Attentional flexibility and prioritization improves long-term memory.

Attention Cognitive control Long-term memory Maintenance Reward Working memory

Journal

Acta psychologica
ISSN: 1873-6297
Titre abrégé: Acta Psychol (Amst)
Pays: Netherlands
ID NLM: 0370366

Informations de publication

Date de publication:
Jul 2020
Historique:
received: 15 01 2020
revised: 10 04 2020
accepted: 20 05 2020
pubmed: 6 7 2020
medline: 29 10 2020
entrez: 5 7 2020
Statut: ppublish

Résumé

Recent evidence suggests the focus of attention (FoA) is a flexible resource within working memory (WM) used to temporarily maintain some information in a highly accessible state. This flexibility comes at the expense of other representations, demonstrating a resource trade-off in WM maintenance. The present experiments evaluate how flexibility within the FoA impacts long-term memory (LTM) for semantically meaningful information. A WM probe-recognition task was used in which two items were presented in black and a single item was presented in red. To encourage the prioritization and uninterrupted preferential maintenance of specific items, a process we call online refreshing, the red item was associated with a greater point-reward value than were the black items. This WM task was followed by a surprise delayed LTM test. In Experiment 1, the FoA flexibly adjusted to maintain non-recent semantic information with evidence for a resource trade-off across list positions. Flexibility also directly improved LTM. In Experiment 2, reward value was equated across red and black items to evaluate whether an alternative explanation, distinctiveness of encoding, could account for the LTM findings. When reward value was equated, the cued item did not encourage flexible orienting of the FoA toward non-recent items and there was no benefit of the distinct red item on LTM performance. While supportive of past research, these data further demonstrate that semantic information can be flexibly prioritized at the expense of other list positions and that this is directly tied to improvements in LTM.

Identifiants

pubmed: 32622150
pii: S0001-6918(20)30021-4
doi: 10.1016/j.actpsy.2020.103104
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

103104

Informations de copyright

Copyright © 2020 Elsevier B.V. All rights reserved.

Auteurs

Joshua Sandry (J)

Psychology Department, Montclair State University, Montclair, NJ, USA. Electronic address: sandryj@montclair.edu.

Mark D Zuppichini (MD)

School of Behavioral and Brain Sciences, University of Texas at Dallas, Richardson, TX, USA.

Timothy J Ricker (TJ)

Department of Psychology, College of Staten Island, City University of New York, Staten Island, NY, USA.

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Classifications MeSH