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Localist representations are a desirable emergent property of neurologically plausible neural networks

Published online by Cambridge University Press:  30 August 2019

Colin Martindale
Affiliation:
Department of Psychology, University of Maine, Orono, ME 04469 rpy383@maine.maine.edu

Abstract

Page has done connectionist researchers a valuable service in this target article. He points out that connectionist models using localized representations often work as well or better than models using distributed representations. I point out that models using distributed representations are difficult to understand and often lack parsimony and plausibility. In conclusion, I give an example – the case of the missing fundamental in music – that can easily be explained by a model using localist representations but can be explained only with great difficulty and implausibility by a model using distributed representations.

Type
Brief Report
Copyright
2000 Cambridge University Press

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