时滞对链式耦合混沌神经元同步的影响  

The Influence of Time Delay on Chain Coupling Chaotic Neuron Synchronization

作　　者：李贵杰[1] 黄剑[1] 周鹏[2] 

机构地区：[1]兰州交通大学数理与软件工程学院,兰州730070 [2]兰州交通大学机电工程学院,兰州730070

出　　处：《重庆理工大学学报（自然科学）》2013年第6期68-71,共4页Journal of Chongqing University of Technology：Natural Science

基　　金：国家自然科学基金资助项目(10572055)

摘　　要：针对神经元信息传递过程中存在的时滞,研究了3个链式耦合混沌HR(Hind-marsh-Rose)神经元的同步行为受时滞的影响。通过C语言编程和Matlab数值模拟,证明加入恰当的时滞可以加强混沌神经元之间的完全同步,即加入时滞之后,耦合系统较没有时滞情况下更容易达到同步状态。Neurons are connected by synapses, so there is a time-lag in neurons in the process of information transmission. This paper studies the three chain of coupled chaotic HR （Hindmarsh-Rose） synchronous behavior of neurons affected by time-lag. The numerical calculation is conduced by C language program, and then drawings with the MATLAB are simulated, and we derived that adding appropriate time-lag can enhance the complete synchronization between chaotic neurons, which means after adding time-lag the coupling system is easier to achieve synchronization status than no delay case.

关 键 词：神经元 链式耦合 时滞 同步 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]