DocumentCode
948438
Title
Cortical Neural Prosthesis Performance Improves When Eye Position Is Monitored
Author
Batista, Aaron P. ; Yu, Byron M. ; Santhanam, Gopal ; Ryu, Stephen I. ; Afshar, Afsheen ; Shenoy, Krishna V.
Author_Institution
Stanford Univ., Stanford
Volume
16
Issue
1
fYear
2008
Firstpage
24
Lastpage
31
Abstract
Neural prostheses that extract signals directly from cortical neurons have recently become feasible as assistive technologies for tetraplegic individuals. Significant effort toward improving the performance of these systems is now warranted. A simple technique that can improve prosthesis performance is to account for the direction of gaze in the operation of the prosthesis. This proposal stems from recent discoveries that the direction of gaze influences neural activity in several areas that are commonly targeted for electrode implantation in neural prosthetics. Here, we first demonstrate that neural prosthesis performance does improve when eye position is taken into account. We then show that eye position can be estimated directly from neural activity, and thus performance gains can be realized even without a device that tracks eye position.
Keywords
biomedical electrodes; brain; eye; handicapped aids; neurophysiology; prosthetics; brain-computer interfaces; cortical neurons; electrode implantation; eye position; gaze direction; neural prosthesis; neural prosthetics; tetraplegic individuals; Brain–machine interface; Brain-Machine Interface; Monkey; Multi-electrode; Neural Prosthetics; Premotor cortex; monkey; multielectrode; neural prosthetics; premotor cortex; Algorithms; Animals; Calibration; Cerebral Cortex; Electrodes, Implanted; Electrophysiology; Eye Movements; Hand; Macaca mulatta; Male; Neurons; Poisson Distribution; Prostheses and Implants;
fLanguage
English
Journal_Title
Neural Systems and Rehabilitation Engineering, IEEE Transactions on
Publisher
ieee
ISSN
1534-4320
Type
jour
DOI
10.1109/TNSRE.2007.906958
Filename
4359221
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