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Toward prosthetic systems controlled by parietal cortex
Krishna V. Shenoy1, Daniella Meeker2,
Shiyan Cao3,
Sohaib A. Kureshi1,4,5, Christopher A. Buneo1,
Aaron P. Batista2,6, Joel W. Burdick3 and
Richard A. Andersen1,2
1Division of Biology, Caltech
2Computation and Neural Systems Program, Caltech
3Division of Engineering and Applied Science, Caltech
4Division of Neurosurgery, Duke University
5Neurosurgical Medical Clinic, Inc., San Diego, CA
6Howard Hughes Medical Institute and Department of Neurobiology,
Stanford University
The prospect of helping disabled patients, by translating neural
activity from the brain into control signals for prosthetic devices,
has flourished in recent years. This is due largely to the successful
demonstration of robotic arms guided by cortical activity measured
during ongoing arm movements. While quite successful to date, this
approach may prove less tenable when tested in injured or diseased
subjects where execution-related activity may change significantly.
To investigate how activity present before, or even without, natural
arm movements might be used to control prosthetic devices we measured
neural activity in the parietal cortex while monkeys planned to reach
to the remembered locations of visual targets. We will describe how
such planned, or cognitive, activity from tens of parietal reach region
neurons can be used to estimate when and where to move a prosthetic
device. We propose that cognitive control signals may be well suited
for use in a variety of prosthetic systems.