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Title:
SPIKING NEURON REINFORCING CIRCUIT AND REINFORCING METHOD
Document Type and Number:
WIPO Patent Application WO/2023/124006
Kind Code:
A1
Abstract:
A spiking neuron reinforcing circuit and reinforcing method, which solve the defect in the prior art that a spiking neuron is easily subjected to computing errors due to the influence of a single event effect, and effectively improve the spatial environment adaptability of the spiking neuron. According to the method, spiking neurons and neuron discharge spiking signals that are required by a spiking neural network can be realized by means of configuration information and model parameters. In addition, according to the method, error detection and correction and fault tolerance are performed on the configuration information and the model parameters by means of an ECC coding/decoding module. Furthermore, according to the method, backup and fault tolerance are performed on the configuration information and the model parameters by means of a shadow memory (or a register group).

Inventors:
QIN HUI (CN)
CHEN LEI (CN)
ZHANG YANLONG (CN)
WANG LIANG (CN)
SONG LIGUO (CN)
CHEN MIAO (CN)
ZHENG HONGCHAO (CN)
LI TONGDE (CN)
ZHU LEI (CN)
ZHAO YUANFU (CN)
Application Number:
PCT/CN2022/105098
Publication Date:
July 06, 2023
Filing Date:
July 12, 2022
Export Citation:
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Assignee:
BEIJING MICROELECTRONICS TECH INSTITUTE (CN)
BEIJING MXTRONICS TECH CO LTD (CN)
International Classes:
G06N3/063
Domestic Patent References:
WO2015102935A22015-07-09
Foreign References:
CN114528983A2022-05-24
CN112836811A2021-05-25
CN113272828A2021-08-17
Other References:
XU, MENGYAO: "Gradient Descent-Based Spiking Neural Network Training Algorithm", XIANDAI JISUANJI (ZHUANYE BAN)/ MODERN COMPUTER (PROFESSIONAL EDITION), XIANDAI JISUANJI ZAZHISHE, CHINA, no. 35, 15 December 2021 (2021-12-15), China , pages 1 - 11, XP009547421, ISSN: 1007-1423, DOI: 10.3969/j.issn.1007-1423.2021.35.001
Attorney, Agent or Firm:
PATENT AGENT OF CHINA AEROSPACE TECHNOLOGY (CN)
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