Neuronal Decoding Algorithm for Prosthetic Limbs


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.

Potential Commercial Applications: Competitive Advantages:
  • Direct control of prosthetic limbs by neurons
  • Closed form interpretation of neuronal response for prosthetic devices
 


Development Stage:
Early-stage

Inventors:

Barry Richmond (NIMH)  ➽ more inventions...

Matthew Weiner (NIMH)  ➽ more inventions...


Intellectual Property:
U.S. Pat: 7,442,212 issued 2008-10-28
US Application No. 60/261,494
PCT Application No. PCT/US02/00942

Collaboration Opportunity:

The National Institute of Mental Health, Laboratory of Neuropsychology, is seeking statements of capability or interest from parties interested in collaborative research to further develop, evaluate, or commercialize decoding algorithm for neuronal responses. Please contact Jennifer Wong at jennifer.wong2@nih.gov or 301-480-4821 for more information.


Licensing Contact:
Jennifer Wong, M.S.
Email: jennifer.wong2@nih.gov
Phone: 301-480-4821

OTT Reference No: E-038-2001/0
Updated: Aug 17, 2016