考虑树突整合效应的神经元网络的放电和同步特性

FIRING AND SYNCHRONIZATION CHARACTERISTICS OF NEURONAL NETWORKS CONSIDERING DENDRITIC INTEGRATION EFFECT

生物神经网络的同步被认为在大脑神经信息的处理过程中发挥了重要作用.本文在Hodgkin-Huxley(HH)神经元网络模型中考虑树突整合效应,得到修正后的DHH(Dendritic-integration-rule-based HH)神经元网络模型,研究了网络的放电和同步特性.首先以三个抑制性神经元构成的耦合系统为例,发现树突整合效应的加入提高了神经元的放电阈值;然后分别建立全局耦合的抑制性和兴奋性神经元网络,发现大的耦合强度能够诱导抑制性和兴奋性神经元网络达到几乎完全同步的状态,并且对神经元的放电幅值有较大的影响;更有趣的是,当树突整合系数为某一值时,抑制性神经元网络的同步达到最高,而兴奋性神经网络的同步达到最低.

The synchronization of biological neural networks plays an important role in the information processing of brain.In this paper,the dendritic-integration effect in Hodgkin-Huxley neuronal network was considered to obtain a modified DHH(Dendritic-integration-rule-based HH)neuronal network model,and the firing and synchronization characteristics of the network were studied.Firstly,taking a coupled system of three inhibitory neurons as an example,it is found that the dendritic-integration effect enhances the firing threshold of neurons.Then a globally coupled inhibitory neuronal network and a globally coupled excitatory neuronal network were established,respectively,which show that large coupling strength not only induce the networks to achieve nearly complete synchronization but also greatly affect the firing amplitudes of the networks.Interestingly,when the integration coefficient is set to be a certain value,the inhibitory neuronal network achieves the highest extent of synchronization,while the excitatory neuronal network achieves the lowest extent of synchronization.