爆裂
分叉
联轴节(管道)
物理
同步(交流)
耦合强度
罗斯(数学)
生物神经元模型
神经元
统计物理学
控制理论(社会学)
拓扑(电路)
计算机科学
数学
神经科学
非线性系统
凝聚态物理
材料科学
生物
组合数学
量子力学
几何学
人工智能
冶金
控制(管理)
出处
期刊:Chinese Physics
[IOP Publishing]
日期:2004-12-23
卷期号:14 (1): 77-85
被引量:72
标识
DOI:10.1088/1009-1963/14/1/016
摘要
The firing activities of Hindmarsh–Rose (HR) neurons are studied by means of numerical simulation and bifurcation analysis. A single HR neuron exhibits various firing patterns, such as quiescent state, periodic spiking, periodic bursting and chaos, when the external current input is changed. The fast/slow dynamical analysis is applied to explore the dynamical behaviour of the HR model. The complete synchronization of two coupled identical HR neurons with electrical coupling mimicking gap junctions can be realized in certain ranges of the coupling strength, whenever each individual neuron shows quiescency, periodic firing and chaos. The criteria for complete synchronization are analysed theoretically and the corresponding numerical simulation is presented as well. The persistence of the interspike intervals bifurcation structure of the coupled HR neuronal system under electrical coupling is also discussed.
科研通智能强力驱动
Strongly Powered by AbleSci AI