不同耦合类型的三维Hybrid神经元同步动力学

Synchronization Dynamics of Three-Dimensional Hybrid Neurons with Different Coupling Types

神经元网络的信息传递与多个神经元间的耦合同步密切相关.大量研究表明,神经元耦合系统的同步化问题是研究大脑处理信息的关键.本文基于三维混合神经元模型研究了神经元的复杂放电,该模型由Wilson模型的快子系统和H-R模型的慢子系统组成.该模型能够重现大脑皮层神经元一系列包括规则峰放电、快速峰放电和簇放电等神经动力学行为.本文基于三维混合神经元模型,探讨了三维混合神经元在电突触耦合、化学突触耦合和磁通耦合条件下的同步放电行为,模拟膜电位序列图、相位差图等探讨恒同及非恒同下耦合强度对神经元同步放电的影响.本研究将为人们进一步了解神经系统疾病的发病机制提供指导和帮助,并为神经科学领域提供可能的研究思路.

The information transfer of neuronal network is closely related to the coupling synchronization dynamics of multiple neurons.Numerous studies show that the coupling synchronization problem of neuronal is crucial for the process of brain processing information.In this paper,the complex discharge of neurons is studied based on a three-dimensional hybrid neurons model,the model is composed of the fast subsystem of Wilson model and the slow subsystem of Hindmarsh-Rose model.Despite its simplicity,the model is capable of reproducing a range of dynamical behaviors commonly observed in regular spiking,fast spiking,continuous bursting,and intrinsic bursting cells.Based on the three-dimensional hybrid neuron model,this paper explores the synchronous discharge behavior of two neurons under three different types.Explore the different firing states of neurons under different coupling intensities,and compare the synchronous firing states of two neurons through phase difference.This study will provide guidance and help for people to further understand the mechanism of neurological diseases,and provide2 possible research ideas in the field of neuroscience.