多个神经振子群网络的相位动力学编码

利用随机相变动力学理论研究运动认知的神经网络动力学模型．给出了感觉神经元集群、中间神经元集群和运动皮层神经元集群在耦合条件下相互作用、相位编码和数密度随时间的演化．探讨了神经网络在自发运动条件下以及在刺激条件下的神经网络动力学响应．通过数值模拟证实了（1）Walter J．Freeman提出的皮层动力学响应不能够编码外刺激信息的猜想；（2）串行的神经网络系统的神经编码具有节律编码的性质；（3）在中枢神经系统的调控中，神经抑制有其重要的作用．

Dynamic coding of phase on multi populations of neural oscillators

The neural dynamics model of motor cognition was studied by using stochastic phase resetting dynamics . The mutual interaction, phase coding and evolution of average number density with time were obtained for perception neuronal population, inter-neuronal population and motor neuronal population under coupling condition by numerical simulation. The response of neural network dynamics in both spontaneous and external stimuli was discussed. By use of numerical simulation, it is attested to (1) the hypothesis presented by W.J Freeman that the response of cortex dynamics can not be the encoded information from external stimulation; (2) the neural coding possesses property of the rhythm coding in the system of serial neural networks; (3) neural inhibition possesses important action in modulation of nerve center system.