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Neurodynamics analysis of brain information transmission 被引量:1
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作者 王如彬 张志康 Chi K. Tse 《Applied Mathematics and Mechanics(English Edition)》 SCIE EI 2009年第11期1415-1428,共14页
This paper proposes a model of neural networks consisting of populations of perceptive neurons, inter-neurons, and motor neurons according to the theory of stochastic phase resetting dynamics. According to this model,... This paper proposes a model of neural networks consisting of populations of perceptive neurons, inter-neurons, and motor neurons according to the theory of stochastic phase resetting dynamics. According to this model, the dynamical characteristics of neural networks are studied in three coupling cases, namely, series and parallel coupling, series coupling, and unilateral coupling. The results show that the indentified structure of neural networks enables the basic characteristics of neural information processing to be described in terms of the actions of both the optional motor and the reflected motor. The excitation of local neural networks is caused by the action of the optional motor. In particular, the excitation of the neural population caused by the action of the optional motor in the motor cortex is larger than that caused by the action of the reflected motor. This phenomenon indicates that there are more neurons participating in the neural information processing and the excited synchronization motion under the action of the optional motor. 展开更多
关键词 serial and parallel model of neural networks phase coding synchronousmotion perception neuron inter-neuron motor neuron population of neural oscillators
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