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Published January 2010 | Published + Accepted Version
Journal Article Open

Cognitive Neural Prosthetics

Abstract

The cognitive neural prosthetic (CNP) is a very versatile method for assisting paralyzed patients and patients with amputations. The CNP records the cognitive state of the subject, rather than signals strictly related to motor execution or sensation. We review a number of high-level cortical signals and their application for CNPs, including intention, motor imagery, decision making, forward estimation, executive function, attention, learning, and multi-effector movement planning. CNPs are defined by the cognitive function they extract, not the cortical region from which the signals are recorded. However, some cortical areas may be better than others for particular applications. Signals can also be extracted in parallel from multiple cortical areas using multiple implants, which in many circumstances can increase the range of applications of CNPs. The CNP approach relies on scientific understanding of the neural processes involved in cognition, and many of the decoding algorithms it uses also have parallels to underlying neural circuit functions.

Additional Information

© 2010 Annual Reviews. First published online as a Review in Advance on September 28, 2009. We thank the National Institutes of Health, the Defense Advanced Research Projects Agency, the Boswell Foundation, and the McKnight Foundation for supporting this research. We also thank Drs. Eb Fetz and Michael Campos for discussions during the preparation of this review.We thank Dr. Viktor Shcherbatyuk, Tessa Yao, Kels´ıe Pejsa, and Nicole Sammons for technical and editorial assistance.

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Published - Andersen2010p6585Annu_Rev_Psychol.pdf

Accepted Version - nihms-186247.pdf

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