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	Single-electron tunneling depressing synapse for cellular neural networks
	Li, Ning; Lu, Huaxiang
刊名	Neural computing & applications
	2008-03-01
卷号	17期号:2页码:111-118
关键词	Cellular non-linear networks (cnn) Depressing synapses Single-electron tunneling (set) Tunneling junction Spice
ISSN号	0941-0643
DOI	10.1007/s00521-007-0098-6
通讯作者	Li, ning(ningli@red.semi.ac.cn)
英文摘要	In this paper, a cellular neural network with depressing synapses for contrast-invariant pattern classification and synchrony detection is presented, starting from the impulse model of the single-electron tunneling junction. the results of the impulse model and the network are simulated using simulation program with integrated circuit emphasis (spice). it is demonstrated that depressing synapses should be an important candidate of robust systems since they exhibit a rapid depression of excitatory postsynaptic potentials for successive presynaptic spikes.
WOS关键词	SYNCHRONY DETECTION ; NEURONAL SYNCHRONY ; CIRCUIT
WOS研究方向	Computer Science
WOS类目	Computer Science, Artificial Intelligence
语种	英语
出版者	SPRINGER
WOS记录号	WOS:000253522700003
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/2427285
专题	半导体研究所
通讯作者	Li, Ning
作者单位	Chinese Acad Sci, Inst Semicond, Lab Artificial Neural Networks, Beijing 100083, Peoples R China
推荐引用方式 GB/T 7714	Li, Ning,Lu, Huaxiang. Single-electron tunneling depressing synapse for cellular neural networks[J]. Neural computing & applications,2008,17(2):111-118.
APA	Li, Ning,&Lu, Huaxiang.(2008).Single-electron tunneling depressing synapse for cellular neural networks.Neural computing & applications,17(2),111-118.
MLA	Li, Ning,et al."Single-electron tunneling depressing synapse for cellular neural networks".Neural computing & applications 17.2(2008):111-118.

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