期刊
NEUROCOMPUTING
卷 171, 期 -, 页码 23-29出版社
ELSEVIER SCIENCE BV
DOI: 10.1016/j.neucom.2015.05.078
关键词
Memristor; Associative memory; Memristive neural network circuit; Average-input-feedback (AIF)
资金
- Program for New Century Excellent Talents in University [[2013]47]
- National Natural Science Foundation of China [61372139, 61101233, 60972155]
- Ministry of Education of People's Republic of China [z2011148]
- Technology Foundation for Selected Overseas Chinese Scholars, Ministry of Personnel in China [2012-186]
- Fundamental Research Funds for the Central Universities [XDJK2014A001, XDJK2013B011]
Associative memory is the process by which an association between two stimuli or a behavior and a stimulus is learned. This paper contributes to propose a memristive neural network and realize the Pavlov associative memory through (a) putting forward a novel average-input-feedback (AIF) learning law; (b) proposing a detailed two-terminal charge-controlled SPICE memristor models; (c) building a memristive neural network (MNN) circuit, for the first time, to realize the Pavlov associative memory. The results prove the effectiveness of AIF on facilitating the memristor for associative learning in memristive neural networks. (C) 2015 Elsevier B.V. All rights reserved.
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