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19 - Computational Neuroscience Models of Working Memory

from Part III - Computational Modeling of Basic Cognitive Functionalities

Published online by Cambridge University Press:  21 April 2023

By
Thomas E. Hazy ,
Michael J. Frank  and
Randall C. O’Reilly
Edited by
Ron Sun
Ron Sun
Affiliation:
Rensselaer Polytechnic Institute, New York
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Summary

The focus of this chapter is on neurobiologically informed and constrained models of working memory as defined by Miller, Galanter, and Pribram (1960): the holding of goals and subgoals in mind in service of planning and executing complex behaviors. In particular, the chapter focuses on models specifically addressing critical challenges and mechanisms following from the need for rapid and selective gating of working memory contents. To start, the important computational challenges posed by the tradeoff between maintaining vs. updating are discussed, providing motivation for the rest of the chapter.After that, several seminal models that have contributed to current thinking are reviewed, including the authors’ own PBWM framework that has proven influential. Finally, several recent developments from the deep learning and neurophysiology literatures are addressed and critical questions and some directions for future progress are discussed.

Keywords

working memorycomputational modelexecutive functioncognitive controlprefrontal cortexbasal ganglia
Type
Chapter
Information
The Cambridge Handbook of Computational Cognitive Sciences , pp. 611 - 663
Publisher: Cambridge University Press
Print publication year: 2023

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