Browse Bar: Browse by Author | Browse by Category | Browse by Citation | Advanced Search
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,