Stochastic Resonance in an Ensemble of Single-Electron Neuromorphic Devices and its Application to Competitive Neural Networks
Stochastic Resonance in an Ensemble of Single-Electron Neuromorphic Devices and its Application to Competitive Neural Networks
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DOI：
10.1016/j.chaos.2005.11.027
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发表时间：
2007-04
影响因子：
7.8
通讯作者：
T. Oya;T. Asai;Y. Amemiya
中科院分区：
文献类型：
--
作者：
T. Oya;T. Asai;Y. Amemiya
基于单电子电路技术的神经形态计算由于其大幅提高的计算效率以及计算机技术和纳米技术的日益增加的相关性而日益突出[Likharev K，Mayr A，Muckra I，Türel M. CrossNets：用于CMOL电路的高性能神经形态架构。Molec Electron III：Ann NY Acad Sci 1006;2003：146-63; Oya T，Schmid A，Asai T，Leblebici Y，Amemiya Y.微分增强的成簇单电子神经网络的容错性。IEICE Electron Expr 2;2005：76-80]。当基于容错和噪声容忍神经结构的单电子电路可以在室温下运行时，这些技术的最大影响将被强烈感受到。在本文中，受尖峰神经元集合中的随机共振（SR）的启发[柯林斯JJ，Chow CC，Imhoff TT.无调谐随机共振。Nature 1995; 376：236-8]，我们提出了一个基本的单电子神经元组件的设计，并报告了我们如何在网络上检查其统计结果。
Neuromorphic computing based on single-electron circuit technology is gaining prominence because of its massively increased computational efficiency and the increasing relevance of computer technology and nanotechnology [Likharev K, Mayr A, Muckra I, Türel Ö. CrossNets: High-performance neuromorphic architectures for CMOL circuits. Molec Electron III: Ann NY Acad Sci 1006;2003:146–63; Oya T, Schmid A, Asai T, Leblebici Y, Amemiya Y. On the fault tolerance of a clustered single-electron neural network for differential enhancement. IEICE Electron Expr 2;2005:76–80]. The maximum impact of these technologies will be strongly felt when single-electron circuits based on fault- and noise-tolerant neural structures can operate at room temperature. In this paper, inspired by stochastic resonance (SR) in an ensemble of spiking neurons [Collins JJ, Chow CC, Imhoff TT. Stochastic resonance without tuning. Nature 1995;376:236–8], we propose our design of a basic single-electron neural component and report how we examined its statistical results on a network.