Sequences of memories in Boolean networks

We show that an extremely dilute network of Boolean logic devices may be taught to recall a sequence of memories with very high accuracy. If the number of inputs to each node is c, with c large, then the network may store ≈(4/3)c/c2 patterns, many more than normal synaptic networks. We can also control all the temporal characteristics of retrieval. Finally, we consider possible extensions to the model.

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Year of publication:	1992
Authors:	Watkin, Timothy L.H. ; Sherrington, David
Published in:	Physica A: Statistical Mechanics and its Applications. - Elsevier, ISSN 0378-4371. - Vol. 185.1992, 1, p. 449-452
Publisher:	Elsevier

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Type of publication:	Article
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10011064142