Literature DB >> 23572280

A common discrete resource for visual working memory and visual search.

David E Anderson1, Edward K Vogel, Edward Awh.   

Abstract

Visual search, a dominant paradigm within attention research, requires observers to rapidly identify targets hidden among distractors. Major models of search presume that working memory (WM) provides the on-line work space for evaluating potential targets. According to this hypothesis, individuals with higher WM capacity should search more efficiently, because they should be able to apprehend a larger number of search elements at a time. Nevertheless, no compelling evidence of such a correlation has emerged, and this null result challenges a growing consensus that there is strong overlap between the neural processes that limit internal storage and those that limit external selection. Here, we provide multiple demonstrations of robust correlations between WM capacity and search efficiency, and we document a key boundary condition for observing this link. Finally, examination of a neural measure of visual selection capacity (the N2pc) demonstrates that visual search and WM storage are constrained by a common discrete resource.

Entities:  

Keywords:  ERP; N2pc; evoked potentials; visual attention; visual memory; visual search; working memory

Mesh:

Year:  2013        PMID: 23572280      PMCID: PMC4450974          DOI: 10.1177/0956797612464380

Source DB:  PubMed          Journal:  Psychol Sci        ISSN: 0956-7976


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  23 in total

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2.  Audio-visual object search is changed by bilingual experience.

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Journal:  Atten Percept Psychophys       Date:  2015-11       Impact factor: 2.199

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Authors:  Hrag Pailian; Justin Halberda
Journal:  Mem Cognit       Date:  2015-04

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Journal:  Cereb Cortex       Date:  2014-08-21       Impact factor: 5.357

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Authors:  Edward F Ester; Keisuke Fukuda; Lisa M May; Edward K Vogel; Edward Awh
Journal:  Cogn Affect Behav Neurosci       Date:  2014-03       Impact factor: 3.282

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Authors:  Thomas T Hills; Peter M Todd; David Lazer; A David Redish; Iain D Couzin
Journal:  Trends Cogn Sci       Date:  2014-12-03       Impact factor: 20.229

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Authors:  Chen Cheng; Zsuzsa Kaldy; Erik Blaser
Journal:  Cogn Dev       Date:  2020-06-16

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Authors:  David E Anderson; Edward F Ester; John T Serences; Edward Awh
Journal:  J Neurosci       Date:  2013-05-29       Impact factor: 6.167

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