Poster (Scientific congresses and symposiums)
A Brain-Machine Interface with an Innovative Spiking Neural Network Decoder
Dethier, Julie; Nuyujukian, Paul; Elassaad, Shauki A. et al.
2011annual symposium of the IEEE EMBS Benelux Chapter
 

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Keywords :
artificial organs; implants
Abstract :
[en] Motor prostheses aim to restore functions lost to neurological disease and injury by translating neural signals into control signals for prosthetic limbs. Despite compelling proof of concept systems, barriers to clinical translation—mainly strict power dissipation constraints—still remain. The proposed solution is to use the ultra-low-power neuromorphic approach to potentially meet these constraints.
Disciplines :
Engineering, computing & technology: Multidisciplinary, general & others
Electrical & electronics engineering
Author, co-author :
Dethier, Julie ;  Université de Liège - ULiège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Systèmes et modélisation
Nuyujukian, Paul;  Stanford University > Department of Bioengineering and School of Medicine
Elassaad, Shauki A.;  Stanford University > Department of Bioengineering
Shenoy, Krishna V.;  Stanford University > Department of Electrical Engineering, Department of Bioengineering, and Department of Neurobiology
Boahen, Kwabena;  Stanford University > Department of Bioengineering
Language :
English
Title :
A Brain-Machine Interface with an Innovative Spiking Neural Network Decoder
Publication date :
02 December 2011
Event name :
annual symposium of the IEEE EMBS Benelux Chapter
Event place :
Leuven and Brussels, Belgium
Event date :
December 1st and 2nd 2011
Audience :
International
Commentary :
Won the 2nd best poster award price
Available on ORBi :
since 21 October 2011

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