| Presentation | 2012-07-31 Neuron parameter estimation by genetic algorithm using the characteristics of membrane potential Mao SUZUKA, Ryota KOBAYASHI, Katsunori KITANO, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In order to estimate unknown parameters of a neuron model from experimental data, we improved the Genetic Algorithm (GA) based on characteristics of a profile of neural responses (such as action potential width and so on). We then verified its performance applying it to the synthetic data from a pre-set Hodgkin-Huxely model neuron. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Optimization / Genetic Algorithm / Neuron model / NEURON |
| Paper # | NC2012-32 |
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| Conference Information | |
| Committee | NC |
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| Conference Date | 2012/7/23(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Neurocomputing (NC) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Neuron parameter estimation by genetic algorithm using the characteristics of membrane potential |
| Sub Title (in English) | |
| Keyword(1) | Optimization |
| Keyword(2) | Genetic Algorithm |
| Keyword(3) | Neuron model |
| Keyword(4) | NEURON |
| 1st Author's Name | Mao SUZUKA |
| 1st Author's Affiliation | Graduate School of Science and Technology, Ritsumeikan University() |
| 2nd Author's Name | Ryota KOBAYASHI |
| 2nd Author's Affiliation | Department of Human and Computer Intelligence, Ritsumeikan University |
| 3rd Author's Name | Katsunori KITANO |
| 3rd Author's Affiliation | Department of Human and Computer Intelligence, Ritsumeikan University |
| Date | 2012-07-31 |
| Paper # | NC2012-32 |
| Volume (vol) | vol.112 |
| Number (no) | 168 |
| Page | pp.pp.- |
| #Pages | 4 |
| Date of Issue | |