Presentation | 2014-01-20 Biophysical parameter estimation of a neuron in the antennal lobe of bombyx mori using probabilistic method Hayeong LEE, Tomoki KAZAWA, Stephan S. HAUPT, Ryohei KANZAKI, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | The stochastic properties of neurons and the noise in observation hinder the estimation of biophysical parameters in the equations despite the requirement of reconstruction a single neuron in terms of mathematical equations as the fist step of functional brain simulations. Here, we implemented a probabilistic algorithm to estimate the biophysical properties of a neuron in antennal lobe of bombyx mori from physiological data which contain noise. Based on the estimated parameter, we simulated the neuron in silico. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Parameter estimation / Hodgkin-Huxley model / Simulation / Bombyx Mori |
Paper # | NC2013-69 |
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Committee | NC |
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Conference Date | 2014/1/13(1days) |
Place (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Neurocomputing (NC) |
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Language | ENG |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Biophysical parameter estimation of a neuron in the antennal lobe of bombyx mori using probabilistic method |
Sub Title (in English) | |
Keyword(1) | Parameter estimation |
Keyword(2) | Hodgkin-Huxley model |
Keyword(3) | Simulation |
Keyword(4) | Bombyx Mori |
1st Author's Name | Hayeong LEE |
1st Author's Affiliation | Graduate School of Information Science and Technology, The University of Tokyo() |
2nd Author's Name | Tomoki KAZAWA |
2nd Author's Affiliation | Research Center for Advanced Science and Technology, The University of Tokyo |
3rd Author's Name | Stephan S. HAUPT |
3rd Author's Affiliation | Department of Biological Cybernetics, Faculty of Biology, Bielefeld University |
4th Author's Name | Ryohei KANZAKI |
4th Author's Affiliation | Research Center for Advanced Science and Technology, The University of Tokyo |
Date | 2014-01-20 |
Paper # | NC2013-69 |
Volume (vol) | vol.113 |
Number (no) | 382 |
Page | pp.pp.- |
#Pages | 5 |
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