Distinct mechanisms and functions of episodic memory.

episodic memory traces hippocampus mental time travel scenario construction semantic information

Journal

Philosophical transactions of the Royal Society of London. Series B, Biological sciences
ISSN: 1471-2970
Titre abrégé: Philos Trans R Soc Lond B Biol Sci
Pays: England
ID NLM: 7503623

Informations de publication

Date de publication:
04 Nov 2024
Historique:
medline: 16 9 2024
pubmed: 16 9 2024
entrez: 15 9 2024
Statut: ppublish

Résumé

The concept of episodic memory (EM) faces significant challenges by two claims: EM might not be a distinct memory system, and EM might be an epiphenomenon of a more general capacity for mental time travel (MTT). Nevertheless, the observations leading to these arguments do not preclude the existence of a mechanically and functionally distinct EM system. First, modular systems, like cognition, can have distinct subsystems that may not be distinguishable in the system's final output. EM could be such a subsystem, even though its effects may be difficult to distinguish from those of other subsystems. Second, EM could have a distinct and consistent low-level function, which is used in diverse high-level functions such as MTT. This article introduces the scenario construction framework, proposing that EM crucially rests on memory traces containing the gist of an episodic experience. During retrieval, EM traces trigger the reconstruction of semantic representations, which were active during the remembered episode, and are further enriched with semantic information, to generate a scenario of the past experience. This conceptualization of EM is consistent with studies on the neural basis of EM and resolves the two challenges while retaining the key properties associated with EM. This article is part of the theme issue 'Elements of episodic memory: lessons from 40 years of research'.

Identifiants

pubmed: 39278239
doi: 10.1098/rstb.2023.0411
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

20230411

Subventions

Organisme : Deutsche Forschungsgemeinschaft
ID : grant 397530566-FOR 2812, P2

Auteurs

Sen Cheng (S)

Institute for Neural Computation Faculty of Computer Science, Ruhr University Bochum , Bochum 44780, Germany.

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Classifications MeSH