Literature DB >> 21859231

What limits working memory capacity? Evidence for modality-specific sources to the simultaneous storage of visual and auditory arrays.

Daryl Fougnie1, René Marois.   

Abstract

There is considerable debate on whether working memory (WM) storage is mediated by distinct subsystems for auditory and visual stimuli (Baddeley, 1986) or whether it is constrained by a single, central capacity-limited system (Cowan, 2006). Recent studies have addressed this issue by measuring the dual-task cost during the concurrent storage of auditory and visual arrays (e.g., Cocchini, Logie, Della Sala, MacPherson, & Baddeley, 2002; Fougnie & Marois, 2006; Saults & Cowan, 2007). However, studies have yielded widely different dual-task costs, which have been taken to support both modality-specific and central capacity-limit accounts of WM storage. Here, we demonstrate that the controversies regarding such costs mostly stem from how these costs are measured. Measures that compare combined dual-task capacity with the higher single-task capacity support a single, central WM store when there is a large disparity between the single-task capacities (Experiment 1) but not when the single-task capacities are well equated (Experiment 2). In contrast, measures of the dual-task cost that normalize for differences in single-task capacity reveal evidence for modality-specific stores, regardless of single-task performance. Moreover, these normalized measures indicate that dual-task cost is much smaller if the tasks do not involve maintaining bound feature representations in WM (Experiment 3). Taken together, these experiments not only resolve a discrepancy in the field and clarify how to assess the dual-task cost but also indicate that WM capacity can be constrained both by modality-specific and modality-independent sources of information processing.

Entities:  

Mesh:

Year:  2011        PMID: 21859231      PMCID: PMC4156106          DOI: 10.1037/a0024834

Source DB:  PubMed          Journal:  J Exp Psychol Learn Mem Cogn        ISSN: 0278-7393            Impact factor:   3.051


  63 in total

1.  Storage of features, conjunctions and objects in visual working memory.

Authors:  E K Vogel; G F Woodman; S J Luck
Journal:  J Exp Psychol Hum Percept Perform       Date:  2001-02       Impact factor: 3.332

2.  Interference with visual short-term memory.

Authors:  R H Logie; G M Zucco; A D Baddeley
Journal:  Acta Psychol (Amst)       Date:  1990-10

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

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

4.  Feature binding in visual short-term memory is unaffected by task-irrelevant changes of location, shape, and color.

Authors:  Robert H Logie; James R Brockmole; Snehlata Jaswal
Journal:  Mem Cognit       Date:  2011-01

5.  Distinct capacity limits for attention and working memory: Evidence from attentive tracking and visual working memory paradigms.

Authors:  Daryl Fougnie; René Marois
Journal:  Psychol Sci       Date:  2006-06

6.  Aging of attention: does the ability to divide decline?

Authors:  T A Salthouse; N M Fristoe; T T Lineweaver; V E Coon
Journal:  Mem Cognit       Date:  1995-01

7.  Correlations of cortical Hebbian reverberations: theory versus experiment.

Authors:  D J Amit; N Brunel; M V Tsodyks
Journal:  J Neurosci       Date:  1994-11       Impact factor: 6.167

8.  Attentive Tracking Disrupts Feature Binding in Visual Working Memory.

Authors:  Daryl Fougnie; René Marois
Journal:  Vis cogn       Date:  2009-01-01

9.  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

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

View more
  22 in total

1.  Introduction to the special issue on visual working memory.

Authors:  Jeremy M Wolfe
Journal:  Atten Percept Psychophys       Date:  2014-10       Impact factor: 2.199

2.  Working Memory Underpins Cognitive Development, Learning, and Education.

Authors:  Nelson Cowan
Journal:  Educ Psychol Rev       Date:  2014-06-01

3.  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

4.  Low-frequency rTMS in the superior parietal cortex affects the working memory in horizontal axis during the spatial task performance.

Authors:  Jéssica Alves Ribeiro; Francisco Victor Costa Marinho; Kaline Rocha; Francisco Magalhães; Abrahão Fontes Baptista; Bruna Velasques; Pedro Ribeiro; Mauricio Cagy; Victor Hugo Bastos; Daya Gupta; Silmar Teixeira
Journal:  Neurol Sci       Date:  2018-01-12       Impact factor: 3.307

5.  Detection of the number of changes in a display in working memory.

Authors:  Nelson Cowan; Kyle Hardman; J Scott Saults; Christopher L Blume; Katherine M Clark; Mackenzie A Sunday
Journal:  J Exp Psychol Learn Mem Cogn       Date:  2015-08-10       Impact factor: 3.051

6.  Multisensory Facilitation of Working Memory Training.

Authors:  Anja Pahor; Cindy Collins; Rachel N Smith; Austin Moon; Trevor Stavropoulos; Ilse Silva; Elaine Peng; Susanne M Jaeggi; Aaron R Seitz
Journal:  J Cogn Enhanc       Date:  2020-11-27

7.  Long-term memory representations for audio-visual scenes.

Authors:  Hauke S Meyerhoff; Oliver Jaggy; Frank Papenmeier; Markus Huff
Journal:  Mem Cognit       Date:  2022-09-13

8.  Constraints of attention, stimulus modality, and feature similarity in working memory.

Authors:  Yu Li; Nelson Cowan
Journal:  Atten Percept Psychophys       Date:  2022-09-19       Impact factor: 2.157

9.  Short-term memory stores organized by information domain.

Authors:  Abigail L Noyce; Nishmar Cestero; Barbara G Shinn-Cunningham; David C Somers
Journal:  Atten Percept Psychophys       Date:  2016-04       Impact factor: 2.199

10.  Resource allocation and prioritization in auditory working memory.

Authors:  S Kumar; S Joseph; B Pearson; S Teki; Z V Fox; T D Griffiths; M Husain
Journal:  Cogn Neurosci       Date:  2013-08-21       Impact factor: 3.065

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.