Physica2022,Vol.59411.DOI:10.1016/j.physa.2022.126956

The influence of autapse on synchronous firing in small-world neural networks

Peng, Lu Tang, Jun Ma, Jun Luo, Jinming
Physica2022,Vol.59411.DOI:10.1016/j.physa.2022.126956

The influence of autapse on synchronous firing in small-world neural networks

Peng, Lu 1Tang, Jun 1Ma, Jun 2Luo, Jinming1
扫码查看

作者信息

  • 1. China Univ Min & Technol
  • 2. Lanzhou Univ Technol
  • 折叠

Abstract

The synchronization of the nervous system is strongly related to diseases such as Parkinson's, epilepsy, and schizophrenia. Given that the existence of autapse has been proved experimentally, the influence of autapse on the synchronization in a neural network is studied numerically. The results show that increasing coupling intensity could destroy the synchronization of the neural firing pattern, and reduce the firing rate in the network. Especially, an inhibition zone, in which the neural firing is inhibited completely, exists for changes of both coupling intensity and time delay in all types of autapses. As a key factor for different types of autapses, the transmission time delay influences the synchronization complicatedly, i.e., increasing time delay could modulate synchronization for different types of autapse and parameter regions. The theoretical results in this paper shed some light on the study about the mechanism of neural synchronization. (C) 2022 Elsevier B.V. All rights reserved.

Key words

Autapse/Small-world neural network/Synchronization/NOISE-INDUCED SYNCHRONIZATION/COHERENCE RESONANCE/NEURONAL NETWORK/TRANSMISSION/ENHANCEMENT/DYNAMICS/FEEDBACK

引用本文复制引用

出版年

2022
Physica

Physica

ISSN:0378-4371
被引量6
参考文献量46
段落导航相关论文