Neuromimetic ICs and System for Parameters Extraction in Biological Neuron Models (2006)
| Venue: | Proceedings ISCAS 2006, pp.4207-4210, Island of |
| Citations: | 3 - 3 self |
BibTeX
@INPROCEEDINGS{Saïghi06neuromimeticics,
author = {Sylvain Saïghi and Yannick Bornat and Jean Tomas and Sylvie Renaud},
title = {Neuromimetic ICs and System for Parameters Extraction in Biological Neuron Models},
booktitle = {Proceedings ISCAS 2006, pp.4207-4210, Island of},
year = {2006}
}
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Abstract
Abstract—This paper presents an analog neuromimetic integrated circuit and an associated system dedicated for experiments of parameters extraction in biological neuron models. The IC based on Hodgkin-Huxley (HH) formalism computes in real-time and continuous mode. The dedicated system is a PCI board that is able to program dynamically the neuron model parameters in the IC. The full system, which includes the IC and the PCI board, is used to build a new hardware/software technique to extract biophysics parameters from biological neuron. This technique could be helpful for the neuroscientists proposing an alternative to voltage-clamp technique. For that, the new technique will use optimization algorithms to be efficient. I.
