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Decoding Algorithm for Neuronal Responses

Description of Invention:
The invention is a new algorithm for decoding neuronal responses based on the discovery that neuronal spike trains can be described using order statistics. The device has applications in the direct control of prosthetic limbs by neuronal signals originating from electrodes placed in the brain. The method allows for decoding neuronal responses by monitoring sequences of potentials from neurons while specific motor tasks are carried out. The sequences are then characterized using the innovative technique of applying order statistics to the spike train, such that subsequent action potentials representing unidentified motor tasks can be decoded to determine the unknown task. The invention is of substantial importance because it appears to have achieved a closed form interpretation of neuronal responses upon which a motor prosthetic device might be based.

Inventors:
Barry J. Richmond and Matthew C. Wiener (NIMH)

Patent Status:
DHHS Reference No. E-038-2001/0 --
U.S. Patent No. 7,442,212 issued 28 Oct 2008

Portfolios:
Devices/Instrumentation

Devices/Instrumentation-Therapeutics-Physical Medicine
Devices/Instrumentation-Research Materials-Software
Devices/Instrumentation-Therapeutics
Devices/Instrumentation-Research Materials


For Additional Information Please Contact:
Jeffrey A. James Ph.D.
NIH Office of Technology Transfer
6011 Executive Blvd, Suite 325
Rockville, MD 20852-3804
Phone: 301-435-5474
Email: jeffreyja@mail.nih.gov
Fax: 301-402-0220


Web Ref: 439

Updated: 4/01

 

 
 
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