An Artificial Neural Network Based Robot Controller that Uses Rat’s Brain Signals

Brain machine interface (BMI) has been proposed as a novel technique to control prosthetic devices aimed at restoring motor functions in paralyzed patients. In this paper, we propose a neural network based controller that maps rat’s brain signals and transforms them into robot movement. First, the r...

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Hlavní autoři:	Marsel Mano, Genci Capi, Norifumi Tanaka, Shigenori Kawahara
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2013-04-01
Edice:	Robotics
Témata:	brain machine interface learning and adaptive systems radial basis function neural controllers
On-line přístup:	http://www.mdpi.com/2218-6581/2/2/54
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