Model synthesis identification a Hodgkin-Huxley-type neuron model

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

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

Abstract

GnRH neurons are key elements of the reproductive neuroendocrine system and play important central regulating role in the dynamics of the hormonal cycle. A conductance-based Hodgkin-Huxley model structure is proposed in this paper in the form of nonlinear ordinary differential equations that is able to take into account up-to-date biological literature data related to ion channels. Measurement data were available for parameter estimation, which are originated from laboratory experiments done in the Institute of Experimental Medicine of the Hungarian Academy of Sciences in the form of whole cell patch-clamp recordings. The proposed neuron model is highly nonlinear in parameters and the evaluation of the objective function is computationally expensive, therefore the asynchronous parallel pattern search (APPS) procedure has been used for identification which is a gradient-free optimization method that can handle linear equality and inequality constraints and has advantageous convergence properties. 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 publication2009 European Control Conference, ECC 2009
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages3058-3063
Number of pages6
ISBN (Print)9783952417393
Publication statusPublished - Mar 26 2014
Event2009 10th European Control Conference, ECC 2009 - Budapest, Hungary
Duration: Aug 23 2009Aug 26 2009

Other

Other2009 10th European Control Conference, ECC 2009
CountryHungary
CityBudapest
Period8/23/098/26/09

Fingerprint

Clamping devices
Neurons
Identification (control systems)
Model structures
Ordinary differential equations
Parameter estimation
Medicine
Ions
Electric potential
Experiments

ASJC Scopus subject areas

  • Control and Systems Engineering

Cite this

Csercsik, D., Szederkényi, G., Hangos, K., & Farkas, I. (2014). Model synthesis identification a Hodgkin-Huxley-type neuron model. In 2009 European Control Conference, ECC 2009 (pp. 3058-3063). [7074874] Institute of Electrical and Electronics Engineers Inc..

Model synthesis identification a Hodgkin-Huxley-type neuron model. / Csercsik, David; Szederkényi, G.; Hangos, K.; Farkas, Imre.

2009 European Control Conference, ECC 2009. Institute of Electrical and Electronics Engineers Inc., 2014. p. 3058-3063 7074874.

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

Csercsik, D, Szederkényi, G, Hangos, K & Farkas, I 2014, Model synthesis identification a Hodgkin-Huxley-type neuron model. in 2009 European Control Conference, ECC 2009., 7074874, Institute of Electrical and Electronics Engineers Inc., pp. 3058-3063, 2009 10th European Control Conference, ECC 2009, Budapest, Hungary, 8/23/09.
Csercsik D, Szederkényi G, Hangos K, Farkas I. Model synthesis identification a Hodgkin-Huxley-type neuron model. In 2009 European Control Conference, ECC 2009. Institute of Electrical and Electronics Engineers Inc. 2014. p. 3058-3063. 7074874
Csercsik, David ; Szederkényi, G. ; Hangos, K. ; Farkas, Imre. / Model synthesis identification a Hodgkin-Huxley-type neuron model. 2009 European Control Conference, ECC 2009. Institute of Electrical and Electronics Engineers Inc., 2014. pp. 3058-3063
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