随着人类脑计划研究的启动，动力学向神经认知领域的交叉渗透成为新的方向-神经认知计算。基于电导的神经元模型和轴突电缆理论成为神经认知计算的基础，产生了丰富的动力学现象，如分岔识别，混沌道路，内凹多洞边界影响，网络同步振荡和波形不衰减传递等。同样提出了新的动力学问题，如动力系统确定的一类指标的分岔混沌机制，内凹多洞边界对波形形态的影响，神经肌肉控制机制建模和神经回路认知等。.本项目主要构造基底神经节回路的生理模型, 动力学研究多棘神经元的动力学特性和基底神经节回路的行动选择机制。探讨基底神经节回路中的不同刺激靶点的效果，确定不同频率刺激对基底神经节回路的影响，为帕金森病的治疗提供坚实的理论基础。

With the study of human brain project startup, neuroscience and cognitive science has become the focus of human attention. The cross mathematical science to neurocognitive field has become a new direction - neurocognitive computation. The conductance based neuron model and axons cable theory became the basis of neurocognitive computation. And the rich dynamic phenomena, such as Bifurcation recognition, the road to chaos, the effects of multi hole concave boundary, network synchronization and waveform transmit without attenuation, At same time it puts forward a new mathematical problems, such as bifurcation and chaos mechanism in a class of index determined by dynamical system. Multi hole, concave boundary effect on waveform morphology, Mechanism modeling neuromuscular control and the cognitive neural circuit. These new topics induced in neurocognitive, not only open up the new field of mathematical research, but also relates to neurocognitive code, it directly affects the development of cognitive science..This project constructs the physiological model of the basal ganglia circuits, studying the action selection mechanism of the basal ganglia loop in dynamics method. .To explore the dynamic property of spiny neuron and the effect of different stimuli targets in the basal ganglia circuits, determine the influence of different frequency stimulation of the basal ganglia circuits and provides a solid theoretical basis for the treatment of Parkinson's disease.