DocumentCode :
2549611
Title :
Neuromimetic ICs and system for parameters extraction in biological neuron models
Author :
Saighi, Sylvain ; Bornat, Yannick ; Tomas, Jean ; Renaud, Sylvie
Author_Institution :
Bordeaux Univ., Talence
fYear :
2006
fDate :
21-24 May 2006
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
Keywords :
analogue integrated circuits; biological techniques; neural chips; neurophysiology; Hodgkin-Huxley formalism; PCI board; analog neuromimetic integrated circuit; biological neuron models; parameters extraction; Analog integrated circuits; Biological system modeling; Biology computing; Biomembranes; Computational modeling; Hardware; Integrated circuit modeling; Neurons; Parameter extraction; Real time systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems, 2006. ISCAS 2006. Proceedings. 2006 IEEE International Symposium on
Conference_Location :
Island of Kos
Print_ISBN :
0-7803-9389-9
Type :
conf
DOI :
10.1109/ISCAS.2006.1693557
Filename :
1693557
Link To Document :
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