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	Associative learning based on symmetric spike time dependent plasticity
	Guo, Binbin ; Cai, Yimao ; Pan, Yue ; Zhang, Zhenxing ; Fang, Yichen ; Huang, Ru
	2014
英文摘要	Spike-timing-dependent-plasticity (STDP) is an important leaning rule in organisms. In the application of neural computation, it is meaningful to apply symmetric STDP to associative learning. In this paper, an electronic synapse with symmetric STDP features was demonstrated. Meanwhile, taking Pavlov's experiment as an example, a model of neural network was built with this electronic synapse and successfully simulated the Pavlov's experiment, indicating the proposed symmetric STDP synaptic circuit can mimic the working principle of associative learning. ? 2014 IEEE.; EI; 0
语种	英语
DOI标识	10.1109/ICSICT.2014.7021615
内容类型	其他
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/295134]
专题	信息科学技术学院
推荐引用方式 GB/T 7714	Guo, Binbin,Cai, Yimao,Pan, Yue,et al. Associative learning based on symmetric spike time dependent plasticity. 2014-01-01.

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