Dynamical modeling and identification of a GnRH neuron

Dávid Csercsik, G. Szederkényi, K. Hangos, Imre Farkas

Research output: Conference 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 publicationIFAC Proceedings Volumes (IFAC-PapersOnline)
Pages425-430
Number of pages6
Volume7
EditionPART 1
DOIs
Publication statusPublished - 2009
Event7th IFAC Symposium on Modelling and Control in Biomedical Systems (including Biological Systems) MCBMS'09 - Aalborg, Denmark
Duration: aug. 12 2009aug. 14 2009

Other

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

Fingerprint

Neurons
Clamping devices
Identification (control systems)
Ions
Electric potential
Gonadotropin-Releasing Hormone

ASJC Scopus subject areas

  • Control and Systems Engineering

Cite this

Csercsik, D., Szederkényi, G., Hangos, K., & Farkas, I. (2009). Dynamical modeling and identification of a GnRH neuron. In IFAC Proceedings Volumes (IFAC-PapersOnline) (PART 1 ed., Vol. 7, pp. 425-430) https://doi.org/10.3182/20090812-3-DK-2006.0040

Dynamical modeling and identification of a GnRH neuron. / Csercsik, Dávid; Szederkényi, G.; Hangos, K.; Farkas, Imre.

IFAC Proceedings Volumes (IFAC-PapersOnline). Vol. 7 PART 1. ed. 2009. p. 425-430.

Research output: Conference contribution

Csercsik, D, Szederkényi, G, Hangos, K & Farkas, I 2009, Dynamical modeling and identification of a GnRH neuron. in IFAC Proceedings Volumes (IFAC-PapersOnline). PART 1 edn, vol. 7, pp. 425-430, 7th IFAC Symposium on Modelling and Control in Biomedical Systems (including Biological Systems) MCBMS'09, Aalborg, Denmark, 8/12/09. https://doi.org/10.3182/20090812-3-DK-2006.0040
Csercsik D, Szederkényi G, Hangos K, Farkas I. Dynamical modeling and identification of a GnRH neuron. In IFAC Proceedings Volumes (IFAC-PapersOnline). PART 1 ed. Vol. 7. 2009. p. 425-430 https://doi.org/10.3182/20090812-3-DK-2006.0040
Csercsik, Dávid ; Szederkényi, G. ; Hangos, K. ; Farkas, Imre. / Dynamical modeling and identification of a GnRH neuron. IFAC Proceedings Volumes (IFAC-PapersOnline). Vol. 7 PART 1. ed. 2009. pp. 425-430
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