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Associative Memory via Memristive Neural Networks
ZENG Zhigang *,WEN Shiping
College of Automation, Huazhong University of Science and Technology
*Correspondence author
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Funding: none
Opened online:27 January 2014
Accepted by: none
Citation: ZENG Zhigang,WEN Shiping.Associative Memory via Memristive Neural Networks[OL]. [27 January 2014] http://en.paper.edu.cn/en_releasepaper/content/4582391
 
 
This paper investigates associative memory based on memristive neural networks. Based on the reproducible gradual resistance tuning in bipolar mode, a first-order voltage-controlled memristive model is employed with asymmetric voltage thresholds. Since memrisive devices are especially tiny to be densely packed in crossbar-like structures and possess long time memory needed by neuromorphic synapses, this paper shows how to approximate the behavior of synapses in neural networks using this memristive device. Certain neural networks are established and applied in associative memory.
Keywords:Memristor; associative memory; neural networks
 
 
 

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