Journal
NATURE COMMUNICATIONS
Volume 6, Issue -, Pages -Publisher
NATURE PUBLISHING GROUP
DOI: 10.1038/ncomms8522
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Funding
- NSFC [61274086]
- Young Scholar Fund of Sichuan [2011JQ0002]
- MOE Tier 1 Grant [RG 43/12]
- NTU-A*STAR Silicon Technologies Centre of Excellence [M4070176.040]
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Although synaptic behaviours of memristors have been widely demonstrated, implementation of an even simple artificial neural network is still a great challenge. In this work, we demonstrate the associative memory on the basis of a memristive Hopfield network. Different patterns can be stored into the memristive Hopfield network by tuning the resistance of the memristors, and the pre-stored patterns can be successfully retrieved directly or through some associative intermediate states, being analogous to the associative memory behaviour. Both single-associative memory and multi-associative memories can be realized with the memristive Hopfield network.
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