Random coupling strength-induced synchronization transitions in neuronal network with delayed electrical and chemical coupling

Yanan Wu, Yubing Gong and Qi Wang

Physica A: Statistical Mechanics and its Applications, 2015, vol. 421, issue C, 347-354

Abstract: Regulating the coupling strength of neurons by noise, we numerically study the effect of the fluctuation of coupling strength on the synchronization of scale-free neuronal network with time delays. It is found that the neurons exhibit synchronization transitions when noise intensity is varied, and the synchronization transitions are delay-dependent and are enhanced at certain time delays. This phenomenon becomes stronger for chemical coupling than for electrical coupling. As network average degree increases, this phenomenon decreases monotonically for electrical coupling. However, for chemical coupling there is an optimal network average degree at which the phenomenon becomes strongest. These results show that the fluctuation of coupling strength can induce different synchronization transitions in scale-free neuronal network. This implies that random coupling strength could play a crucial role in the information transmission in neural systems.

Keywords: Neuron; Scale-free network; Random coupling strength; Time delay; Synchronization transitions (search for similar items in EconPapers)
Date: 2015
References: View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0378437114010140
Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:421:y:2015:i:c:p:347-354

DOI: 10.1016/j.physa.2014.11.052

Access Statistics for this article

Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis

More articles in Physica A: Statistical Mechanics and its Applications from Elsevier
Bibliographic data for series maintained by Catherine Liu ().