The neuro-electronic interface: measurements and model predictions
Identifieur interne : 001841 ( Istex/Corpus ); précédent : 001840; suivant : 001842The neuro-electronic interface: measurements and model predictions
Auteurs : M. Grattarola ; M. Bove ; G. Verreschi ; S. Martinoia ; M. TedescoSource :
- Journal of Materials Science: Materials in Medicine [ 0957-4530 ] ; 1996-06-01.
Abstract
Abstract: The functional coupling of populations of chick embryo dorsal root ganglia (DRG) neurons to planar arrays of microelectrodes has been characterized both experimentally and via computer simulatiors. Spontaneous electrical activity recorded with a multichannel automated workstation is compared with simulated activity, whose signal-to-noise ratio has been systematically varied by simulating changes in the strength of the neuron-to-substrate abhesion. The importance of this approach for the design of optimized neuro-electronic prostheses and for the development of new tools for in vitro screening tests is briefly discussed.
Url:
DOI: 10.1007/BF00154550
Links to Exploration step
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<Para>The functional coupling of populations of chick embryo dorsal root ganglia (DRG) neurons to planar arrays of microelectrodes has been characterized both experimentally and via computer simulatiors. Spontaneous electrical activity recorded with a multichannel automated workstation is compared with simulated activity, whose signal-to-noise ratio has been systematically varied by simulating changes in the strength of the neuron-to-substrate abhesion. The importance of this approach for the design of optimized neuro-electronic prostheses and for the development of new tools for <Emphasis Type="Italic">in vitro</Emphasis>
screening tests is briefly discussed.</Para>
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<abstract lang="en">Abstract: The functional coupling of populations of chick embryo dorsal root ganglia (DRG) neurons to planar arrays of microelectrodes has been characterized both experimentally and via computer simulatiors. Spontaneous electrical activity recorded with a multichannel automated workstation is compared with simulated activity, whose signal-to-noise ratio has been systematically varied by simulating changes in the strength of the neuron-to-substrate abhesion. The importance of this approach for the design of optimized neuro-electronic prostheses and for the development of new tools for in vitro screening tests is briefly discussed.</abstract>
<note>This paper was accepted for publication after the 1995 Conference of the European Society of Biomaterials, Oporto, Portugal, 10–13 September.</note>
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