Literature DB >> 26575192

Contextual effects in visual working memory reveal hierarchically structured memory representations.

Timothy F Brady, George A Alvarez.   

Abstract

Influential slot and resource models of visual working memory make the assumption that items are stored in memory as independent units, and that there are no interactions between them. Consequently, these models predict that the number of items to be remembered (the set size) is the primary determinant of working memory performance, and therefore these models quantify memory capacity in terms of the number and quality of individual items that can be stored. Here we demonstrate that there is substantial variance in display difficulty within a single set size, suggesting that limits based on the number of individual items alone cannot explain working memory storage. We asked hundreds of participants to remember the same sets of displays, and discovered that participants were highly consistent in terms of which items and displays were hardest or easiest to remember. Although a simple grouping or chunking strategy could not explain this individual-display variability, a model with multiple, interacting levels of representation could explain some of the display-by-display differences. Specifically, a model that includes a hierarchical representation of items plus the mean and variance of sets of the colors on the display successfully accounts for some of the variability across displays. We conclude that working memory representations are composed only in part of individual, independent object representations, and that a major factor in how many items are remembered on a particular display is interitem representations such as perceptual grouping, ensemble, and texture representations.

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Mesh:

Year:  2015        PMID: 26575192     DOI: 10.1167/15.15.6

Source DB:  PubMed          Journal:  J Vis        ISSN: 1534-7362            Impact factor:   2.240


  24 in total

1.  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

2.  Variable precision in visual perception.

Authors:  Shan Shen; Wei Ji Ma
Journal:  Psychol Rev       Date:  2018-10-18       Impact factor: 8.934

3.  Slot-like capacity and resource-like coding in a neural model of multiple-item working memory.

Authors:  Dominic Standage; Martin Paré
Journal:  J Neurophysiol       Date:  2018-06-27       Impact factor: 2.714

4.  Not-So-CLEVR: learning same-different relations strains feedforward neural networks.

Authors:  Junkyung Kim; Matthew Ricci; Thomas Serre
Journal:  Interface Focus       Date:  2018-06-15       Impact factor: 3.906

5.  Working memory is not fixed-capacity: More active storage capacity for real-world objects than for simple stimuli.

Authors:  Timothy F Brady; Viola S Störmer; George A Alvarez
Journal:  Proc Natl Acad Sci U S A       Date:  2016-06-20       Impact factor: 11.205

6.  Accounting for stimulus-specific variation in precision reveals a discrete capacity limit in visual working memory.

Authors:  Michael S Pratte; Young Eun Park; Rosanne L Rademaker; Frank Tong
Journal:  J Exp Psychol Hum Percept Perform       Date:  2017-01       Impact factor: 3.332

7.  Interactions between visual working memory representations.

Authors:  Gi-Yeul Bae; Steven J Luck
Journal:  Atten Percept Psychophys       Date:  2017-11       Impact factor: 2.199

8.  Separating memoranda in depth increases visual working memory performance.

Authors:  Chaipat Chunharas; Rosanne L Rademaker; Thomas C Sprague; Timothy F Brady; John T Serences
Journal:  J Vis       Date:  2019-01-02       Impact factor: 2.240

9.  Serial dependence in the perception of visual variance.

Authors:  Marta Suárez-Pinilla; Anil K Seth; Warrick Roseboom
Journal:  J Vis       Date:  2018-07-02       Impact factor: 2.240

10.  Memory-based attention capture when multiple items are maintained in visual working memory.

Authors:  Andrew Hollingworth; Valerie M Beck
Journal:  J Exp Psychol Hum Percept Perform       Date:  2016-04-28       Impact factor: 3.332

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