计算机与现代化 ›› 2010, Vol. 1 ›› Issue (11): 45-49.doi: 10.3969/j.issn.1006-2475.2010.11.013

• 管理信息系统 • 上一篇    下一篇

脉冲神经元的信息处理

蔡荣太,吴庆祥,王平   

  1. 福建师范大学物理与光电信息科技学院,福建 福州 350108
  • 收稿日期:2010-07-14 修回日期:1900-01-01 出版日期:2010-11-25 发布日期:2010-11-25

Information Processing in Spiking Neurons

CAI Rong-tai, WU Qing-xiang, WANG Ping   

  1. School of Physics, Optics, Electronic Science and Technology, Fujian Normal University, Fuzhou 350108, China
  • Received:2010-07-14 Revised:1900-01-01 Online:2010-11-25 Published:2010-11-25

摘要: 介绍累积放电脉冲神经元的数学描述;讨论脉冲神经元如何将激励信号转化为脉冲序列;讨论脉冲神经元如何将输入脉冲序列转化为输出脉冲序列。实验结果表明脉冲神经元具有很好的信息表示能力、信号鉴别能力和图像信号重构能力。给出利用脉冲神经网络进行图像信号处理的方法。

关键词: 信息表达, 脉冲神经网络, 脉冲耦合神经网络, 信息处理, 累积放电脉冲神经元

Abstract: This paper introduces the mathematical descriptions of the model of integrate and fire spiking neuron. The transformation from stimulus into spike trains in spiking neuron is discussed. The generation of output spike trains from input spike trains of the neuron is presented. The experimental results show that the spiking neuron does well in information representation, information distinguish and image reconstruction. The method of employing spiking neural networks in information processing is proposed.

Key words: information representation, spiking neural networks, pulse couple neural networks, information processing, integrate and fire neuron

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