Time for Memories.
Published In: Journal of Neuroscience, 2023, v. 43, n. 45. P. 7565 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Buonomano, Dean V.; Buzsáki, György; Davachi, Lila; Nobre, Anna C. 3 of 3
Abstract
The ability to store information about the past to dynamically predict and prepare for the future is among the most fundamental tasks the brain performs. To date, the problems of understanding how the brain stores and organizes information about the past (memory) and how the brain represents and processes temporal information for adaptive behavior have generally been studied as distinct cognitive functions. This Symposium explores the inherent link between memory and temporal cognition, as well as the potential shared neural mechanisms between them. We suggest that working memory and implicit timing are interconnected and may share overlapping neural mechanisms. Additionally, we explore how temporal structure is encoded in associative and episodic memory and, conversely, the influences of episodic memory on subsequent temporal anticipation and the perception of time. We suggest that neural sequences provide a general computational motif that contributes to timing and working memory, as well as the spatiotemporal coding and recall of episodes. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:Journal of Neuroscience. 2023/11, Vol. 43, Issue 45, p7565
- Document Type:Article
- Subject Area:Psychology
- Publication Date:2023
- ISSN:0270-6474
- DOI:10.1523/JNEUROSCI.1430-23.2023
- Accession Number:173581388
- Copyright Statement:Copyright of Journal of Neuroscience is the property of Society for Neuroscience and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Looking to go deeper into this topic? Look for more articles on EBSCOhost.