Parameter estimation of the Hodgkin-Huxley model using metaheuristics: application to neuromimetic analog integrated circuits

Abstract : In 1952 Hodgkin and Huxley introduced the voltage--clamp technique to extract the parameters of the ionic channel model of a neuron. Although this method is widely used today, it has a lot of disadvantages. In this paper, we propose an alternative approach to the estimation method of the voltage--clamp technique using metaheuristics such as Simulated Annealing, Genetic Algorithms and Differential Evolution. This method avoids approximations of the original technique by simultaneously estimating all the parameters of a single ionic channel with a single fitness function. To compare the different methods, we apply them on measurements from a neuromimetic integrated circuit. This circuit, due to its analog behavior, provides us noisy data like a biological system. Therefore we can validate the efficiency of our method on experimental-like data.
Type de document :
Communication dans un congrès
Biomedical Circuits and Systems Conference (BIOCAS), Nov 2008, Baltimore, United States. p173, 2008
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https://hal.archives-ouvertes.fr/hal-00347187
Contributeur : Sylvain Saighi <>
Soumis le : lundi 15 décembre 2008 - 10:06:50
Dernière modification le : jeudi 11 janvier 2018 - 06:21:06

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  • HAL Id : hal-00347187, version 1

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Laure Buhry, Sylvain Saïghi, Audrey Giremus, Eric Grivel, Sylvie Renaud. Parameter estimation of the Hodgkin-Huxley model using metaheuristics: application to neuromimetic analog integrated circuits. Biomedical Circuits and Systems Conference (BIOCAS), Nov 2008, Baltimore, United States. p173, 2008. 〈hal-00347187〉

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