Combining distributed and localist computations in real-time neural networks

Author(s): Carpenter, G.A. |

Year: 2000

Citation: Behavioral and Brain Sciences, 23, 473-474.

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.

Topics: Machine Learning, Models: Distributed ART, Modified ART,

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