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
Link To Document :
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