Literature DB >> 28957016

Reprioritization of Features of Multidimensional Objects Stored in Visual Working Memory.

Young Eun Park1, Jocelyn L Sy1, Sang Wook Hong2, Frank Tong1.   

Abstract

A prevalent view of visual working memory (VWM) is that visual information is actively maintained in the form of perceptually integrated objects. Such reliance on object-based representations would predict that after an object is fully encoded into VWM, all features of that object would need to be maintained as a coherent unit. Here, we evaluated this idea by testing whether memory resources can be redeployed to a specific feature of an object already stored in VWM. We found that observers can utilize a retrospective cue presented during the maintenance period to attenuate both the gradual deterioration and complete loss of memory for a cued feature over time, but at the cost of accelerated loss of information regarding the uncued feature. Our findings demonstrate that object representations held within VWM can be decomposed into individual features and that having to retain additional features imposes greater demands on active maintenance processes.

Entities:  

Keywords:  open data; short-term memory; visual attention; visual memory

Mesh:

Year:  2017        PMID: 28957016      PMCID: PMC5725244          DOI: 10.1177/0956797617719949

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


  36 in total

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  12 in total

1.  Object-Feature Binding Survives Dynamic Shifts of Spatial Attention.

Authors:  Emma Wu Dowd; Julie D Golomb
Journal:  Psychol Sci       Date:  2019-01-29

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Journal:  J Cogn Neurosci       Date:  2019-12-18       Impact factor: 3.225

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Authors:  Chaoxiong Ye; Qianru Xu; Xinyang Liu; Piia Astikainen; Yongjie Zhu; Zhonghua Hu; Qiang Liu
Journal:  Sci Rep       Date:  2021-03-31       Impact factor: 4.379

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Authors:  Jacob A Miller; Anastasia Kiyonaga; Richard B Ivry; Mark D'Esposito
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10.  Memory-driven capture occurs for individual features of an object.

Authors:  Edyta Sasin; Daryl Fougnie
Journal:  Sci Rep       Date:  2020-11-11       Impact factor: 4.379

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