DocumentCode
337210
Title
Analog circuits emulating biological neurons in real-time experiments
Author
Laflaquiere, Alban ; Le Masson, S. ; Dupeyron, D. ; Le Masson, G.
Author_Institution
IXL Microelectron. Lab., Bordeaux I Univ., Talence, France
Volume
5
fYear
1997
fDate
1997
Firstpage
2035
Abstract
A new approach to carry out experiments on neural systems is presented. The authors show the interest in using analog circuits to emulate in real-time the electrical activity of neurons. They present a set of electronic modules dedicated to the precise modeling of biological neural networks. They prove the ability of such devices to dynamically interact with real neurons in an in vitro preparation and so to perform a powerful tool for computational neuroscientists. As an application, these circuits are used to model a complex neuron, known to be part of the lobster stomatogastric ganglion. Artificial synapses are then built between this real-time running analog neuron and in vitro neurons of that ganglion
Keywords
BiCMOS analogue integrated circuits; application specific integrated circuits; bioelectric potentials; neural chips; neural nets; neurophysiology; physiological models; Hodgkin-Huxley formalism; analog circuits; artificial synapses; biological neural networks; biological neurons emulation; complex neuron; computational neuroscience; electrical activity; electronic modules; full-custom BiCMOS ASIC; hybrid network; in vitro preparation; lobster stomatogastric ganglion; membrane potential; neural systems; precise modeling; real time mimicking; real-time experiments; Analog circuits; Biological neural networks; Biological system modeling; Biology computing; Biomembranes; Cells (biology); Equations; In vitro; Laboratories; Neurons;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, 1997. Proceedings of the 19th Annual International Conference of the IEEE
Conference_Location
Chicago, IL
ISSN
1094-687X
Print_ISBN
0-7803-4262-3
Type
conf
DOI
10.1109/IEMBS.1997.758747
Filename
758747
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