Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/14036
Title: Neurodynamics analysis of brain information transmission
Authors: Wang, RB
Zhang, ZK
Tse, CK 
Keywords: Inter-neuron
Motor neuron
Perception neuron
Phase coding
Population of neural oscillators
Serial and parallel model of neural networks
Synchronous motion
Issue Date: 2009
Publisher: Springer
Source: Applied mathematics and mechanics (English edition), 2009, v. 30, no. 11, p. 1415-1428 How to cite?
Journal: Applied mathematics and mechanics (English edition) 
Abstract: 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.
URI: http://hdl.handle.net/10397/14036
ISSN: 0253-4827
EISSN: 1573-2754
DOI: 10.1007/s10483-009-1107-y
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