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

1.
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

1.
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)

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