No full text
Poster (Scientific congresses and symposiums)
A Brain-Machine Interface Operating with a Real-Time Spiking Neural Network Control Algorithm
Dethier, Julie; Nuyujukian, Paul; Elassaad, Shauki A. et al.
2011IAP DYSCO Study day
 

Files


Full Text
No document available.

Send to



Details



Abstract :
[en] Motor prostheses aim to restore function to disabled patients. Despite compelling proof of concept systems, barriers to clinical translation remain. One challenge is to develop a low-power, fully-implantable system that dissipates only minimal power so as not to damage tissue. To this end, we implemented a Kalman-filter based decoder via a spiking neural network (SNN) and tested it in brain-machine interface (BMI) experiments with a rhesus monkey. The Kalman filter was trained to predict the arm’s velocity and mapped on to the SNN using the Neural Engineering Framework (NEF). A 2,000-neuron embedded Matlab SNN implementation runs in real-time and its closed-loop performance is quite comparable to that of the standard Kalman filter. The success of this closed-loop decoder holds promise for hardware SNN implementations of statistical signal processing algorithms on neuromorphic chips, which may offer power savings necessary to overcome a major obstacle to the successful clinical translation of neural motor prostheses.
Disciplines :
Electrical & electronics engineering
Engineering, computing & technology: Multidisciplinary, general & others
Author, co-author :
Dethier, Julie ;  Université de Liège - ULiège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Systèmes et modélisation
Nuyujukian, Paul
Elassaad, Shauki A.
Shenoy, Krishna V.
Boahen, Kwabena
Language :
English
Title :
A Brain-Machine Interface Operating with a Real-Time Spiking Neural Network Control Algorithm
Publication date :
29 November 2011
Event name :
IAP DYSCO Study day
Event organizer :
IAP DYSCO network
Event place :
Leuven, Belgium
Event date :
29th of November 2011
Available on ORBi :
since 30 November 2011

Statistics


Number of views
50 (12 by ULiège)
Number of downloads
0 (0 by ULiège)

Bibliography


Similar publications



Contact ORBi