UZH-Logo

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


Diamantopoulou, S; Poom, L; Klaver, P; Talsma, D (2011). Visual working memory capacity and stimulus categories: a behavioral and electrophysiological investigation. Experimental Brain Research, 209(4):501-513.

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.

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.

Citations

16 citations in Web of Science®
15 citations in Scopus®
Google Scholar™

Altmetrics

Downloads

3 downloads since deposited on 27 May 2011
0 downloads since 12 months
Detailed statistics

Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:04 Faculty of Medicine > University Children's Hospital Zurich > Medical Clinic
04 Faculty of Medicine > Center for Integrative Human Physiology
06 Faculty of Arts > Institute of Psychology
Dewey Decimal Classification:570 Life sciences; biology
150 Psychology
610 Medicine & health
Uncontrolled Keywords:Electrophysiology, Short-term memory, Slow-potential, Categories
Language:English
Date:2011
Deposited On:27 May 2011 12:53
Last Modified:05 Apr 2016 14:55
Publisher:Springer
ISSN:0014-4819
Publisher DOI:10.1007/s00221-011-2536-z
Permanent URL: http://doi.org/10.5167/uzh-48194

Download

[img]
Filetype: PDF - Registered users only
Size: 1MB
View at publisher

TrendTerms

TrendTerms displays relevant terms of the abstract of this publication and related documents on a map. The terms and their relations were extracted from ZORA using word statistics. Their timelines are taken from ZORA as well. The bubble size of a term is proportional to the number of documents where the term occurs. Red, orange, yellow and green colors are used for terms that occur in the current document; red indicates high interlinkedness of a term with other terms, orange, yellow and green decreasing interlinkedness. Blue is used for terms that have a relation with the terms in this document, but occur in other documents.
You can navigate and zoom the map. Mouse-hovering a term displays its timeline, clicking it yields the associated documents.

Author Collaborations