Why localist connectionist models are inadequate for categorization

Behavioral and Brain Sciences 23 (4):477-477 (2000)
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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).

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