Stability and Hopf bifurcation in leech heart interneuron model

This article investigates the activity regimes of a realistic neuron model (as a slow-fast system). The authors study this model using the dynam-ical systems theory, for example, qualitative theory methods of slow-fast systems. The authors obtain the stability conditions of equilibria in leech heart...

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Main Authors: F. Parvizi, M. Razvan, Y. Alipour Fakhri
Format: Article
Language:English
Published: Ferdowsi University of Mashhad 2023-06-01
Series:Iranian Journal of Numerical Analysis and Optimization
Subjects:
Online Access:https://ijnao.um.ac.ir/article_42651_d7803253bb0dfc4b64d36f26539b237f.pdf
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author F. Parvizi
M. Razvan
Y. Alipour Fakhri
author_facet F. Parvizi
M. Razvan
Y. Alipour Fakhri
author_sort F. Parvizi
collection DOAJ
description This article investigates the activity regimes of a realistic neuron model (as a slow-fast system). The authors study this model using the dynam-ical systems theory, for example, qualitative theory methods of slow-fast systems. The authors obtain the stability conditions of equilibria in leech heart interneurons under defined pharmacological conditions and following Hodgkin–Huxley formalism. Although in neuronal models, the membrane is usually considered  capacitance as a fixed parameter, the membrane ca-pacitance parameter is assumed as a control parameter to guarantee the existence of Hopf bifurcation using the Routh–Hurwitz criteria. The au-thors investigate the transition mechanism between the silent phase and tonic spiking mode. Furthermore, some simulations are provided using XPPAUT software for analytical results.
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spelling doaj.art-ad6072c9bc254c0c9a1220e1ec335e202023-05-23T10:42:00ZengFerdowsi University of MashhadIranian Journal of Numerical Analysis and Optimization2423-69772423-69692023-06-0113217018610.22067/ijnao.2022.75087.110142651Stability and Hopf bifurcation in leech heart interneuron modelF. Parvizi0M. Razvan1Y. Alipour Fakhri2Department of Mathematics, Payame Noor University(PNU), Tehran, Iran.Department of Mathematics, Faculty of Mathematical Sciences, University of Sharif, Tehran, Iran.Department of Mathematics, Payame Noor University(PNU), Tehran, Iran.This article investigates the activity regimes of a realistic neuron model (as a slow-fast system). The authors study this model using the dynam-ical systems theory, for example, qualitative theory methods of slow-fast systems. The authors obtain the stability conditions of equilibria in leech heart interneurons under defined pharmacological conditions and following Hodgkin–Huxley formalism. Although in neuronal models, the membrane is usually considered  capacitance as a fixed parameter, the membrane ca-pacitance parameter is assumed as a control parameter to guarantee the existence of Hopf bifurcation using the Routh–Hurwitz criteria. The au-thors investigate the transition mechanism between the silent phase and tonic spiking mode. Furthermore, some simulations are provided using XPPAUT software for analytical results.https://ijnao.um.ac.ir/article_42651_d7803253bb0dfc4b64d36f26539b237f.pdfstabilityhopf bifurcationrouth–hurwitz criteria
spellingShingle F. Parvizi
M. Razvan
Y. Alipour Fakhri
Stability and Hopf bifurcation in leech heart interneuron model
Iranian Journal of Numerical Analysis and Optimization
stability
hopf bifurcation
routh–hurwitz criteria
title Stability and Hopf bifurcation in leech heart interneuron model
title_full Stability and Hopf bifurcation in leech heart interneuron model
title_fullStr Stability and Hopf bifurcation in leech heart interneuron model
title_full_unstemmed Stability and Hopf bifurcation in leech heart interneuron model
title_short Stability and Hopf bifurcation in leech heart interneuron model
title_sort stability and hopf bifurcation in leech heart interneuron model
topic stability
hopf bifurcation
routh–hurwitz criteria
url https://ijnao.um.ac.ir/article_42651_d7803253bb0dfc4b64d36f26539b237f.pdf
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