Pulsed neural networks consisting of single-flux-quantum spiking neurons
Pulsed neural networks consisting of single-flux-quantum spiking neurons
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DOI：
10.1016/j.physc.2007.02.043
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发表时间：
2007-10-01
影响因子：
1.7
通讯作者：
Amemiya, Y.
中科院分区：
文献类型：
--
作者：
Hirose, T.;Asai, T.;Amemiya, Y.
利用单通量量子（SFQ）电路，开发了一种用于类脑信息处理的抑制性脉冲神经网络。它由脉冲神经元装置组成，这些装置通过全对全抑制连接相互连接。网络选择神经活动。通过计算机仿真验证了神经网络的有效性。SFQ神经元装置可以模拟神经网络的抑制现象。(C) 2007 Elsevier B.V.版权所有
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.