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Bursting and two-parameter bifurcation in the chay neuronal model

  • Lixia Duan*
  • , Zhuoqin Yang
  • , Shenquan Liu
  • , Dunwei Gong
  • *Corresponding author for this work
  • North China University of Technology
  • South China University of Technology
  • China University of Mining and Technology

Research output: Contribution to journalArticlepeer-review

Abstract

In this paper, we study and classify the firing patterns in the Chay neuronal model by the fast/slow decomposition and the two-parameter bifurcations analysis. We show that the Chay neuronal model can display complex bursting oscillations, including the "fold/fold" bursting, the "Hopf/Hopf" bursting and the "Hopf/homoclinic" bursting. Furthermore, dynamical properties of different firing activities of a neuron are closely related to the bifurcation structures of the fast subsystem. Our results indicate that the codimension-2 bifurcation points and the related codimension-1 bifurcation curves of the fastsubsystem can provide crucial information to predict the existence and types of bursting with changes of parameters.

Original languageEnglish
Pages (from-to)445-456
Number of pages12
JournalDiscrete and Continuous Dynamical Systems - Series B
Volume16
Issue number2
DOIs
StatePublished - Sep 2011

Keywords

  • Bifurcation
  • Bursting
  • Fast-slow dynamical analysis
  • Neuronal model

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