Single-electron tunneling depressing synapse for cellular neural networks
文献类型:期刊论文
作者 | Li, N ; Lu, HX |
刊名 | neural computing & applications
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出版日期 | 2008 |
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 |
通讯作者 | li, n, chinese acad sci, inst semicond, lab artificial neural networks, pob 912, beijing 100083, peoples r china. 电子邮箱地址: ningli@red.semi.ac.cn |
中文摘要 | 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. |
学科主题 | 人工智能 |
收录类别 | SCI |
语种 | 英语 |
公开日期 | 2010-03-08 |
源URL | [http://ir.semi.ac.cn/handle/172111/6828] ![]() |
专题 | 半导体研究所_中国科学院半导体研究所(2009年前) |
推荐引用方式 GB/T 7714 | Li, N,Lu, HX. Single-electron tunneling depressing synapse for cellular neural networks[J]. neural computing & applications,2008,17(2):111-118. |
APA | Li, N,&Lu, HX.(2008).Single-electron tunneling depressing synapse for cellular neural networks.neural computing & applications,17(2),111-118. |
MLA | Li, N,et al."Single-electron tunneling depressing synapse for cellular neural networks".neural computing & applications 17.2(2008):111-118. |
入库方式: OAI收割
来源:半导体研究所
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