期刊文献+

Fitz Hugh-Nagumo神经元网络的同步振荡与联想记忆 被引量:1

Synchronization and Associative Memory of Network with FitzHugh-Nagumo Neurons
下载PDF
导出
摘要 本文研究由FitzHugh Nagumo神经元所组成的脉动神经元网络的同步与联想记忆恢复。基于神经元微观生理结构,本文给出具有空间随机分布延时的神经元间耦合,而这种随机分布延时描述了脉动信号从突触前神经元到突触后神经元在轴突上传播所需要的时间。记忆由空时发放的神经元集群表达,在噪声涨落的作用下,系统取得了对不完整输入的记忆恢复。 Synchronization and associative memory retrieval in a pulsed neural network composed of the FitzHugh-Nagumo neurons were investigated. Based on the reality of the microscopic biological structure in the neural system, the couplings among those neurons were accompanied with randomly distributed time delays which models the times for a pulse to propagate on the axon from the presynaptic neuron to the postsynaptic neuron. The memory was represented in the spatiotemporal firing pattern of the neurons, and the memory retrieval was accomplished by using the fluctuations in the system.
出处 《力学季刊》 CSCD 北大核心 2005年第1期66-71,共6页 Chinese Quarterly of Mechanics
基金 国家自然科学基金(10272074)
关键词 FitzHugh-Nagumo神经元 同步 联想记忆 随机共振 FitzHugh-Nagumo neuron synchronization associative memory stochastic resonance
  • 相关文献

参考文献17

  • 1徐健学,陈永红,蒋耀林.人工神经网络非线性动力学及应用[J].力学进展,1998,28(2):145-162. 被引量:19
  • 2赵松年,熊小芸,姚国正,郭爱克.同步化响应:视-脑信息处理的新进展[J].科学通报,1999,44(10):1015-1026. 被引量:10
  • 3彭建华,刘延柱.脑科学中若干非线性动力学问题[J].力学进展,2003,33(3):325-332. 被引量:9
  • 4Benzi R, Sutera A, Vulpiani A. The mechanism of stochastic resonance [J]. J Phys A, 1981, 14L:453-457.
  • 5Collins J J, Chow Carson C, Capela Ann C, et al. Aperiodic stochastic resonance [J]. Physical Review E, 1996, 54(5):5575-5584.
  • 6Longtin A. Autonomous stochastic resonsnce in bursting neurons [J]. Phys Rev E, 1997, 55(1):868-876.
  • 7Kanamanu T, Okabe Y. Associative memory retrieval induced by fluctuations in a pulsed networks [J]. Physical Review E, 2000, 62(2):2629-2635.
  • 8Hebb D O. The Organization of Behavior [M]. John Wiley, New York, 1949.
  • 9Hopfield J J. Neural networks and physical systems with emergent collective computational abilities. Proc Natl Acad Sci, 1982,79 : 2554-2558.
  • 10Hopfield J J. Neurons with graded response have collective computational properties like those of two-state neurons [J]. Proc Natl Acad Sci, 1984,81:3088-3092.

二级参考文献83

共引文献31

同被引文献5

引证文献1

二级引证文献3

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部