• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

积分发放振荡器网络的同步、多样性和拓扑结构

Synchronization, diversity, and topology of networks of integrate and fire oscillators.

作者信息

Guardiola X, Diaz-Guilera A, Llas M, Perez CJ

机构信息

Departament de Fisica Fonamental, Universitat de Barcelona, Diagonal 647, E-08028 Barcelona, Spain.

出版信息

Phys Rev E Stat Phys Plasmas Fluids Relat Interdiscip Topics. 2000 Oct;62(4 Pt B):5565-70. doi: 10.1103/physreve.62.5565.

DOI:10.1103/physreve.62.5565
PMID:11089114
Abstract

We study synchronization dynamics of a population of pulse-coupled oscillators. In particular, we focus our attention on the interplay between topological disorder and synchronization features of networks. First, we analyze synchronization time T in random networks, and find a scaling law which relates T to network connectivity. Then, we compare synchronization time for several other topological configurations, characterized by a different degree of randomness. The analysis shows that regular lattices perform better than a disordered network. This fact can be understood by considering the variability in the number of links between two adjacent neighbors. This phenomenon is equivalent to having a nonrandom topology with a distribution of interactions and it can be removed by an adequate local normalization of the couplings.

摘要

我们研究脉冲耦合振子群体的同步动力学。特别地,我们将注意力集中在网络的拓扑无序与同步特征之间的相互作用上。首先,我们分析随机网络中的同步时间T,并找到一种将T与网络连通性相关联的标度律。然后,我们比较其他几种具有不同随机程度特征的拓扑构型的同步时间。分析表明,规则晶格比无序网络表现得更好。通过考虑两个相邻邻居之间链接数量的变异性,可以理解这一事实。这种现象等同于具有相互作用分布的非随机拓扑,并且可以通过对耦合进行适当的局部归一化来消除。

相似文献

1
Synchronization, diversity, and topology of networks of integrate and fire oscillators.积分发放振荡器网络的同步、多样性和拓扑结构
Phys Rev E Stat Phys Plasmas Fluids Relat Interdiscip Topics. 2000 Oct;62(4 Pt B):5565-70. doi: 10.1103/physreve.62.5565.
2
FitzHugh-Nagumo oscillators on complex networks mimic epileptic-seizure-related synchronization phenomena.复杂网络上的 FitzHugh-Nagumo 振荡器模拟与癫痫发作相关的同步现象。
Chaos. 2020 Dec;30(12):123130. doi: 10.1063/5.0021420.
3
Synchronization of networks of chaotic oscillators: Structural and dynamical datasets.混沌振荡器网络的同步:结构与动态数据集。
Data Brief. 2016 Apr 4;7:1185-1189. doi: 10.1016/j.dib.2016.03.097. eCollection 2016 Jun.
4
Effect of topology upon relay synchronization in triplex neuronal networks.拓扑结构对三重神经元网络中继同步的影响。
Chaos. 2020 May;30(5):051104. doi: 10.1063/5.0008341.
5
Nature of synchronization transitions in random networks of coupled oscillators.耦合振子随机网络中同步转变的本质
Phys Rev E Stat Nonlin Soft Matter Phys. 2014 Jan;89(1):012810. doi: 10.1103/PhysRevE.89.012810. Epub 2014 Jan 22.
6
Development of structural correlations and synchronization from adaptive rewiring in networks of Kuramoto oscillators.基于Kuramoto振子网络中自适应重连的结构相关性与同步性发展
Chaos. 2017 Jul;27(7):073115. doi: 10.1063/1.4994819.
7
Link-disorder fluctuation effects on synchronization in random networks.随机网络中链路无序波动对同步的影响。
Phys Rev E Stat Nonlin Soft Matter Phys. 2013 Apr;87(4):042105. doi: 10.1103/PhysRevE.87.042105. Epub 2013 Apr 10.
8
Analyzing the competition of gamma rhythms with delayed pulse-coupled oscillators in phase representation.分析相位表示中的延迟脉冲耦合振荡器的伽马节律竞争。
Phys Rev E. 2018 Aug;98(2-1):022217. doi: 10.1103/PhysRevE.98.022217.
9
Driven synchronization in random networks of oscillators.振荡器随机网络中的驱动同步
Chaos. 2015 Jul;25(7):073119. doi: 10.1063/1.4927292.
10
Edges of inter-layer synchronization in multilayer networks with time-switching links.具有时变链路的多层网络中层间同步的边缘
Chaos. 2021 Oct;31(10):103119. doi: 10.1063/5.0065310.

引用本文的文献

1
Can ephapticity contribute to brain complexity?电突触传递能否促进大脑复杂性?
PLoS One. 2024 Dec 5;19(12):e0310640. doi: 10.1371/journal.pone.0310640. eCollection 2024.
2
Structured patterns of activity in pulse-coupled oscillator networks with varied connectivity.具有不同连接性的脉冲耦合振荡器网络中的结构化活动模式。
PLoS One. 2021 Aug 11;16(8):e0256034. doi: 10.1371/journal.pone.0256034. eCollection 2021.
3
Development of structural correlations and synchronization from adaptive rewiring in networks of Kuramoto oscillators.
基于Kuramoto振子网络中自适应重连的结构相关性与同步性发展
Chaos. 2017 Jul;27(7):073115. doi: 10.1063/1.4994819.
4
Synchronous slowing down in coupled logistic maps via random network topology.通过随机网络拓扑结构实现耦合逻辑映射中的同步减速。
Sci Rep. 2016 Mar 29;6:23448. doi: 10.1038/srep23448.
5
Cascades on a stochastic pulse-coupled network.随机脉冲耦合网络上的级联
Sci Rep. 2014 Sep 12;4:6355. doi: 10.1038/srep06355.
6
Marginally subcritical dynamics explain enhanced stimulus discriminability under attention.边缘次临界动力学解释了注意力下增强的刺激可辨别性。
Front Syst Neurosci. 2014 Aug 25;8:151. doi: 10.3389/fnsys.2014.00151. eCollection 2014.