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:
Feb. 01, 2022

Filed:

Nov. 28, 2016
Applicant:

Zhejiang University, Hangzhou, CN;

Inventors:

Gang Pan, Hangzhou, CN;

Dong Xing, Hangzhou, CN;

Cunle Qian, Hangzhou, CN;

Yiwen Wang, Hangzhou, CN;

Qiaosheng Zhang, Hangzhou, CN;

Yaoyao Hao, Hangzhou, CN;

Yueming Wang, Hangzhou, CN;

Xiaoxiang Zheng, Hangzhou, CN;

Zhaohui Wu, Hangzhou, CN;

Assignee:

ZHEJIANG UNIVERSITY, Hangzhou, CN;

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G16H 50/50 (2018.01); A61B 5/00 (2006.01); A61B 5/24 (2021.01); G06F 111/10 (2020.01);
U.S. Cl.
CPC ...
G16H 50/50 (2018.01); A61B 5/24 (2021.01); A61B 5/7275 (2013.01); G06F 2111/10 (2020.01);
Abstract

The present invention is related to a method for prediction of cortical spiking neural signal, comprising the following steps: 1) pretreatment of spiking neural signal, 2) modeling of posterior cortical spiking neural signal generation probability, 3) model accuracy measurement, 4) model optimization with the help of numerical gradient descent and 5) prediction of posterior cortical spiking neural signal with iterative calculation. The prediction method aims to incorporate natural features of point process of spiking neural signal into the target for optimization of prediction model to improve model's capability in predicting neural spike trains.


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