𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Neural network modeling of associative memory: Beyond the Hopfield model

✍ Scribed by Chandan Dasgupta


Publisher
Elsevier Science
Year
1992
Tongue
English
Weight
647 KB
Volume
186
Category
Article
ISSN
0378-4371

No coin nor oath required. For personal study only.


πŸ“œ SIMILAR VOLUMES


An associate memory model based on hopfi
✍ Kiyoshi Nishiyama; Haruhide Goto πŸ“‚ Article πŸ“… 1993 πŸ› John Wiley and Sons 🌐 English βš– 902 KB

## Abstract In the associate memory model based on the Hopfield neural network, the memorized pattern must satisfy a certain kind of orthogonal condition. However, in general, it is very difficult to satisfy this condition, which has been a great drawback in the application of the associative memor

Neural networks as models of associative
✍ N. Parga πŸ“‚ Article πŸ“… 1989 πŸ› Elsevier Science 🌐 English βš– 751 KB

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.