Back to Search
Start Over
Parameter estimation of the Hodgkin-Huxley model using metaheuristics: Application to neuromimetic analog integrated circuits
- Source :
- 2008 IEEE Biomedical Circuits and Systems Conference.
- Publication Year :
- 2008
- Publisher :
- IEEE, 2008.
-
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.
- Subjects :
- metaheuristics
Fitness function
Computer science
Estimation theory
[SPI.NANO] Engineering Sciences [physics]/Micro and nanotechnologies/Microelectronics
[MATH.MATH-OC] Mathematics [math]/Optimization and Control [math.OC]
Integrated circuit
Hodgkin-Huxley model
Hodgkin–Huxley model
law.invention
neuromimetic integrated circuits
law
Differential evolution
Simulated annealing
Parameter estimation
Electronic engineering
[SDV.NEU] Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]
Metaheuristic
Algorithm
Communication channel
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- 2008 IEEE Biomedical Circuits and Systems Conference
- Accession number :
- edsair.doi.dedup.....55c444346f8a4d29b6493cbe2c72fa50