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Why localist connectionist models are inadequate for categorization

Published online by Cambridge University Press:  30 August 2019

Robert M. French  and
Elizabeth Thomas
Robert M. French
Affiliation:
Psychology Department (B32), University of Liège, 4000 Liège, Belgium; Institut Léon Frédéricq, University of Liège, 4000 Liège, Belgium{rfrench; ethomas}@ulg.ac.bewww.fapse.ulg.ac.be/Lab/cogsci/rfrench.html
Elizabeth Thomas
Affiliation:
Psychology Department (B32), University of Liège, 4000 Liège, Belgium; Institut Léon Frédéricq, University of Liège, 4000 Liège, Belgium{rfrench; ethomas}@ulg.ac.bewww.fapse.ulg.ac.be/Lab/cogsci/rfrench.html
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Abstract

Two categorization arguments pose particular problems for localist connectionist models. The internal representations of localist networks do not reflect the variability within categories in the environment, whereas networks with distributed internal representations do reflect this essential feature of categories. We provide a real biological example of perceptual categorization in the monkey that seems to require population coding (i.e., distributed internal representations).

Type
Brief Report
Information
Behavioral and Brain Sciences , Volume 23 , Issue 4 , August 2000 , pp. 477
Copyright
2000 Cambridge University Press

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