JOURNAL ARTICLE

Accuracy and reconstruction in autobiographical memory: (Re)consolidating neuroscience and sociocultural developmental approaches.

  • Published In: WIREs: Cognitive Science, 2023, v. 14, n. 3. P. 1 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Fivush, Robyn; Grysman, Azriel 3 of 3

Abstract

Autobiographical memories are never isolated episodes; they are embedded in a network that is continually updated and prediction driven. We present autobiographical memory as a meaning‐driven process that includes both veridical traces and reconstructive schemas. Our developmental approach delineates how autobiographical memory develops across childhood and throughout adulthood, and our sociocultural approach examines the ways in which autobiographical memories are shaped by everyday social interactions embedded within cultural worldviews. These approaches are enhanced by a focus on autobiographical memory functions, namely self‐coherence, social embeddedness, and directing future behaviors. Neuroscience models of memory outlined in multiple trace and trace transformation theories and perceptual principles of predictive processing establish mechanisms and frameworks into which autobiographical memory processes are incorporated. Rather than conceptualizing autobiographical and episodic memories as accurate versus error‐prone, we frame memory as a dynamic process that is continuously updated to create coherent meaning for individuals living in complex sociocultural worlds. Autobiographical memory is a process of both accuracy and error, an intricate weaving of specific episodic details, inferences and confusions among similar experiences; it incorporates post‐event information through reminiscing and conversations, in the service of creating more meaningful coherent memories that define self, others, and the world. This article is categorized under:Psychology > Memory [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:WIREs: Cognitive Science. 2023/05, Vol. 14, Issue 3, p1
  • Document Type:Article
  • Subject Area:Health and Medicine
  • Publication Date:2023
  • ISSN:1939-5078
  • DOI:10.1002/wcs.1620
  • Accession Number:163813053
  • Copyright Statement:Copyright of WIREs: Cognitive Science is the property of Wiley-Blackwell 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.)

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