Event Abstract Back to Event Model Synthesis and Identification of a One-Compartment Hodgkin-Huxley Type GnRH Neuron Model Dávid Csercsik1*, Gabor Szederkenyi1, Katalin Hangos1 and Imre Farkas2 1 Computer and Automation Research Institute , Hungary 2 Institute of Experimental Medicine, Hungary The pulsatile hormone secretion and the corresponding electrical activity are intrinsic dynamical properties of the GnRH pulse generator and they are subject to continual influence during the cycle due to changing levels of ovarian hormones. GnRH neurons, as key elements of the structure, play essential regulating role in the dynamics of the neuroendocrine cycle. A mathematical model which could capture the dynamical features of the GnRH pulse generator and the effects of peripherial hormones, would be useful for many (eg. therapeutic) purposes. As a first step in the procedure of building such a simulator, a conductance based Hodgkin-Huxley neuron model is proposed in this work that is able to take into account up-to-date biological literature data related to various ionic currents. To keep the model as simple as possible, but biologically authentic, six types of ionic conductances are taken into account. Via laboratory experiments, measurement data were collected for parameter estimation of the model. The whole cell patch-clamp recordings used for model identification include current clamp and voltage clamp traces with and without prepulse. The parameters of the model were estimated with the APPS method, and the model with the resulting parameters provides a qualitatively good fit of both voltage clamp and current clamp traces. Conference: 12th Meeting of the Hungarian Neuroscience Society, Budapest, Hungary, 22 Jan - 24 Jan, 2009. Presentation Type: Poster Presentation Topic: Homeostatic regulatory mechanisms Citation: Csercsik D, Szederkenyi G, Hangos K and Farkas I (2009). Model Synthesis and Identification of a One-Compartment Hodgkin-Huxley Type GnRH Neuron Model. Front. Syst. Neurosci. Conference Abstract: 12th Meeting of the Hungarian Neuroscience Society. doi: 10.3389/conf.neuro.01.2009.04.106 Copyright: The abstracts in this collection have not been subject to any Frontiers peer review or checks, and are not endorsed by Frontiers. They are made available through the Frontiers publishing platform as a service to conference organizers and presenters. The copyright in the individual abstracts is owned by the author of each abstract or his/her employer unless otherwise stated. Each abstract, as well as the collection of abstracts, are published under a Creative Commons CC-BY 4.0 (attribution) licence (https://creativecommons.org/licenses/by/4.0/) and may thus be reproduced, translated, adapted and be the subject of derivative works provided the authors and Frontiers are attributed. For Frontiers’ terms and conditions please see https://www.frontiersin.org/legal/terms-and-conditions. Received: 03 Mar 2009; Published Online: 03 Mar 2009. * Correspondence: Dávid Csercsik, Computer and Automation Research Institute, Budapest, Hungary, csercsik@scl.sztaki.hu Login Required This action requires you to be registered with Frontiers and logged in. To register or login click here. Abstract Info Abstract The Authors in Frontiers Dávid Csercsik Gabor Szederkenyi Katalin Hangos Imre Farkas Google Dávid Csercsik Gabor Szederkenyi Katalin Hangos Imre Farkas Google Scholar Dávid Csercsik Gabor Szederkenyi Katalin Hangos Imre Farkas PubMed Dávid Csercsik Gabor Szederkenyi Katalin Hangos Imre Farkas Related Article in Frontiers Google Scholar PubMed Abstract Close Back to top Javascript is disabled. Please enable Javascript in your browser settings in order to see all the content on this page.