Show Summary Details

Page of

PRINTED FROM OXFORD HANDBOOKS ONLINE ( © Oxford University Press, 2018. All Rights Reserved. Under the terms of the licence agreement, an individual user may print out a PDF of a single chapter of a title in Oxford Handbooks Online for personal use (for details see Privacy Policy and Legal Notice).

date: 06 March 2021

Abstract and Keywords

Episodic memory refers to memory for specific episodes from one’s life, such as working in the garden yesterday afternoon while enjoying the warm sun and chirping birds. In the laboratory, the study of episodic memory has been dominated by two tasks: single item recognition and recall. In single item recognition, participants are simply presented a cue and asked if they remember it appearing during the event in question (e.g., a specific flower from the garden) and in free recall they are asked to generate all aspects of the event. Models of episodic memory have focused on describing detailed patterns of performance in these and other laboratory tasks believed to be sensitive to episodic memory. This chapter reviews models with a focus on models of recognition with a specific emphasis on REM (Shiffrin & Steyvers, 1997) and models of recall with a focus on TCM (Howard & Kahana, 2002). We conclude that the current state of affairs, with no unified model of multiple memory tasks, is unsatisfactory and offer suggestions for addressing this gap.

Keywords: episodic memory, computational modeling, free recall, recognition

Access to the complete content on Oxford Handbooks Online requires a subscription or purchase. Public users are able to search the site and view the abstracts and keywords for each book and chapter without a subscription.

Please subscribe or login to access full text content.

If you have purchased a print title that contains an access token, please see the token for information about how to register your code.

For questions on access or troubleshooting, please check our FAQs, and if you can''t find the answer there, please contact us.