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How to combine interpolation with feedback?

Published online by Cambridge University Press:  01 August 1998

Guenther Palm
Affiliation:
Department of Neural Information Processing, University of Ulm, D-89069 Ulm, Germanypalm@neuro.informatik.uni-ulm.de

Abstract

The Chorus representation is a sparse, similarity-preserving representation achieved by a feedforward neural network. Hence it is probably better suited for interpolation than for categorization. This commentary raises the question of how to combine categorization with interpolation, whether feedforward networks can be reasonable models for parts of the cerebral cortex, and whether people can perform more than one interpolation at a time.

Type
Open Peer Commentary
Copyright
© 1998 Cambridge University Press

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