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arXiv 2205.04531nlin.AO
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非线性时滞耦合网络的同步--以神经质量模型为例

Synchronization in Networks with Nonlinearly Delayed Couplings on Example of Neural Mass Model

Sergei A. Plotnikov

摘要:

研究了具有非线性时滞扩散耦合的线性系统异构网络的同步问题。该网络在新的坐标系中,平均场动力学和同步误差。从而将网络同步问题归结为同步误差系统稳定性的研究。利用时滞系统的圆判据,导出了同步误差系统的稳定性条件。将所得结果应用于神经质量模型种群的网络,并建立了同步条件。仿真结果说明了所得到的分析结果。

英文摘要:

The problem of synchronization in heterogeneous networks of linear systems with nonlinear delayed diffusive coupling is considered. The network is presented in new coordinates mean-field dynamics and synchronization errors. Thus the problem of network synchronization is reduced to the studying of synchronization-error system stability. The circle criterion for time-delay systems is used to derive the stability conditions of synchronization-error system. Obtained results are applied to a network of neural mass model populations, and the synchronization conditions are established. Simulation results are provided to illustrate the obtained analytical results.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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