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中文摘要：
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．
英文摘要：
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 coupling cases, namely, series and parallel coupling, series coupling and unilateral coupling. The results allow the structure of neural networks to be identified,and enable the basic characteristics of neural information 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 cortex is larger than that caused by action of the reflected 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.
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