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Cognitive Based Neural Prosthetics* R. A. Andersen and S. Musallam J. W. Burdick and J. G. Cham
 

Summary: Cognitive Based Neural Prosthetics*
R. A. Andersen and S. Musallam J. W. Burdick and J. G. Cham
Division of Biology Division of Engineering and Applied Science
California Institute of Technology California Institute of Technology
Pasadera, CA 91125 Pasadera, CA 91125
jgcham@robotics.caltech.edu
*
This work is partially supported by National Eye Institute, DARPA, ONR, the Boswell Foundation, NSF, the Christopher Reeve Paralysis Foundation, the
Sloan-Swartz Center for Theoretical Neurobiology at Caltech, and the Human Frontier Science Program.
Abstract Intense activity in neural prosthetic research
has recently demonstrated the possibility of robotic interfaces
that respond directly to the nervous system. The question
remains of how the flow of information between the patient and
the prosthetic device should be designed to provide a safe,
effective system that maximizes the patient's access to the
outside world. Much recent work by other investigators has
focused on using decoded neural signals as low-level commands
to directly control the trajectory of screen cursors or robotic
end-effectors. Here we review results that show that high-level,
or cognitive, signals can be decoded during reaching arm

  

Source: Andersen, Richard - Division of Biology, California Institute of Technology

 

Collections: Biology and Medicine