Effects of network structure on the synchronizability of nonlinearly coupled Hindmarsh–Rose neurons

This work is devoted to investigate the effects of network structure on the synchronizability of nonlinearly coupled dynamical network of Hindmarsh–Rose neurons with a sigmoidal coupling function. We mainly focus on the networks that exhibit the small-world character or scale-free property. By check...

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Bibliographic Details
Published inPhysics letters. A Vol. 379; no. 40-41; pp. 2541 - 2548
Main Authors Li, Chun-Hsien, Yang, Suh-Yuh
Format Journal Article
LanguageEnglish
Published Elsevier B.V 23.10.2015
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Summary:This work is devoted to investigate the effects of network structure on the synchronizability of nonlinearly coupled dynamical network of Hindmarsh–Rose neurons with a sigmoidal coupling function. We mainly focus on the networks that exhibit the small-world character or scale-free property. By checking the first nonzero eigenvalue of the outer-coupling matrix, which is closely related to the synchronization threshold, the synchronizabilities of three specific network ensembles with prescribed network structures are compared. Interestingly, we find that networks with more connections will not necessarily result in better synchronizability. •We investigate the effects of network structure on the synchronizability of nonlinearly coupled Hindmarsh–Rose neurons.•We mainly consider the networks that exhibit the small-world character or scale-free property.•The synchronizability of three specific network ensembles with prescribed network structures are compared.•Networks with more connections will not necessarily result in better synchronizability.
ISSN:0375-9601
1873-2429
DOI:10.1016/j.physleta.2015.05.041