Abstract

We investigated memory encoding and retrieval during a quasi-naturalistic spatial-episodic memory task in which subjects delivered items to landmarks in a desktop virtual environment and later recalled the delivered items. Transition probabilities and latencies revealed the spatial and temporal organization of memory. As subjects gained experience with the town, their improved spatial knowledge led to more efficient navigation and increased spatial organization during recall. Subjects who exhibited stronger spatial organization exhibited weaker temporal organization. Scalp-recorded electroencephalographic (EEG) signals revealed spectral correlates of successful encoding and retrieval. Increased theta power (T + ) and decreased alpha/beta power (A−) accompanied successful encoding, with the addition of increased gamma (G+) accompanying successful retrieval. Logistic-regression classifiers trained on spectral features reliably predicted mnemonic success in held-out sessions. Univariate and multivariate EEG analyses revealed a similar spectral T+A−G+ of successful memory. These findings extend behavioral and neural signatures of successful encoding and retrieval to a naturalistic task in which learning occurs within a spatiotemporal context.

Competing Interest Statement

The authors have declared no competing interest.

Footnotes

* Introduction revised to more clearly state theoretical implications of this work; all stats now include effect sizes and confidence intervals

* http://memory.psych.upenn.edu/data

Details

Title
Neural correlates of memory in a naturalistic spatiotemporal context
Author
Dougherty, Matthew R; Chang, Woohyeuk; Rudoler, Joseph H; Katerman, Brandon S; Halpern, David; Bruska, James P; Diamond, Nicholas; Kahana, Michael J
University/institution
Cold Spring Harbor Laboratory Press
Section
New Results
Publication year
2024
Publication date
Feb 1, 2024
Publisher
Cold Spring Harbor Laboratory Press
ISSN
2692-8205
Source type
Working Paper
Language of publication
English
ProQuest document ID
2743794990
Copyright
© 2024. This article is published under http://creativecommons.org/licenses/by-nd/4.0/ (“the License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.