期刊文献+

一种基于皮层柱侧抑制机制的神经网络群 被引量:2

Neural Network Ensembles Based on Lateral Inhibition of Cortical Columns
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摘要 建立了一种基于皮层柱侧抑制机制的神经网络群,模拟大脑皮层柱的神经元点火现象,并利用该神经网络群进行位置跟踪.采用Stein神经元构建神经网络群;将皮层柱的侧抑制机制应用于神经网络群编码、解码,实现神经网络群的负相关点火,并从理论上证明负相关点火的优越性.仿真实验结果表明,皮层柱侧抑制机制的应用大大提高了位置跟踪精度以及系统稳定性. The neural network ensembles based on lateral inhibition of cortical columns are built to simulate the neuron firing phenomenon in cortical columns and to be used for position tracking. The neural network ensembles are composed of many Stein's neurons. Lateral inhibition of cortical columns is applied to the coding and decoding of neural network ensembles to realize the negatively correlated firing, and the advantages of the negatively correlated firing are proved theoretically. Simulation results show' that the application of lateral inhibition with cortical columns can greatly improve the position tracking accuracy and system stability.
出处 《信息与控制》 CSCD 北大核心 2008年第4期413-417,共5页 Information and Control
基金 江苏省应用基础研究课题(BJ98057) 南京航空航天大学科研创新基金资助项目(Y0487-03187)
关键词 神经网络群 皮层柱侧抑制机制 负相关 位置跟踪 neural network ensembles lateral inhibition of cortical column negative correlation position tracking
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参考文献8

  • 1刘芳,李人厚,梅时春.基于进化规划的神经网络群的设计方法[J].控制与决策,2004,19(8):877-880. 被引量:2
  • 2Rossoni E, Feng J F. Decoding spike ensembles: Tracking a moving stimulus [EB/OL]. http://www.dcs.warwick.ac.uldfeng, 2005/ 2007.
  • 3Hirsch J A. Gilbert C D. Synaptic physiology of horizontal connections in the cat's visual cortex [J]. Journal of Neuroscience, 1991, 11(6): 1800-1809.
  • 4Gray C M, Konig P, Engel A K, et al. Oscillatory responses in cat visual cortex exhibit inter-columnar synchronization which reflects global stimulus properties [J]. Nature, 1989, 338(6213): 334-337.
  • 5刘景钊.相似块与人的认知过程[J].科学技术与辩证法,2002,19(6):14-17. 被引量:5
  • 6Xie X H, Hahrdoser R H R, Seung H S. Selectively grouping neurons in recurrent networks of lateral inhibition [J]. Neural Computation, 2002, 14(11): 2627-2646.
  • 7Feng J F, Ding M Z. Decoding spikes in a spiking neuronal network [J]. Journal of Physics A: Mathematical and General, 2004, 37(22): 5713-5727.
  • 8Feng J F, Brown D, Li G B. Synchronization due to common pulsed input in Stein's model [J]. Physical Review E, 2000, 61(3): 2987-2995.

二级参考文献16

  • 1乐国安.对现代认识心理学理论问题的争论[J].自然辩证法通讯,1995,17(4):68-76. 被引量:5
  • 2申仲英 张富昌 等.认识系统与思维的信息加工[M].西北大学出版社,1994..
  • 3(美)D.L.欣茨曼 韩进之等(译).学习与记忆心理学[M].沈阳:辽宁科技出版社,1987.300.
  • 4王shen.认知心理学[M].北京:北京大学出版社,1992.138.
  • 5(美)H.西蒙.认知科学与人工智能[J].思维科学,1985,(3):5-5.
  • 6(美)H.西蒙 武夷山(译).人工科学[M].北京:商务印书馆,1987.77.
  • 7(美)卡尔文 杨雄里(译).大脑如何思维[M].上海:上海科技出版社,1996.103.
  • 8陈永明.认知心理学与人工智能.当代心理学研究[M].北京:北京大学出版社,1993.163-168.
  • 9(美)D.A.诺尔曼.对认知和并行分布处理的反思.国外自然科学哲学问题[M].北京:中国社会科学出版社,1991.333.
  • 10(美)P.H.林赛 孙晔等(译).人的信息加工[M].北京:科学出版社,1987.432.

共引文献5

同被引文献15

  • 1方勇,戚飞虎,裴炳镇.一种新的PCNN实现方法及其在图像处理中的应用[J].红外与毫米波学报,2005,24(4):291-295. 被引量:14
  • 2王岳环,陈妍,程胜莲,张天序.基于模式侧抑制复杂背景下的小目标检测[J].红外与激光工程,2005,34(6):703-708. 被引量:6
  • 3冯大政,保铮,焦李成.脉冲发放神经网络建模[J].系统工程与电子技术,1996,18(5):23-30. 被引量:4
  • 4Lindner B, Longtin A. Effect of an exponentially decaying threshold on the firing statistics of a stochastic integrate-and-fire neuron[J]. Journal of Theoretical Biology, 2005, 232(4): 505- 521.
  • 5Lindner B, Geier L S. Maximizing spike train coherence or incoherence in the leaky integrate-and-fire model[J]. Physical Review E, 2002, 66(3): 1916-1921.
  • 6Tiesinga E Jose J V. Comparison of current-driven and conductance-driven neocortical model neurons with Hodgkin-Huxley voltage-gated channels[J]. Physical Review E, 2000, 62(6): 8413-8419.
  • 7Shelley M J, Tao L. Efficient and accurate time-stepping schemes for integrate-and-fire neuronal networks[J]. Journal of Computational Neuroscience, 2001, 11(2): 111-119.
  • 8Maio V D, Lansky E Rodriguez R. Different types of noise in leaky integrate-and-fire rhode1 of neuronal dynamics with discrete periodical input[J]. General Physiology and Biophysics, 2004, 23(1): 21-38.
  • 9Rodriguez R, Lansky P. Vesicular mechanism and estimates of firing probability in a network of spiking neurons[J]. Physica D: Nonlinear Phenomena, 2003, 181(1/2): 132-145.
  • 10Aburas H M,Cetiner B G,Sari M.Dengue confirmed-cases prediction:a neural network model. Expert Systems With Applications . 2010

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