The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jul. 10, 2018

Filed:

Oct. 14, 2014
Applicant:

University of Tennessee Research Foundation, Knoxville, TN (US);

Inventors:

J. Douglas Birdwell, Oak Ridge, TN (US);

Mark E. Dean, Jefferson City, TN (US);

Catherine Schuman, Knoxville, TN (US);

Assignee:
Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06N 3/063 (2006.01); G06F 17/30 (2006.01); G06N 3/02 (2006.01); G06N 3/08 (2006.01); G06N 3/10 (2006.01); G06N 3/04 (2006.01);
U.S. Cl.
CPC ...
G06F 17/30312 (2013.01); G06N 3/02 (2013.01); G06N 3/049 (2013.01); G06N 3/063 (2013.01); G06N 3/0635 (2013.01); G06N 3/08 (2013.01); G06N 3/086 (2013.01); G06N 3/10 (2013.01);
Abstract

A method and apparatus for constructing a neuroscience-inspired artificial neural network (NIDA) or a dynamic adaptive neural network array (DANNA) or combinations of substructures thereof comprises one of constructing a substructure of an artificial neural network for performing a subtask of the task of the artificial neural network or extracting a useful substructure based on one of activity, causality path, behavior and inputs and outputs. The method includes identifying useful substructures in artificial neural networks that may be either successful at performing a subtask or unsuccessful at performing a subtask. Successful substructures may be implanted in an artificial neural network and unsuccessful substructures may be extracted from the artificial neural network for performing the task. The method and apparatus supports constructing, using and reusing components and structures of a neuroscience-inspired artificial neural network dynamic architecture in software and a dynamic adaptive neural network array.


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