Unidirectional links prefer local firing propagation in the neural network of C. elegans

  • Qiwei Shen
  • , Zonghua Liu*
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

Understanding the mechanisms of brain functions is currently a hot topic but most studies have been focused on the aspects of synchronization and various partial synchronization. We here study this problem from a new angle of signal propagation, where the local (global) propagation may be related to the status of health (mental disorder). We make a case study on the neural network of C. elegans by presenting a framework where one node is chosen as the source node to generate signals and all the other nodes are chosen as the target nodes. We interestingly find that the existence of the unidirectional links is the key element to generate the local firing propagation and the configuration of the unidirectional links will seriously influence the range of firing propagation. In details, our findings include: (i) The unidirectional links prefer the local firing propagation, while the bidirectional links prefer the global firing propagation. (ii) Multiple source nodes will enhance the firing propagation, where the range of firing propagation for choosing the multiple source nodes from different communities is slightly larger than that from the same community. And (iii) a resonance effect of the range of firing propagation on coupling strength is observed, i.e. there is an optimal coupling strength. Moreover, a brief theoretical analysis is provided to explain these results.

Original languageEnglish
Article number113850
JournalChaos, Solitons and Fractals
Volume174
DOIs
StatePublished - Sep 2023

Keywords

  • Brain functions
  • Firing propagation
  • Neural network of C. elegans
  • Source node
  • Target nodes
  • Unidirectional links

Fingerprint

Dive into the research topics of 'Unidirectional links prefer local firing propagation in the neural network of C. elegans'. Together they form a unique fingerprint.

Cite this