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Combining distributed and localist computations in real-time neural networks

Published online by Cambridge University Press:  30 August 2019

Gail A. Carpenter
Affiliation:
Department of Cognitive and Neural Systems, Boston University, Boston, MA 02215 gail@cns.bu.educns.bu.edu/~gail/

Abstract

In order to benefit from the advantages of localist coding, neural models that feature winner-take-all representations at the top level of a network hierarchy must still solve the computational problems inherent in distributed representations at the lower levels.

Type
Brief Report
Copyright
2000 Cambridge University Press

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