Pulsed neural networks consisting of single-flux-quantum spiking neurons

被引：15
|
作者：
Hirose, T. [1 ]
Asai, T. [1 ]
Amemiya, Y. [1 ]
机构：
[1] Hokkaido Univ, Dept Elect Engn, Sapporo, Hokkaido 0600814, Japan
来源：
PHYSICA C-SUPERCONDUCTIVITY AND ITS APPLICATIONS | 2007年 / 463卷 / 1072-1075期
关键词：
single-flux-quantum; spiking neuron device; integrate-and-fire neuron; pulsed neural network;
D O I：
10.1016/j.physc.2007.02.043
中图分类号：
O59 [应用物理学];
学科分类号：
摘要：
An inhibitory pulsed neural network was developed for brain-like information processing, by using single-flux-quantum (SFQ) circuits. It consists of spiking neuron devices that are coupled to each other through all-to-all inhibitory connections. The network selects neural activity. The operation of the neural network was confirmed by computer simulation. SFQ neuron devices can imitate the operation of the inhibition phenomenon of neural networks. (C) 2007 Elsevier B.V. All rights reserved.
引用
收藏
页码：1072 / 1075
页数：4
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