Literature DB >> 16023853

Attention and visual perception.

Geoffrey M Boynton1.   

Abstract

Somewhere between the retina and our conscious visual experience, the majority of the information impinging on the eye is lost. We are typically aware of only either the most salient parts of a visual scene or the parts that we are actively paying attention to. Recent research on visual neurons in monkeys is beginning to show how the brain both selects and discards incoming visual information. For example, what happens to the responses of visual neurons when attention is directed to one element, such as an oriented colored bar, embedded among an array of other oriented bars? Some of this research shows that attention to the oriented bar restricts the receptive field of visual neurons down to this single element. However, other research shows that attention to this single element affects the responses of neurons with receptive fields throughout the visual field. In this review, these two seemingly contradictory results are shown to actually be mutually consistent. A simple computational model is described that explains these results, and also provides a framework for predicting a variety of additional neurophysiological, neuroimaging and behavioral studies of attention.

Entities:  

Mesh:

Year:  2005        PMID: 16023853     DOI: 10.1016/j.conb.2005.06.009

Source DB:  PubMed          Journal:  Curr Opin Neurobiol        ISSN: 0959-4388            Impact factor:   6.627


  46 in total

1.  Effect of feature-selective attention on neuronal responses in macaque area MT.

Authors:  X Chen; K-P Hoffmann; T D Albright; A Thiele
Journal:  J Neurophysiol       Date:  2011-12-14       Impact factor: 2.714

2.  Basing perceptual decisions on the most informative sensory neurons.

Authors:  Miranda Scolari; John T Serences
Journal:  J Neurophysiol       Date:  2010-07-14       Impact factor: 2.714

3.  Population response profiles in early visual cortex are biased in favor of more valuable stimuli.

Authors:  John T Serences; Sameer Saproo
Journal:  J Neurophysiol       Date:  2010-04-21       Impact factor: 2.714

4.  Spatial attention improves the quality of population codes in human visual cortex.

Authors:  Sameer Saproo; John T Serences
Journal:  J Neurophysiol       Date:  2010-05-19       Impact factor: 2.714

5.  Optimal deployment of attentional gain during fine discriminations.

Authors:  Miranda Scolari; Anna Byers; John T Serences
Journal:  J Neurosci       Date:  2012-05-30       Impact factor: 6.167

6.  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

7.  Cortical mechanisms of action selection: the affordance competition hypothesis.

Authors:  Paul Cisek
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2007-09-29       Impact factor: 6.237

8.  An integrated microcircuit model of attentional processing in the neocortex.

Authors:  Salva Ardid; Xiao-Jing Wang; Albert Compte
Journal:  J Neurosci       Date:  2007-08-08       Impact factor: 6.167

9.  The Neural Basis of Selective Attention: Cortical Sources and Targets of Attentional Modulation.

Authors:  Steven Yantis
Journal:  Curr Dir Psychol Sci       Date:  2008

10.  Adaptive allocation of attentional gain.

Authors:  Miranda Scolari; John T Serences
Journal:  J Neurosci       Date:  2009-09-23       Impact factor: 6.167

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