Article (Scientific journals)
How Does Semantic Knowledge Impact Working Memory Maintenance? Computational and Behavioral Investigations
Kowialiewski, Benjamin; Lemaire, Benoît; Portrat, Sophie
2021In Journal of Memory and Language, 117, p. 104208
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Keywords :
Working memory; Semantic knowledge; Computational models; TBRS
Abstract :
[en] It is now firmly established that long-term memory knowledge, such as semantic knowledge, supports the temporary maintenance of verbal information in Working Memory (WM). This support from semantic knowledge is well-explained by models assuming that verbal items are directly activated in long-term memory, and that this activation provides the representational basis for WM maintenance. However, the exact mechanisms underlying semantic influence on WM performance remain poorly understood. We manipulated the presence of between-item semantic relatedness in an immediate serial recall task, by mixing triplets composed of semantically related and unrelated items (e.g. leaf – tree – branch – wall – beer – dog; hand – father – truck – cloud – sky – rain). Compared to unrelated items, related items were better recalled, as had been classically observed. Critically, semantic relatedness also impacted WM maintenance in a complex manner, as observed by the presence of proactive benefit effects on subsequent unrelated items, and the absence of retroactive effects. The complexity of these interactions is well-captured by TBRS*-S, a decay-based computational architecture in which the activation occurring in long-term memory is described. The present study suggests that semantic knowledge can be used to free up WM resources that can be reallocated for maintenance purposes, and supports models postulating that long-term memory knowledge constrains WM maintenance processes.
Disciplines :
Theoretical & cognitive psychology
Author, co-author :
Kowialiewski, Benjamin  ;  Université de Liège - ULiège > Département de Psychologie > Département de Psychologie
Lemaire, Benoît
Portrat, Sophie
Language :
English
Title :
How Does Semantic Knowledge Impact Working Memory Maintenance? Computational and Behavioral Investigations
Publication date :
April 2021
Journal title :
Journal of Memory and Language
ISSN :
0749-596X
eISSN :
1096-0821
Publisher :
Elsevier, Atlanta, United States - California
Volume :
117
Pages :
104208
Peer reviewed :
Peer Reviewed verified by ORBi
Available on ORBi :
since 11 March 2021

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