Literature DB >> 23850263

Visual working memory capacity: from psychophysics and neurobiology to individual differences.

Steven J Luck1, Edward K Vogel.   

Abstract

Visual working memory capacity is of great interest because it is strongly correlated with overall cognitive ability, can be understood at the level of neural circuits, and is easily measured. Recent studies have shown that capacity influences tasks ranging from saccade targeting to analogical reasoning. A debate has arisen over whether capacity is constrained by a limited number of discrete representations or by an infinitely divisible resource, but the empirical evidence and neural network models currently favor a discrete item limit. Capacity differs markedly across individuals and groups, and recent research indicates that some of these differences reflect true differences in storage capacity whereas others reflect variations in the ability to use memory capacity efficiently.
Copyright © 2013 Elsevier Ltd. All rights reserved.

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Year:  2013        PMID: 23850263      PMCID: PMC3729738          DOI: 10.1016/j.tics.2013.06.006

Source DB:  PubMed          Journal:  Trends Cogn Sci        ISSN: 1364-6613            Impact factor:   20.229


  74 in total

1.  A cortical mechanism for binding in visual working memory.

Authors:  A Raffone; G Wolters
Journal:  J Cogn Neurosci       Date:  2001-08-15       Impact factor: 3.225

2.  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

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.  Brain oscillatory substrates of visual short-term memory capacity.

Authors:  Paul Sauseng; Wolfgang Klimesch; Kirstin F Heise; Walter R Gruber; Elisa Holz; Ahmed A Karim; Mark Glennon; Christian Gerloff; Niels Birbaumer; Friedhelm C Hummel
Journal:  Curr Biol       Date:  2009-11-17       Impact factor: 10.834

5.  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

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

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

Review 7.  Change blindness: past, present, and future.

Authors:  Daniel J Simons; Ronald A Rensink
Journal:  Trends Cogn Sci       Date:  2005-01       Impact factor: 20.229

Review 8.  A computational theory of executive cognitive processes and multiple-task performance: Part 1. Basic mechanisms.

Authors:  D E Meyer; D E Kieras
Journal:  Psychol Rev       Date:  1997-01       Impact factor: 8.934

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

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

10.  Visual working memory capacity and proactive interference.

Authors:  Joshua K Hartshorne
Journal:  PLoS One       Date:  2008-07-23       Impact factor: 3.240

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  261 in total

1.  Parietal cortex integrates contextual and saliency signals during the encoding of natural scenes in working memory.

Authors:  Valerio Santangelo; Simona Arianna Di Francesco; Serena Mastroberardino; Emiliano Macaluso
Journal:  Hum Brain Mapp       Date:  2015-09-03       Impact factor: 5.038

2.  Stimulus Load and Oscillatory Activity in Higher Cortex.

Authors:  Simon Kornblith; Timothy J Buschman; Earl K Miller
Journal:  Cereb Cortex       Date:  2015-08-18       Impact factor: 5.357

3.  Set size effects on working memory precision are not due to an averaging of slots.

Authors:  Michael S Pratte
Journal:  Atten Percept Psychophys       Date:  2020-08       Impact factor: 2.199

4.  The transition from feature to object: Storage unit in visual working memory depends on task difficulty.

Authors:  Jiehui Qian; Ke Zhang; Shengxi Liu; Quan Lei
Journal:  Mem Cognit       Date:  2019-11

5.  Can an app help identify psychomotor function impairments during drinking occasions in the real world? A mixed-method pilot study.

Authors:  Brian Suffoletto; Akash Goyal; Juan Carlos Puyana; Tammy Chung
Journal:  Subst Abus       Date:  2017 Oct-Dec       Impact factor: 3.716

6.  Dynamic range of frontoparietal functional modulation is associated with working memory capacity limitations in older adults.

Authors:  Jonathan G Hakun; Nathan F Johnson
Journal:  Brain Cogn       Date:  2017-08-31       Impact factor: 2.310

7.  Distinguishing cognitive effort and working memory load using scale-invariance and alpha suppression in EEG.

Authors:  Omid Kardan; Kirsten C S Adam; Irida Mance; Nathan W Churchill; Edward K Vogel; Marc G Berman
Journal:  Neuroimage       Date:  2020-02-14       Impact factor: 6.556

8.  Taming the beast: extracting generalizable knowledge from computational models of cognition.

Authors:  Matthew R Nassar; Michael J Frank
Journal:  Curr Opin Behav Sci       Date:  2016-10

Review 9.  Revisiting the role of persistent neural activity during working memory.

Authors:  Kartik K Sreenivasan; Clayton E Curtis; Mark D'Esposito
Journal:  Trends Cogn Sci       Date:  2014-01-14       Impact factor: 20.229

10.  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

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