Literature DB >> 18463265

Spatial summation can explain the attentional modulation of neuronal responses to multiple stimuli in area V4.

Geoffrey M Ghose1, John H R Maunsell.   

Abstract

Although many studies have shown that the activity of individual neurons in a variety of visual areas is modulated by attention, a fundamental question remains unresolved: can attention alter the visual representations of individual neurons? One set of studies, primarily relying on the attentional modulations observed when a single stimulus is presented within the receptive field of a neuron, suggests that neuronal selectivities, such as orientation or direction tuning, are not fundamentally altered by attention (Salinas and Abbott, 1997; McAdams and Maunsell, 1999; Treue and Martinez Trujillo, 1999). Another set of studies, relying on modulations observed when multiple stimuli are presented within a receptive field, suggests that attention can alter the weighting of sensory inputs (Moran and Desimone, 1985; Luck et al., 1997; Reynolds et al., 1999; Chelazzi et al., 2001). In these studies, when preferred and nonpreferred stimuli are simultaneously presented, responses are much stronger when attention is directed to the preferred stimulus than when it is directed to the nonpreferred stimulus. In this study, we recorded neuronal responses from individual neurons in visual cortical area V4 to both single and paired stimuli with a variety of attentional allocations and stimulus combinations. For each neuron studied, we constructed a quantitative model of input summation and then tested various models of attention. In many neurons, we are able to explain neuronal responses across the entire range of stimuli and attentional allocations tested. Specifically, we are able to reconcile seemingly inconsistent observations of single and paired stimuli attentional modulation with a new model in which attention can facilitate or suppress specific inputs to a neuron but does not fundamentally alter the integration of these inputs.

Entities:  

Mesh:

Year:  2008        PMID: 18463265      PMCID: PMC2720676          DOI: 10.1523/JNEUROSCI.0138-08.2008

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.167


  29 in total

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Authors:  A Pasupathy; C E Connor
Journal:  J Neurophysiol       Date:  1999-11       Impact factor: 2.714

2.  Attention increases sensitivity of V4 neurons.

Authors:  J H Reynolds; T Pasternak; R Desimone
Journal:  Neuron       Date:  2000-06       Impact factor: 17.173

3.  Responses of neurons in macaque area V4 during memory-guided visual search.

Authors:  L Chelazzi; E K Miller; J Duncan; R Desimone
Journal:  Cereb Cortex       Date:  2001-08       Impact factor: 5.357

4.  Learning to see: experience and attention in primary visual cortex.

Authors:  R E Crist; W Li; C D Gilbert
Journal:  Nat Neurosci       Date:  2001-05       Impact factor: 24.884

5.  Spatial receptive field organization of macaque V4 neurons.

Authors:  Daniel A Pollen; Andrzej W Przybyszewski; Mark A Rubin; Warren Foote
Journal:  Cereb Cortex       Date:  2002-06       Impact factor: 5.357

6.  Attentional modulation in visual cortex depends on task timing.

Authors:  Geoffrey M Ghose; John H R Maunsell
Journal:  Nature       Date:  2002-10-10       Impact factor: 49.962

7.  Responses of primate visual cortical V4 neurons to simultaneously presented stimuli.

Authors:  Timothy J Gawne; Julie M Martin
Journal:  J Neurophysiol       Date:  2002-09       Impact factor: 2.714

8.  Effects of task difficulty and target likelihood in area V4 of macaque monkeys.

Authors:  C Elizabeth Boudreau; Tori H Williford; John H R Maunsell
Journal:  J Neurophysiol       Date:  2006-07-19       Impact factor: 2.714

Review 9.  Strategies and models of selective attention.

Authors:  A M Treisman
Journal:  Psychol Rev       Date:  1969-05       Impact factor: 8.934

10.  Orienting of attention.

Authors:  M I Posner
Journal:  Q J Exp Psychol       Date:  1980-02       Impact factor: 2.143

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  37 in total

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Authors:  Arun P Sripati; Carl R Olson
Journal:  J Neurosci       Date:  2010-06-09       Impact factor: 6.167

2.  Complex cells in the cat striate cortex have multiple disparity detectors in the three-dimensional binocular receptive fields.

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3.  Optimal deployment of attentional gain during fine discriminations.

Authors:  Miranda Scolari; Anna Byers; John T Serences
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4.  Attentional modulation of visual responses by flexible input gain.

Authors:  Geoffrey M Ghose
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5.  Receptive field shift and shrinkage in macaque middle temporal area through attentional gain modulation.

Authors:  Thilo Womelsdorf; Katharina Anton-Erxleben; Stefan Treue
Journal:  J Neurosci       Date:  2008-09-03       Impact factor: 6.167

6.  Spatial attention decorrelates intrinsic activity fluctuations in macaque area V4.

Authors:  Jude F Mitchell; Kristy A Sundberg; John H Reynolds
Journal:  Neuron       Date:  2009-09-24       Impact factor: 17.173

7.  Attention directed by expectations enhances receptive fields in cortical area MT.

Authors:  Geoffrey M Ghose; David W Bearl
Journal:  Vision Res       Date:  2009-10-09       Impact factor: 1.886

8.  Temporally evolving gain mechanisms of attention in macaque area V4.

Authors:  Ilaria Sani; Elisa Santandrea; Maria Concetta Morrone; Leonardo Chelazzi
Journal:  J Neurophysiol       Date:  2017-05-03       Impact factor: 2.714

Review 9.  Attentional enhancement of spatial resolution: linking behavioural and neurophysiological evidence.

Authors:  Katharina Anton-Erxleben; Marisa Carrasco
Journal:  Nat Rev Neurosci       Date:  2013-03       Impact factor: 34.870

Review 10.  The normalization model of attention.

Authors:  John H Reynolds; David J Heeger
Journal:  Neuron       Date:  2009-01-29       Impact factor: 17.173

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