Literature DB >> 36253588

Working memory is updated by reallocation of resources from obsolete to new items.

Robert Taylor1, Ivan Tomić2,3, David Aagten-Murphy1, Paul M Bays1.   

Abstract

Visual working memory (VWM) resources are limited, placing constraints on how much visual information can be simultaneously retained. During visually guided activity, stored information can quickly become outdated, so updating mechanisms are needed to ensure the contents of memory remain relevant to current task goals. In particular, successful deallocation of resources from items that become obsolete is likely to be critical for maintaining the precision of those representations still in memory. The experiments in this study involved presenting two memory arrays of coloured disks in sequence. The appearance of the second array was a cue to replace, rehearse, or add a new colour to the colours in memory. We predicted that successful resource reallocation should result in comparable recall precision when an item was replaced or rehearsed, owing to the removal of pre-replacement features. In contrast, a failure to update WM should lead to comparable precision with a condition in which a new colour was added to memory. We identified a very small proportion (∼5%) of trials in which participants incorrectly reported a feature from the first array in place of its replacement in the second, which we interpreted as a failure to incorporate the information from the second display into memory. Once these trials were discounted, precision estimates were consistent with complete redistribution of resources in the case of updating a single item. We conclude that working memory can be efficiently updated when previous information becomes obsolete, but that this is a demanding active process that occasionally fails.
© 2022. The Author(s).

Entities:  

Keywords:  Intrusion error; Memory updating; Resource reallocation; Short-term memory; Visual working memory

Year:  2022        PMID: 36253588     DOI: 10.3758/s13414-022-02584-2

Source DB:  PubMed          Journal:  Atten Percept Psychophys        ISSN: 1943-3921            Impact factor:   2.157


  38 in total

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3.  Impaired updating of working memory in schizophrenia.

Authors:  Cherrie A Galletly; Alexander C McFarlane; Alexander S MacFarlane; C Richard Clark
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Review 4.  Using Bayes factor hypothesis testing in neuroscience to establish evidence of absence.

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Authors:  Paul M Bays; Nikos Gorgoraptis; Natalie Wee; Louise Marshall; Masud Husain
Journal:  J Vis       Date:  2011-09-12       Impact factor: 2.240

6.  Two dissociable updating processes in working memory.

Authors:  Yoav Kessler; Nachshon Meiran
Journal:  J Exp Psychol Learn Mem Cogn       Date:  2008-11       Impact factor: 3.051

7.  The precision of visual working memory is set by allocation of a shared resource.

Authors:  Paul M Bays; Raquel F G Catalao; Masud Husain
Journal:  J Vis       Date:  2009-09-09       Impact factor: 2.240

8.  Updating visual working memory in the change detection paradigm.

Authors:  Yoav Kessler; Rachel Rac-Lubashevsky; Carmel Lichtstein; Hadar Markus; Almog Simchon; Morris Moscovitch
Journal:  J Vis       Date:  2015       Impact factor: 2.240

9.  A neural model of retrospective attention in visual working memory.

Authors:  Paul M Bays; Robert Taylor
Journal:  Cogn Psychol       Date:  2017-12-19       Impact factor: 3.468

10.  Variability in the quality of visual working memory.

Authors:  Daryl Fougnie; Jordan W Suchow; George A Alvarez
Journal:  Nat Commun       Date:  2012       Impact factor: 14.919

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