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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Detalhes bibliográficos

Principais autores:	Marsel Mano, Genci Capi, Norifumi Tanaka, Shigenori Kawahara
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2013-04-01
coleção:	Robotics
Assuntos:	brain machine interface learning and adaptive systems radial basis function neural controllers
Acesso em linha:	http://www.mdpi.com/2218-6581/2/2/54
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