 in total

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Journal:  Annu Rev Neurosci       Date:  2004       Impact factor: 12.449

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Journal:  Nature       Date:  1993-05-27       Impact factor: 49.962

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Journal:  Science       Date:  1985-08-23       Impact factor: 47.728

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Journal:  J Neurophysiol       Date:  1982-07       Impact factor: 2.714

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Journal:  Exp Brain Res       Date:  1981       Impact factor: 1.972

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Authors:  Yukiyasu Kamitani; Frank Tong
Journal:  Nat Neurosci       Date:  2005-04-24       Impact factor: 24.884

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  67 in total

1.  Attention improves encoding of task-relevant features in the human visual cortex.

Authors:  Janneke F M Jehee; Devin K Brady; Frank Tong
Journal:  J Neurosci       Date:  2011-06-01       Impact factor: 6.167

2.  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

3.  Stimulus competition mediates the joint effects of spatial and feature-based attention.

Authors:  Alex L White; Martin Rolfs; Marisa Carrasco
Journal:  J Vis       Date:  2015       Impact factor: 2.240

Review 4.  Canonical computations of cerebral cortex.

Authors:  Kenneth D Miller
Journal:  Curr Opin Neurobiol       Date:  2016-02-08       Impact factor: 6.627

Review 5.  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 6.  Visual attention: the past 25 years.

Authors:  Marisa Carrasco
Journal:  Vision Res       Date:  2011-04-28       Impact factor: 1.886

7.  The attentional field revealed by single-voxel modeling of fMRI time courses.

Authors:  Alexander M Puckett; Edgar A DeYoe
Journal:  J Neurosci       Date:  2015-03-25       Impact factor: 6.167

8.  Attention enhances contrast appearance via increased input baseline of neural responses.

Authors:  Elizabeth K Cutrone; David J Heeger; Marisa Carrasco
Journal:  J Vis       Date:  2014-12-30       Impact factor: 2.240

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Authors:  Steve W C Chang; Charalampos Papadimitriou; Lawrence H Snyder
Journal:  Neuron       Date:  2009-12-10       Impact factor: 17.173

10.  Attention improves performance primarily by reducing interneuronal correlations.

Authors:  Marlene R Cohen; John H R Maunsell
Journal:  Nat Neurosci       Date:  2009-11-15       Impact factor: 24.884

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