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Spatial gist extraction during human memory consolidation.

Authors :
Antony JW
Stiver CA
Graves KN
Osborne J
Turk-Browne NB
Bennion KA
Source :
Journal of experimental psychology. Learning, memory, and cognition [J Exp Psychol Learn Mem Cogn] 2022 Jul; Vol. 48 (7), pp. 929-941. Date of Electronic Publication: 2021 Jul 29.
Publication Year :
2022

Abstract

Theories of memory consolidation suggest that initially rich, vivid memories become more gist-like over time. However, it is unclear whether gist-like representations reflect a loss of detail through degradation or the blending of experiences into statistical averages, and whether the strength of these representations increases, decreases, or remains stable over time. We report three behavioral experiments that address these questions by examining distributional learning during spatial navigation. In Experiment 1, human subjects navigated a virtual maze to find hidden objects with locations varying according to spatial distributions. After 15 minutes, 1 day, 7 days, or 28 days, we tested their navigation performance and explicit memory. In Experiment 2, we created spatial distributions with no object at their mean locations, thereby disentangling learned object exemplars from statistical averages. In Experiment 3, we created only a single, bimodal distribution to avoid possible confusion between distributions and administered tests after 15 minutes or 28 days. Across all experiments, and for both navigation and explicit tests, representations of the spatial distributions were present soon after exposure, but then receded over time. These findings suggest gist-like representations do not improve over time, helping to clarify the temporal dynamics of consolidation in human learning and memory. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Details

Language :
English
ISSN :
1939-1285
Volume :
48
Issue :
7
Database :
MEDLINE
Journal :
Journal of experimental psychology. Learning, memory, and cognition
Publication Type :
Academic Journal
Accession number :
34323577
Full Text :
https://doi.org/10.1037/xlm0000894