Multiple-electrode neuronal recording has created tremendous new opportunities for gaining insight into the neural substrate of behavior, and it has made possible the construction of brain-controlled robotic devices. A crucial problem is to describe evolution of neuronal activity during learning, which is of interest not only from the point of view of basic science, but also because knowledge of the changes that occur while a subject learns a task is necessary for the construction of reliable neural prosthetic algorithms. This research will develop and adapt statistical methods for analysis of multiple-electrode data from a series of experiments aimed at understanding the evolution of cortical activity in several areas of the brain while a monkey learns hand movement tasks. The results will lead to improvements in brain-controlled robotic devices for neural prostheses and, thus, will likely benefit people paralyzed by head or spinal cord trauma, amputees, and those with severe deficits caused by diseases such as stroke, amyotrophic lateral sclerosis, cerebral palsy, or multiple sclerosis.

Agency
National Institute of Health (NIH)
Institute
National Institute of Biomedical Imaging and Bioengineering (NIBIB)
Type
Research Project (R01)
Project #
5R01EB005847-04
Application #
7454123
Study Section
Special Emphasis Panel (ZRG1-IFCN-B (50))
Program Officer
Peng, Grace
Project Start
2005-09-01
Project End
2010-06-30
Budget Start
2008-07-01
Budget End
2010-06-30
Support Year
4
Fiscal Year
2008
Total Cost
$293,194
Indirect Cost
Name
Carnegie-Mellon University
Department
Biostatistics & Other Math Sci
Type
Schools of Arts and Sciences
DUNS #
052184116
City
Pittsburgh
State
PA
Country
United States
Zip Code
15213
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