Direct cortical control of 3D neuroprosthetic devices. Taylor, D. M, Tillery, S. I H., & Schwartz, A. B Science, 296(5574):1829-32, 2002. doi abstract bibtex Three-dimensional (3D) movement of neuroprosthetic devices can be controlled by the activity of cortical neurons when appropriate algorithms are used to decode intended movement in real time. Previous studies assumed that neurons maintain fixed tuning properties, and the studies used subjects who were unaware of the movements predicted by their recorded units. In this study, subjects had real-time visual feedback of their brain-controlled trajectories. Cell tuning properties changed when used for brain-controlled movements. By using control algorithms that track these changes, subjects made long sequences of 3D movements using far fewer cortical units than expected. Daily practice improved movement accuracy and the directional tuning of these units.
@Article{Taylor2002,
author = {Dawn M Taylor and Stephen I Helms Tillery and Andrew B Schwartz},
journal = {Science},
title = {Direct cortical control of 3{D} neuroprosthetic devices.},
year = {2002},
number = {5574},
pages = {1829-32},
volume = {296},
abstract = {Three-dimensional (3D) movement of neuroprosthetic devices can be
controlled by the activity of cortical neurons when appropriate algorithms
are used to decode intended movement in real time. Previous studies
assumed that neurons maintain fixed tuning properties, and the studies
used subjects who were unaware of the movements predicted by their
recorded units. In this study, subjects had real-time visual feedback
of their brain-controlled trajectories. Cell tuning properties changed
when used for brain-controlled movements. By using control algorithms
that track these changes, subjects made long sequences of 3D movements
using far fewer cortical units than expected. Daily practice improved
movement accuracy and the directional tuning of these units.},
doi = {10.1126/science.1070291},
keywords = {Algorithms, Animals, Arm, Computer Simulation, Hand, Humans, Learning, Macaca mulatta, Motor Cortex, Motor Neurons, Movement, Non-U.S. Gov't, P.H.S., Prostheses and Implants, Research Support, U.S. Gov't, User-Computer Interface, Visual Perception, 12052943},
}
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