Monthly
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6 x 9, illustrated
ISSN
0899-7667
E-ISSN
1530-888X
2014 Impact factor:
2.21

Neural Computation

June 2017, Vol. 29, No. 6, Pages 1681-1695
(doi: 10.1162/NECO_a_00964)
© 2017 Massachusetts Institute of Technology
Nested-Clique Network Model of Neural Associative Memory
Article PDF (933.49 KB)
Abstract

Clique-based neural associative memories introduced by Gripon and Berrou (GB), have been shown to have good performance, and in our previous work we improved the learning capacity and retrieval rate by local coding and precoding in the presence of partial erasures. We now take a step forward and consider nested-clique graph structures for the network. The GB model stores patterns as small cliques, and we here replace these by nested cliques. Simulation results show that the nested-clique structure enhances the clique-based model.