We present a new associative memory model based on the Hamming memory, but where the winner-take-all network part is replaced by a layer of nodes with somewhat complex node functions. This new memory can produce output vectors with individual "don't know" bits. The simulations demonstrate that this
Neural networks as models of associative memories
β Scribed by N. Parga
- Publisher
- Elsevier Science
- Year
- 1989
- Tongue
- English
- Weight
- 751 KB
- Volume
- 55
- Category
- Article
- ISSN
- 0010-4655
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β¦ Synopsis
Neural networks have proved to be useful models of associative memories. After a brief review of the standard Hopfield model we discuss how to introduce some realistic features such as categorization of the stored information and asymmetric synapsis.
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