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Miguel Angelo Nicolelis, MD, PhD, is a Brazilian physician and scientist, best known for his pioneering work in "reading monkey thought". He and his colleagues implanted electrode arrays into the monkey brain that were able to detect the monkey's motor intent and thus able to control reaching and grasping movements performed by a robotic arm. This was possible by decoding signals of hundreds of neurons recorded in volitional areas of the cerebral cortex while the monkey played with a hand-held joystick that was originally used to move the robot. A system in which brain signals directly control an artificial actuator is commonly referred to as brain-machine interface or brain-computer interface.

Nicolelis received an M.D. degree from University of São Paulo Medical School in 1984. He got a Phd in 1988/89 at the Institute of Biomedical Science, University of São Paulo.

Currently, Nicolelis is a Professor of Neurobiology, Biomedical Engineering and Psychological and Brain Sciences, and he and Craig Henriquez, a Professor in Biomedical Engineering, serve as Co-Directors of the Center for Neuroengineering, Duke University Medical Center (since 2001).

He is also currently involved with setting up an international neuroscience research centre in Natal, state of Rio Grande do Norte.

In 2004, he was chosen by the journal Science as one of the 100 most influential scientists of the year. He also appears in the 2004 Scientific American listing of most influential research leaders of the year.

External links


  • Nicolelis Lab: http://www.nicolelislab.net
  • CV and awards: http://www.nicolelislab.net/NLNet/Load/CVs/Nicolelis_CV.pdf
  • New Scientist 2003: http://www.newscientist.com/article.ns?id=dn4262
  • New Scientist 2004: http://www.newscientist.com/article.ns?id=mg18224412.400

Selected Publications on Brain-Machine Interface


Additional references


Brazilian neuroscientists | Italian-Brazilians | Greek-Brazilians | Brain-computer interfacing | University of São Paulo

Николелис, Мигель

 

This article is licensed under the GNU Free Documentation License. It uses material from the "Miguel Nicolelis".

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