Literature DB >> 22946744

An ideal observer analysis of visual working memory.

Chris R Sims1, Robert A Jacobs, David C Knill.   

Abstract

Limits in visual working memory (VWM) strongly constrain human performance across many tasks. However, the nature of these limits is not well understood. In this article we develop an ideal observer analysis of human VWM by deriving the expected behavior of an optimally performing but limited-capacity memory system. This analysis is framed around rate-distortion theory, a branch of information theory that provides optimal bounds on the accuracy of information transmission subject to a fixed information capacity. The result of the ideal observer analysis is a theoretical framework that provides a task-independent and quantitative definition of visual memory capacity and yields novel predictions regarding human performance. These predictions are subsequently evaluated and confirmed in 2 empirical studies. Further, the framework is general enough to allow the specification and testing of alternative models of visual memory (e.g., how capacity is distributed across multiple items). We demonstrate that a simple model developed on the basis of the ideal observer analysis-one that allows variability in the number of stored memory representations but does not assume the presence of a fixed item limit-provides an excellent account of the empirical data and further offers a principled reinterpretation of existing models of VWM. PsycINFO Database Record (c) 2012 APA, all rights reserved.

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Year:  2012        PMID: 22946744      PMCID: PMC3646905          DOI: 10.1037/a0029856

Source DB:  PubMed          Journal:  Psychol Rev        ISSN: 0033-295X            Impact factor:   8.934


  57 in total

1.  What are the units of visual short-term memory, objects or spatial locations?

Authors:  D Lee; M M Chun
Journal:  Percept Psychophys       Date:  2001-02

2.  Comparison of length judgments and the Müller-Lyer illusion in monkeys and humans.

Authors:  Oana Tudusciuc; Andreas Nieder
Journal:  Exp Brain Res       Date:  2010-10-24       Impact factor: 1.972

3.  Color relations increase the capacity of visual short-term memory.

Authors:  Thomas Sanocki; Noah Sulman
Journal:  Perception       Date:  2011       Impact factor: 1.490

4.  Variability in encoding precision accounts for visual short-term memory limitations.

Authors:  Ronald van den Berg; Hongsup Shin; Wen-Chuang Chou; Ryan George; Wei Ji Ma
Journal:  Proc Natl Acad Sci U S A       Date:  2012-05-11       Impact factor: 11.205

5.  Discrete fixed-resolution representations in visual working memory.

Authors:  Weiwei Zhang; Steven J Luck
Journal:  Nature       Date:  2008-04-02       Impact factor: 49.962

6.  On perfect working-memory performance with large numbers of items.

Authors:  Jonathan E Thiele; Michael S Pratte; Jeffrey N Rouder
Journal:  Psychon Bull Rev       Date:  2011-10

7.  The number and quality of representations in working memory.

Authors:  Weiwei Zhang; Steven J Luck
Journal:  Psychol Sci       Date:  2011-10-10

8.  Dynamic shifts of limited working memory resources in human vision.

Authors:  Paul M Bays; Masud Husain
Journal:  Science       Date:  2008-08-08       Impact factor: 47.728

9.  The Influence of Similarity on Visual Working Memory Representations.

Authors:  Po-Han Lin; Steven J Luck
Journal:  Vis cogn       Date:  2009-04

10.  Discrete resource allocation in visual working memory.

Authors:  Brian Barton; Edward F Ester; Edward Awh
Journal:  J Exp Psychol Hum Percept Perform       Date:  2009-10       Impact factor: 3.332

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  37 in total

1.  Variability in encoding precision accounts for visual short-term memory limitations.

Authors:  Ronald van den Berg; Hongsup Shin; Wen-Chuang Chou; Ryan George; Wei Ji Ma
Journal:  Proc Natl Acad Sci U S A       Date:  2012-05-11       Impact factor: 11.205

2.  Chunking as a rational strategy for lossy data compression in visual working memory.

Authors:  Matthew R Nassar; Julie C Helmers; Michael J Frank
Journal:  Psychol Rev       Date:  2018-07       Impact factor: 8.934

3.  Clear evidence for item limits in visual working memory.

Authors:  Kirsten C S Adam; Edward K Vogel; Edward Awh
Journal:  Cogn Psychol       Date:  2017-07-19       Impact factor: 3.468

4.  The contribution of attentional lapses to individual differences in visual working memory capacity.

Authors:  Kirsten C S Adam; Irida Mance; Keisuke Fukuda; Edward K Vogel
Journal:  J Cogn Neurosci       Date:  2015-03-26       Impact factor: 3.225

Review 5.  Changing concepts of working memory.

Authors:  Wei Ji Ma; Masud Husain; Paul M Bays
Journal:  Nat Neurosci       Date:  2014-02-25       Impact factor: 24.884

Review 6.  The simplicity principle in perception and cognition.

Authors:  Jacob Feldman
Journal:  Wiley Interdiscip Rev Cogn Sci       Date:  2016-07-29

7.  Central and peripheral components of working memory storage.

Authors:  Nelson Cowan; J Scott Saults; Christopher L Blume
Journal:  J Exp Psychol Gen       Date:  2014-05-26

8.  Fundamental bound on the persistence and capacity of short-term memory stored as graded persistent activity.

Authors:  Onur Ozan Koyluoglu; Yoni Pertzov; Sanjay Manohar; Masud Husain; Ila R Fiete
Journal:  Elife       Date:  2017-09-07       Impact factor: 8.140

9.  Strategic trade-offs between quantity and quality in working memory.

Authors:  Daryl Fougnie; Sarah M Cormiea; Anish Kanabar; George A Alvarez
Journal:  J Exp Psychol Hum Percept Perform       Date:  2016-03-07       Impact factor: 3.332

10.  Performance on perceptual word identification is mediated by discrete states.

Authors:  April R Swagman; Jordan M Province; Jeffrey N Rouder
Journal:  Psychon Bull Rev       Date:  2015-02
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