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Synchronization of Small-World Neuronal Networks with Synapse Plasticity

机译:小世界神经元网络与突触可塑性的同步。

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摘要

Synchronization of small-world neuronal network with synapse plasticity is explored in this paper. The variation properties of synapse weights are studied' first, and then the effects of synapse learning coefficient, the coupling strength and the adding probability on synchronization of the neuronal network are studied respectively. It is shown that appropriate learning coefficient is helpful for improving synchronization, and complete synchronization can be obtained by increasing the coupling strength and the adding probability.
机译:本文探讨了具有突触可塑性的小世界神经元网络的同步。首先研究突触权重的变化特性,然后分别研究突触学习系数,耦合强度和添加概率对神经网络同步的影响。结果表明,适当的学习系数有助于改善同步性,通过增加耦合强度和增加概率可以获得完全同步。

著录项

  • 来源
  • 会议地点 Hangzhou(CN)
  • 作者单位

    School of Information Science and Technology, Donghua University, Shanghai 201620, China Department of Dynamics and Control, Beihang University, Beijing 100191, China;

    School of Information Science and Technology, Donghua University, Shanghai 201620, China Department of Dynamics and Control, Beihang University, Beijing 100191, China;

    School of Information Science and Technology, Donghua University, Shanghai 201620, China Department of Dynamics and Control, Beihang University, Beijing 100191, China;

    School of Information Science and Technology, Donghua University, Shanghai 201620, China Department of Dynamics and Control, Beihang University, Beijing 100191, China;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 神经系;
  • 关键词

    Neuronal network; Small-world; Synchronization; Synapse plasticity;

    机译:神经元网络小世界同步突触可塑性;

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