Presentation 2004/3/10
Measurement of membrane properties of retinal neurons using online estimation method
Nilton Liuji KAMIJI, Akito ISHIHARA, Yasuo FUJII, Shiro USUI,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English) The membrane properties of neurons had been studied using pharmacological methods. With the introduction of a new experimental method which links a real neuron to its mathematical model, the possibility for online experiments has been shown. With some simple assumptions, we introduce a new method to estimate the ionic current model parameters. By assuming that voltage and time dependencies of ionic currents are identical between cells of the same class, each maximum conductance can be estimated by correlating a real neuron to its existing mathematical model. The proposed method well reproduced the responses of dissociated retinal neurons under voltage and current clamp conditions, suggesting that the method can tune the parameters of the model to fit the currently recording neuron.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) parameter estimation / online experiment / Hodgkin-Huxley model / ionic current / retina
Paper # NC2003-148
Date of Issue

Conference Information
Committee NC
Conference Date 2004/3/10(1days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair
Vice Chair
Secretary
Assistant

Paper Information
Registration To Neurocomputing (NC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Measurement of membrane properties of retinal neurons using online estimation method
Sub Title (in English)
Keyword(1) parameter estimation
Keyword(2) online experiment
Keyword(3) Hodgkin-Huxley model
Keyword(4) ionic current
Keyword(5) retina
1st Author's Name Nilton Liuji KAMIJI
1st Author's Affiliation Department of Information and Computer Sciences, Toyohashi University of Technology()
2nd Author's Name Akito ISHIHARA
2nd Author's Affiliation Department of Information and Computer Sciences, Toyohashi University of Technology
3rd Author's Name Yasuo FUJII
3rd Author's Affiliation DSP technology Corporation
4th Author's Name Shiro USUI
4th Author's Affiliation Brain Science Institute, RIKEN
Date 2004/3/10
Paper # NC2003-148
Volume (vol) vol.103
Number (no) 732
Page pp.pp.-
#Pages 6
Date of Issue