Dynamical modeling and identification of a GnRH neuron

Dávid Csercsik, Gábor Szederkényi, Katalin M. Hangos, Imre Farkas

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

GnRH neurons, as key elements of the reproductive neuroendocrine system, have important central regulating role in the dynamics of the hormonal cycle. A Hodgkin-Huxley type neural model is proposed in this paper, that takes into account up-to-date biological literature data related to ion channels. The proposed neuron model is highly nonlinear in parameters and the evaluation of the objective function is computationally flexpensive, therefore the asynchronous parallel pattern search (APPS) procedure has been used for identification. The model with high number of estimated parameters provides a qualitatively good fit of both voltage clamp and current clamp traces.

Original languageEnglish
Title of host publication7th IFAC Symposium on Modelling and Control in Biomedical Systems (including Biological Systems) MCBMS'09 - Proceedings
Pages425-430
Number of pages6
EditionPART 1
DOIs
Publication statusPublished - Dec 1 2009
Event7th IFAC Symposium on Modelling and Control in Biomedical Systems (including Biological Systems) MCBMS'09 - Aalborg, Denmark
Duration: Aug 12 2009Aug 14 2009

Publication series

NameIFAC Proceedings Volumes (IFAC-PapersOnline)
NumberPART 1
Volume7
ISSN (Print)1474-6670

Other

Other7th IFAC Symposium on Modelling and Control in Biomedical Systems (including Biological Systems) MCBMS'09
CountryDenmark
CityAalborg
Period8/12/098/14/09

Keywords

  • Dynamic modelling
  • Identification
  • Neural dynamics
  • Nonlinear systems

ASJC Scopus subject areas

  • Control and Systems Engineering

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  • Cite this

    Csercsik, D., Szederkényi, G., Hangos, K. M., & Farkas, I. (2009). Dynamical modeling and identification of a GnRH neuron. In 7th IFAC Symposium on Modelling and Control in Biomedical Systems (including Biological Systems) MCBMS'09 - Proceedings (PART 1 ed., pp. 425-430). (IFAC Proceedings Volumes (IFAC-PapersOnline); Vol. 7, No. PART 1). https://doi.org/10.3182/20090812-3-DK-2006.0040