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18 - Computational Models of Episodic Memory

from Part III - Computational Modeling of Basic Cognitive Functionalities

Published online by Cambridge University Press:  21 April 2023

By
Per B. Sederberg  and
Kevin P. Darby
Edited by
Ron Sun
Ron Sun
Affiliation:
Rensselaer Polytechnic Institute, New York
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Summary

Computational models of episodic memory provide tools to better understand the latent neurocognitive processes underlying retention of information about specific events from one’s life. This chapter discusses the representations, associations, and dynamics of influential models of episodic memory, with particular emphasis on models of recognition and free recall tasks. In-depth discussion and model-fitting results of four models – the retrieving effectively from memory (REM) model, the bind cue decide model of episodic memory (BCDMEM), the search of associative memory (SAM) model, and the temporal context model (TCM) – are provided to facilitate understanding of these models, as well as similarities and differences between them. Alternative modeling frameworks, including neural network models, are discussed. Throughout, the importance of context in models of episodic memory is emphasized, particularly for free recall tasks.

Keywords

computational modelsepisodic memorycontextbind cue decide model of episodic memory (BCDMEM)retrieving effectively from memory (REM)search of associative memory (SAM)temporal context model (TCM)
Type
Chapter
Information
The Cambridge Handbook of Computational Cognitive Sciences , pp. 567 - 610
Publisher: Cambridge University Press
Print publication year: 2023

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