Discrimination of mnemonic similarity is associated with short-term and long-term memory precision.

Long-term memory Memory precision Pattern separation Short-term memory

Journal

Memory & cognition
ISSN: 1532-5946
Titre abrégé: Mem Cognit
Pays: United States
ID NLM: 0357443

Informations de publication

Date de publication:
21 Oct 2024
Historique:
accepted: 02 10 2024
medline: 22 10 2024
pubmed: 22 10 2024
entrez: 21 10 2024
Statut: aheadofprint

Résumé

Remembering specific memories with precision relies on the differentiation of similar memory contents - a process commonly referred to as pattern separation and behaviorally operationalized as lure discrimination in the mnemonic similarity task. Although pattern separation is typically investigated in the context of long-term memory (LTM), recent research extends these findings to short-term memory (STM) within a mixture model framework, emphasizing the distinction between memory quality and quantity. According to this framework, pattern separation is associated with memory precision across STM and LTM, regardless of the overall memory likelihood. However, these associations among memory quality measures may persist without the mixture model assumption. In an alternative model, a unitary memory strength measure quantified as a discrimination score (d') may also capture the association between pattern separation and memory quality, as pattern separation has been previously linked with strength-based memory performance. We tested these possibilities based on individual differences among 132 participants who underwent tasks measuring mnemonic pattern separation and STM/LTM quality. We found that behavioral estimates of pattern separation are significantly correlated with STM and LTM precision, irrespective of the likelihood of STM/LTM recall success. However, these associations are absent when considering the correlation between pattern separation and memory strength under a unitary model framework. By leveraging individual differences to constrain our understanding of cognitive models, our data unravel the intricate relationship between pattern separation and memory quality across timescales. These findings may therefore contribute to identifying sensitive behavioral measures for detecting subtle memory deficits in older adults or clinical populations.

Identifiants

pubmed: 39433697
doi: 10.3758/s13421-024-01648-y
pii: 10.3758/s13421-024-01648-y
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© 2024. The Psychonomic Society, Inc.

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Auteurs

Weizhen Xie (W)

Department of Psychology, University of Maryland, College Park, MD, USA. zanexie@umd.edu.

Tianye Ma (T)

Department of Psychology, University of California, Riverside, CA, USA.

Sanikaa Thakurdesai (S)

Department of Psychology, University of Maryland, College Park, MD, USA.

Inik Kim (I)

Department of Psychology, University of California, Riverside, CA, USA.

Weiwei Zhang (W)

Department of Psychology, University of California, Riverside, CA, USA.

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