关于脑信号传输的神经动力学分析

王如彬; 张志康; Chi K.Tse

doi:10.3879/j.issn.1000-0887.2009.11.007

关于脑信号传输的神经动力学分析

doi: 10.3879/j.issn.1000-0887.2009.11.007

华东理工大学信息科学与工程学院认知神经动力学研究所,上海 200237;2.香港理工大学电子及资讯工程学系,香港

基金项目: 国家自然科学基金资助项目(10672057;10872068)

详细信息

作者简介:
王如彬(1951- ),男,杭州人,教授,博士(联系人.Tel:+86-21-64253654;E-mail:rbwang@ecus.tedu.cn);张志康(1950- ),男,上海人,教授级高工(Tel:+86-21-64253654);谢智刚,男,香港人,教授,博士(Fax:+852-23628439;E-mail:encktse@polyu.edu.hk).

中图分类号: TU43；O343
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出版历程
- 收稿日期: 2009-03-23
- 修回日期: 2009-09-02
- 刊出日期: 2009-11-15

Neurodynamics Analysis of Transmission of Brain Information

Institute for Cognitive Neurodynamics, School of Information Science and Engineering, East China University of Science and Technology, Shanghai 200237, P. R. China;

摘要

摘要: 运用随机相变动力学理论和方法建立了一个由感知神经元集群、中间神经元集群和运动皮层神经元集群组成的一个神经网络模型．依据所建立的模型，分别考察了串并耦合、串联耦合以及单向耦合3种情况下神经网络所表现的神经信息处理的动力学特征．研究结果表明，由给出的中枢神经系统神经信息处理的基本结构，能够大致反映反射运动和随意运动情况下神经信息处理的基本特征．数值地证明了随意运动所引发的各个局部神经网络的兴奋，特别是运动皮层神经元集群的兴奋比反射运动条件下的兴奋大得多．反映了随意运动条件下，有更多的神经元参与了神经信息处理和兴奋性同步运动．
- 串并耦合神经网络 /
- 相位编码 /
- 同步运动 /
- 感知神经元 /
- 中间神经元 /
- 运动神经元 /
- 神经振子集群
Abstract: A model of neural networks consisting of populations of perceptive neurons, interneurons and motor neurons according to the theory of stochastic phase resetting dynamics, was proposed. According to this model, dynamical characteristics of neural networks were studied under three coup ling cases, nam ely, series and parallel coup ling, series coup ling and un ilateral coupling. The results allow the structure of neural networks to be identified, and enable the basic characteristics of neural in formation processing to be described in terms of action of both the optional motor and the reflected motor. The excitation of local neural networks is caused by action of the optional motor. In particular, the excitation of neural population caused by action of the optional motor in the motor cortexis larger than that caused by action of there flected motor. It is reflected that there are more neurons participating in neural information processing and excited synchronization motion under the action of the optional motor.
- model of neural networks of series and parallel coupling /
- phase coding /
- synchronousmotion /
- perception neuron /
- inter-neuron /
- motor neuron /
- population of neural oscillators

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参考文献(20)

[1]	Wagatsuma H,Yamaguchi Y.Neural Dynamics of the Cognitive Map in the Hippocampus[J].Cognitive Neurodynamics,2007,1(2):119-141. doi: 10.1007/s11571-006-9013-6
[2]	Jun Igarashi,Hatsuo Hayashi,Katsumi Tateno.Theta phase coding in a network model of the entorhinal cortex layer Ⅱ with entorhinal- hippocampal loop connections[J].Cognitive Neurodynamics,2007,1(2):169-184. doi: 10.1007/s11571-006-9003-8
[3]	WANG Ru-bin,ZHANG Zhi-kang.Nonlinear stochastic models of neurons activities[J].Neurocomputing,2003,51:401-411. doi: 10.1016/S0925-2312(02)00624-0
[4]	Tass P A.Stimulus-locked transient phase dynamics,synchronization and desynchronization of two oscillators[J].Europhys Lett,2003,59:199-205.
[5]	Tass P A.Stochastic phase resetting of stimulus-locked responses of two coupled oscillators:transient response clustering,synchronization and desynchronization [J].Chaos,2003,13(1):364-376. doi: 10.1063/1.1505813
[6]	Neiman A B,Russell D F,DiLullo A,et al.Response clustering in transient stochastic synchronization and desynchronization of coupled neuronal bursters[J].Physical Review E,2007,DOI: 10.1103/PhysRevE.76.021908.
[7]	Wagatsuma H,Yamaguchi Y.Disambiguation of Multiple Sequence Learning by Theta Phase Coding[J].The Brain & Neural Networks,2005,12(1):17-31.
[8]	Yamaguchi Y,Aota Y,Sato N,et al.Synchronization of neural oscillations as a possible mechanism underlying episodic memory:A study of theta rhythm in the hippocampus[J].Journal of Integrative Neuroscience,2004,3(2):143-157. doi: 10.1142/S0219635204000488
[9]	Tass P A.Phase resetting in medicine and biology[M]. Berlin:Springer-Verlag,1999.
[10]	王如彬,张志康,余婧.关于注意与记忆的神经动力学机制[J].力学学报,2006,38(6):816-824.
[11]	WANG Ru-bin,ZHANG Zhi-kang.A neural model on cognitive process[J].Lecture Notes in Computer Science,2006,3971：50-59. doi: 10.1007/11759966_8
[12]	JIAO Xian-fa,WANG Ru-bin.Synchronization in neuronal population with the variable coupling strength in the presence of external stimulus[J].Applied Physical Letters,2006,88:203901. doi: 10.1063/1.2204575
[13]	WANG Ru-bin,JIAO Xian-fa.A stochastic nonlinear evolution model and neural coding on neuronal population possessing variable coupling intensity in spontaneous behavior [J].Neurocomputing,2006,69(7/9):778-785. doi: 10.1016/j.neucom.2005.05.010
[14]	JIAO Xian-fa,WANG Ru-bin.Nonlinear dynamic model and neural coding of neuronal network with the variable coupling strength in the presence of external stimuli [J].Applied Physical Letters,2005,87:083901. doi: 10.1063/1.1957120
[15]	JIAO Xian-fa,WANG Ru-bin.Synchronous firing and its control in neuronal population with time delay [J].Cognitive Neurodynamics，2007，215-219.
[16]	王如彬，张志康，谢志刚，等.关于多个神经振子群网络的集群神经编码[J].动力学与控制学报，2009，7(3)：217-225.
[17]	黄秉宪.脑的高级功能与神经网络[M].北京：科学出版社，2000.
[18]	李祖枢，涂亚庆.仿人智能控制[M].北京：国防工业出版社，2003.
[19]	顾凡及,梁培基.神经信息处理[M].北京：北京工业大学出版社，2007.
[20]	胡吉永，丁辛，王如彬，等.触摸法评价织物柔软性的感知觉力学原理分析[J].力学学报,2009,41(5):757-764.