Literature DB >> 18687968

Dynamic shifts of limited working memory resources in human vision.

Paul M Bays1, Masud Husain.   

Abstract

Our ability to remember what we have seen is very limited. Most current views characterize this limit as a fixed number of items-only four objects-that can be held in visual working memory. We show that visual memory capacity is not fixed by the number of objects, but rather is a limited resource that is shared out dynamically between all items in the visual scene. This resource can be shifted flexibly between objects, with allocation biased by selective attention and toward targets of upcoming eye movements. The proportion of resources allocated to each item determines the precision with which it is remembered, a relation that we show is governed by a simple power law, allowing quantitative estimates of resource distribution in a scene.

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Year:  2008        PMID: 18687968      PMCID: PMC2532743          DOI: 10.1126/science.1158023

Source DB:  PubMed          Journal:  Science        ISSN: 0036-8075            Impact factor:   47.728


  27 in total

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  354 in total

1.  Directed forgetting and directed remembering in visual working memory.

Authors:  Melonie Williams; Geoffrey F Woodman
Journal:  J Exp Psychol Learn Mem Cogn       Date:  2012-03-12       Impact factor: 3.051

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Journal:  Psychon Bull Rev       Date:  2012-06

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Journal:  Exp Brain Res       Date:  2010-04-06       Impact factor: 1.972

4.  Saccades elicit obligatory allocation of visual working memory.

Authors:  Na Shao; Jie Li; Rende Shui; Xiaojie Zheng; Jiangang Lu; Mowei Shen
Journal:  Mem Cognit       Date:  2010-07

5.  Neural evidence for a distinction between short-term memory and the focus of attention.

Authors:  Jarrod A Lewis-Peacock; Andrew T Drysdale; Klaus Oberauer; Bradley R Postle
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Review 6.  Multiple concurrent thoughts: The meaning and developmental neuropsychology of working memory.

Authors:  Nelson Cowan
Journal:  Dev Neuropsychol       Date:  2010       Impact factor: 2.253

7.  Stimulus Load and Oscillatory Activity in Higher Cortex.

Authors:  Simon Kornblith; Timothy J Buschman; Earl K Miller
Journal:  Cereb Cortex       Date:  2015-08-18       Impact factor: 5.357

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Authors:  Muhammet Ikbal Sahan; Tom Verguts; Carsten Nicolas Boehler; Gilles Pourtois; Wim Fias
Journal:  Psychon Bull Rev       Date:  2016-08

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Journal:  Behav Processes       Date:  2012-10-23       Impact factor: 1.777

10.  Taming the beast: extracting generalizable knowledge from computational models of cognition.

Authors:  Matthew R Nassar; Michael J Frank
Journal:  Curr Opin Behav Sci       Date:  2016-10
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