首页> 外文期刊>Network >Modeling of synchronization behavior of bursting neurons at nonlinearly coupled dynamical networks
【24h】

Modeling of synchronization behavior of bursting neurons at nonlinearly coupled dynamical networks

机译:非线性耦合动力学网络中爆发神经元同步行为的建模

获取原文
获取原文并翻译 | 示例
       

摘要

Synchronization behaviors of bursting neurons coupled through electrical and dynamic chemical synapses are investigated. The Izhikevich model is used with random and small world network of bursting neurons. Various currents which consist of diffusive electrical and time-delayed dynamic chemical synapses are used in the simulations to investigate the influences of synaptic currents and couplings on synchronization behavior of bursting neurons. The effects of parameters, such as time delay, inhibitory synaptic strengths, and decay time on synchronization behavior are investigated. It is observed that in random networks with no delay, bursting synchrony is established with the electrical synapse alone, single spiking synchrony is observed with hybrid coupling. In small world network with no delay, periodic bursting behavior with multiple spikes is observed when only chemical and only electrical synapse exist. Single-spike and multiple-spike bursting are established with hybrid couplings. A decrease in the synchronization measure is observed with zero time delay, as the decay time is increased in random network. For synaptic delays which are above active phase period, synchronization measure increases with an increase in synaptic strength and time delay in small world network. However, in random network, it increases with only an increase in synaptic strength.
机译:研究了通过电和动态化学突触耦合的爆发神经元的同步行为。 Izhikevich模型与爆发神经元的随机和小型世界网络一起使用。在仿真中使用了由扩散电和延时动态化学突触组成的各种电流,以研究突触电流和耦合对爆发神经元同步行为的影响。研究了时间延​​迟,抑制突触强度和衰减时间等参数对同步行为的影响。可以观察到,在无延迟的随机网络中,仅通过电突触就建立了突发同步,而通过混合耦合观察到了单尖峰同步。在没有延迟的小型世界网络中,当仅存在化学和仅存在电突触时,会观察到具有多个尖峰的周期性突发行为。通过混合耦合可以建立单尖峰和多尖峰突发。随着衰减时间在随机网络中增加,在零时延的情况下观察到同步措施的减少。对于超过活动相位周期的突触延迟,在小世界网络中,同步措施会随着突触强度和时间延迟的增加而增加。但是,在随机网络中,其仅随着突触强度的增加而增加。

著录项

  • 来源
    《Network》 |2016年第4期|289-305|共17页
  • 作者

    Yueksel Cakir;

  • 作者单位

    Department of Electronics and Communications, Faculty of Electrical and Electronics Engineering, Istanbul Technical University, Maslak Istanbul 34469, Turkey;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Bursting; Izhikevich neuron model; synchronization; small-world network;

    机译:爆裂伊热克维奇神经元模型;同步小世界网络;
  • 入库时间 2022-08-18 01:47:11

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号