Literature DB >> 23357579

Viewing the dynamics and control of visual attention through the lens of electrophysiology.

Geoffrey F Woodman1.   

Abstract

How we find what we are looking for in complex visual scenes is a seemingly simple ability that has taken half a century to unravel. The first study to use the term visual search showed that as the number of objects in a complex scene increases, observers' reaction times increase proportionally (Green & Anderson, 1956). This observation suggests that our ability to process the objects in the scenes is limited in capacity. However, if it is known that the target will have a certain feature attribute, for example, that it will be red, then only an increase in the number of red items increases reaction time. This observation suggests that we can control which visual inputs receive the benefit of our limited capacity to recognize the objects, such as those defined by the color red, as the items we seek. The nature of the mechanisms that underlie these basic phenomena in the literature on visual search have been more difficult to definitively determine. In this paper, I discuss how electrophysiological methods have provided us with the necessary tools to understand the nature of the mechanisms that give rise to the effects observed in the first visual search paper. I begin by describing how recordings of event-related potentials from humans and nonhuman primates have shown us how attention is deployed to possible target items in complex visual scenes. Then, I will discuss how event-related potential experiments have allowed us to directly measure the memory representations that are used to guide these deployments of attention to items with target-defining features.
Copyright © 2013 Elsevier Ltd. All rights reserved.

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Year:  2013        PMID: 23357579      PMCID: PMC3594578          DOI: 10.1016/j.visres.2013.01.003

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


  101 in total

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Journal:  J Neurosci       Date:  1995-06       Impact factor: 6.167

7.  Responses of neurons in inferior temporal cortex during memory-guided visual search.

Authors:  L Chelazzi; J Duncan; E K Miller; R Desimone
Journal:  J Neurophysiol       Date:  1998-12       Impact factor: 2.714

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9.  The attention operating characteristic: examples from visual search.

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Journal:  Science       Date:  1978-10-20       Impact factor: 47.728

10.  Hemicraniectomy: a new model for human electrophysiology with high spatio-temporal resolution.

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Journal:  J Cogn Neurosci       Date:  2010-11       Impact factor: 3.225

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