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Stability and bifurcation analysis of two-neuron network with discrete and distributed delays

机译:具有离散和分布时滞的两个神经元网络的稳定性和分支分析

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摘要

In this paper, we give a detailed Hopf bifurcation analysis of a recurrent neural network system involving both discrete and distributed delays. Choosing the sum of the discrete delay terms as a bifurcation parameter the existence of Hopf bifurcation is demonstrated. In particular, the formulae determining the direction of the bifurcations and the stability of the bifurcating periodic solutions are studied by using the normal form theory and center manifold theorem. Finally, numerical simulations supporting our theoretical results are also included. (C) 2015 Elsevier B.V. All rights reserved.
机译:在本文中,我们给出了涉及离散和分布式延迟的递归神经网络系统的详细Hopf分叉分析。选择离散延迟项之和作为分支参数,证明了Hopf分支的存在。特别地,使用范式理论和中心流形定理研究了确定分支方向和分支周期解的稳定性的公式。最后,还包括支持我们理论结果的数值模拟。 (C)2015 Elsevier B.V.保留所有权利。

著录项

  • 来源
    《Neurocomputing》 |2016年第19期|102-110|共9页
  • 作者单位

    Univ Pittsburgh, Dept Math, Pittsburgh, PA 15260 USA|TOBB Univ Econ & Technol, Fac Sci & Letters, Dept Math, TR-06530 Ankara, Turkey;

    Gazi Univ, Polath Fac Sci & Arts, Dept Math, TR-06900 Ankara, Turkey|Princeton Univ, Princeton Neurosci Inst, Washington Rd, Princeton, NJ 08544 USA|Princeton Univ, Program Appl & Computat Math, Washington Rd, Princeton, NJ 08544 USA;

    TOBB Univ Econ & Technol, Fac Sci & Letters, Dept Math, TR-06530 Ankara, Turkey;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Hopf bifurcation; Stability; Neural networks; Delay differential equations; Periodic solution;

    机译:Hopf分支;稳定性;神经网络;时滞微分方程;周期解;

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