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:
Mar. 03, 2020

Filed:

Aug. 26, 2014
Applicant:

Aut Ventures Limited, Auckland, NZ;

Inventors:

Nikola Kirilov Kasabov, Auckland, NZ;

Zeng-Guang Hou, Beijing, CN;

Valery Feigin, Auckland, NZ;

Yixiong Chen, Shanghai, CN;

Assignee:

AUT Ventures Limited, Auckland, NZ;

Attorneys:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06N 3/08 (2006.01); G06N 7/00 (2006.01); G06N 3/04 (2006.01);
U.S. Cl.
CPC ...
G06N 3/088 (2013.01); G06N 3/049 (2013.01); G06N 3/086 (2013.01); G06N 7/005 (2013.01);
Abstract

This invention involves use of temporal or spatio/spector-temporal data (SSTD) for early classification of outputs that are results of spatio-temporal patterns of data. Classification models are based on spiking neural networks (SNN) suitable to learn and classify SSTD. The invention may predict early events in many applications, i.e. engineering, bioinformatics, neuroinformatics, predicting response to treatment of neurological and brain disease, ecology, environment, medicine, and economics, among others. The invention involves a method and system for personalized modelling of SSTD and early prediction of events based on evolving spiking neural network reservoir architecture (eSNNr). The system includes a spike-time encoding module to encode continuous value input information into spike trains, a recurrent 3D SNNr and an eSSN as an output classification module.


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