Literature DB >> 21340444

Visual working memory capacity and stimulus categories: a behavioral and electrophysiological investigation.

Sofia Diamantopoulou1, Leo Poom, Peter Klaver, Durk Talsma.   

Abstract

It has recently been suggested that visual working memory capacity may vary depending on the type of material that has to be memorized. Here, we use a delayed match-to-sample paradigm and event-related potentials (ERP) to investigate the neural correlates that are linked to these changes in capacity. A variable number of stimuli (1-4) were presented in each visual hemifield. Participants were required to selectively memorize the stimuli presented in one hemifield. Following memorization, a test stimulus was presented that had to be matched against the memorized item(s). Two types of stimuli were used: one set consisting of discretely different objects (discrete stimuli) and one set consisting of more continuous variations along a single dimension (continuous stimuli). Behavioral results indicate that memory capacity was much larger for the discrete stimuli, when compared with the continuous stimuli. This behavioral effect correlated with an increase in a contralateral negative slow wave ERP component that is known to be involved in memorization. We therefore conclude that the larger working memory capacity for discrete stimuli can be directly related to an increase in activity in visual areas and propose that this increase in visual activity is due to interactions with other, non-visual representations.

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Year:  2011        PMID: 21340444     DOI: 10.1007/s00221-011-2536-z

Source DB:  PubMed          Journal:  Exp Brain Res        ISSN: 0014-4819            Impact factor:   1.972


  36 in total

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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.  Capacity limit of visual short-term memory in human posterior parietal cortex.

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Journal:  Nature       Date:  2004-04-15       Impact factor: 49.962

3.  Auto-adaptive averaging: detecting artifacts in event-related potential data using a fully automated procedure.

Authors:  Durk Talsma
Journal:  Psychophysiology       Date:  2007-10-26       Impact factor: 4.016

4.  Binding feature dimensions in visual short-term memory.

Authors:  Leo Poom; Henrik Olsson
Journal:  Acta Psychol (Amst)       Date:  2009-04-16

5.  Removal of the ocular artifact from the EEG: a comparison of time and frequency domain methods with simulated and real data.

Authors:  J L Kenemans; P C Molenaar; M N Verbaten; J L Slangen
Journal:  Psychophysiology       Date:  1991-01       Impact factor: 4.016

6.  Neural measures reveal individual differences in controlling access to working memory.

Authors:  Edward K Vogel; Andrew W McCollough; Maro G Machizawa
Journal:  Nature       Date:  2005-11-24       Impact factor: 49.962

7.  Contralateral delay activity provides a neural measure of the number of representations in visual working memory.

Authors:  Akiko Ikkai; Andrew W McCollough; Edward K Vogel
Journal:  J Neurophysiol       Date:  2010-02-10       Impact factor: 2.714

8.  Electrophysiological evidence of the capture of visual attention.

Authors:  Clayton Hickey; John J McDonald; Jan Theeuwes
Journal:  J Cogn Neurosci       Date:  2006-04       Impact factor: 3.225

Review 9.  A neural system for human visual working memory.

Authors:  L G Ungerleider; S M Courtney; J V Haxby
Journal:  Proc Natl Acad Sci U S A       Date:  1998-02-03       Impact factor: 11.205

10.  Verbal coding and the storage of form-position associations in visual-spatial short-term memory.

Authors:  Kevin Dent; Mary M Smyth
Journal:  Acta Psychol (Amst)       Date:  2005-10
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  7 in total

1.  The reliability and internal consistency of one-shot and flicker change detection for measuring individual differences in visual working memory capacity.

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Journal:  Mem Cognit       Date:  2015-04

Review 2.  The contralateral delay activity as a neural measure of visual working memory.

Authors:  Roy Luria; Halely Balaban; Edward Awh; Edward K Vogel
Journal:  Neurosci Biobehav Rev       Date:  2016-01-21       Impact factor: 8.989

Review 3.  A multisensory perspective of working memory.

Authors:  Michel Quak; Raquel Elea London; Durk Talsma
Journal:  Front Hum Neurosci       Date:  2015-04-21       Impact factor: 3.169

4.  Visual working memory capacity for color is independent of representation resolution.

Authors:  Chaoxiong Ye; Lingcong Zhang; Taosheng Liu; Hong Li; Qiang Liu
Journal:  PLoS One       Date:  2014-03-11       Impact factor: 3.240

5.  An unpleasant emotional state reduces working memory capacity: electrophysiological evidence.

Authors:  Jessica S B Figueira; Leticia Oliveira; Mirtes G Pereira; Luiza B Pacheco; Isabela Lobo; Gabriel C Motta-Ribeiro; Isabel A David
Journal:  Soc Cogn Affect Neurosci       Date:  2017-06-01       Impact factor: 3.436

6.  Coarse-to-fine construction for high-resolution representation in visual working memory.

Authors:  Zaifeng Gao; Xiaowei Ding; Tong Yang; Junying Liang; Rende Shui
Journal:  PLoS One       Date:  2013-02-28       Impact factor: 3.240

7.  Neural processing of working memory in adults with ADHD in a visuospatial change detection task with distractors.

Authors:  Chao Gu; Zhong-Xu Liu; Rosemary Tannock; Steven Woltering
Journal:  PeerJ       Date:  2018-09-18       Impact factor: 2.984

  7 in total

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