Synchronization Studies of Hindmarsh-Rose Neuron Networks: Unraveling the Influence of connection induced memristive synapse.
Chimera
Hindmarsh–Rose neuron
Hyperchaos
Memristor synapse
Journal
Bio Systems
ISSN: 1872-8324
Titre abrégé: Biosystems
Pays: Ireland
ID NLM: 0430773
Informations de publication
Date de publication:
Dec 2023
Dec 2023
Historique:
received:
18
07
2023
revised:
01
11
2023
accepted:
01
11
2023
medline:
20
11
2023
pubmed:
9
11
2023
entrez:
8
11
2023
Statut:
ppublish
Résumé
This study focuses on the synchronization analysis of Hindmarsh-Rose neurons coupled through a common memristor (coupled mHRN). Initially, we thoroughly examine the synchronization of two mHRNs coupled via a common memristor before exploring synchronization in a network of mHRNs. The stability of the proposed model is analyzed in three cases, demonstrating the existence of a single equilibrium point whose stability is influenced by external stimuli. The stable and unstable regions are investigated using eigenvalues. Through bifurcation analysis and the determination of maximum Lyapunov exponents, we identify chaotic and hyperchaotic trajectories. Additionally, using the next-generation matrix method, we calculate the chaotic number C
Identifiants
pubmed: 37939869
pii: S0303-2647(23)00244-7
doi: 10.1016/j.biosystems.2023.105069
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
105069Informations de copyright
Copyright © 2023 Elsevier B.V. All rights reserved.
Déclaration de conflit d'intérêts
Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.