Working memory and active sampling of the environment: Medial temporal contributions.

Active sampling Contextual cueing Covert attention Entorhinal cortex Eye movements Fixation Hippocampus Medial temporal lobe Saccades Ventral occipital cortex Working memory

Journal

Handbook of clinical neurology
ISSN: 0072-9752
Titre abrégé: Handb Clin Neurol
Pays: Netherlands
ID NLM: 0166161

Informations de publication

Date de publication:
2022
Historique:
entrez: 14 8 2022
pubmed: 15 8 2022
medline: 17 8 2022
Statut: ppublish

Résumé

Working memory (WM) refers to the ability to maintain and actively process information-either derived from perception or long-term memory (LTM)-for intelligent thought and action. This chapter focuses on the contributions of the temporal lobe, particularly medial temporal lobe (MTL) to WM. First, neuropsychological evidence for the involvement of MTL in WM maintenance is reviewed, arguing for a crucial role in the case of retaining complex relational bindings between memorized features. Next, MTL contributions at the level of neural mechanisms are covered-with a focus on WM encoding and maintenance, including interactions with ventral temporal cortex. Among WM use processes, we focus on active sampling of environmental information, a key input source to capacity-limited WM. MTL contributions to the bidirectional relationship between active sampling and memory are highlighted-WM control of active sampling and sampling as a way of selecting input to WM. Memory-based sampling studies relying on scene and object inspection, visual-based exploration behavior (e.g., vicarious behavior), and memory-guided visual search are reviewed. The conclusion is that MTL serves an important function in the selection of information from perception and transfer from LTM to capacity-limited WM.

Identifiants

pubmed: 35964982
pii: B978-0-12-823493-8.00029-8
doi: 10.1016/B978-0-12-823493-8.00029-8
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

339-357

Informations de copyright

Copyright © 2022 Elsevier B.V. All rights reserved.

Auteurs

Stefan Pollmann (S)

Department of Psychology and Center for Behavioral Brain Sciences, Otto-von-Guericke-University, Magdeburg, Germany. Electronic address: stefan.pollmann@ovgu.de.

Werner X Schneider (WX)

Department of Psychology and Center for Cognitive Interaction Technology, Bielefeld University, Bielefeld, Germany.

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Classifications MeSH