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12 - Computational Cognitive Neuroscience Models of Categorization

from Part III - Computational Modeling of Basic Cognitive Functionalities

Published online by Cambridge University Press:  21 April 2023

By
F. Gregory Ashby  and
Yi-Wen Wang
Edited by
Ron Sun
Ron Sun
Affiliation:
Rensselaer Polytechnic Institute, New York
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Summary

Categorization is the process of assigning an object or event to a behaviorally relevant group. Before the 1990s, almost nothing was known about the neural networks and processes that mediate human categorization. As a result, theories of categorization were dominated by purely cognitive descriptions. The cognitive neuroscience revolution dramatically increased our understanding of the neural bases of human categorization. As a result, models grounded in neuroscience are becoming increasingly popular. Virtually all of these models assume that different neural systems mediate learning in different types of categorization tasks. Collectively, these models have already made profound contributions to our understanding of human categorization, by widening the empirical domain of categorization research, and by motivating experiments that might not otherwise have been run. Furthermore, this trend should increase in the future, as methods for studying the functioning human brain improve and the database of human brain function during categorization grows.

Keywords

categorizationcomputational cognitive neurosciencememory systemsCOVISHMAX
Type
Chapter
Information
The Cambridge Handbook of Computational Cognitive Sciences , pp. 400 - 425
Publisher: Cambridge University Press
Print publication year: 2023

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