Andersen, R. A. and Musallam, S. and Burdick, J. W. and Cham, J. G. (2005) Cognitive based neural prosthetics. In: 2005 IEEE International Conference on Robotics and Automation (ICRA). IEEE International Conference on Robotics and Automation. IEEE , Piscataway, NJ, pp. 1908-1913. ISBN 0-7803-8914-X http://resolver.caltech.edu/CaltechAUTHORS:20110513-093139787
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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 from planned arm movements. These results, coupled with fundamental limitations in signal recording technology, motivate an approach in which cognitive neural signals play a larger role in the neural interface. This proposed paradigm predicates that neural signals should be used to instruct external devices, rather than control their detailed movement. This approach will reduce the effort required of the patient and will take advantage of established and on-going robotics research in intelligent systems and human-robot interfaces.
|Item Type:||Book Section|
|Additional Information:||© 2005 IEEE. Issue Date: 18-22 April 2005. Date of Current Version: 10 January 2006. 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. We would like to thank the members of the Andersen lab at Caltech, especially C. Buneo, B. Pesaran, B. Corneil and B. Greger. We also thank E. Branchaud and Z. Nenadic.|
|Subject Keywords:||Neural prosthetics; brain-machine interfaces|
|Official Citation:||Cognitive Based Neural Prosthetics Andersen, R.A.; Musallam, S.; Burdick, J.W.; Cham, J.G.; Robotics and Automation, 2005. ICRA 2005. Proceedings of the 2005 IEEE International Conference on Digital Object Identifier: 10.1109/ROBOT.2005.1570392 Publication Year: 2005 , Page(s): 1908 - 1913|
|Usage Policy:||No commercial reproduction, distribution, display or performance rights in this work are provided.|
|Deposited By:||Ruth Sustaita|
|Deposited On:||17 May 2011 16:17|
|Last Modified:||17 May 2011 16:17|
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