An Ultra-Energy-Efficient and High Accuracy ECG Classification Processor With SNN Inference Assisted by On-Chip ANN Learning-Reference-Cited by-同舟云学术

An Ultra-Energy-Efficient and High Accuracy ECG Classification Processor With SNN Inference Assisted by On-Chip ANN Learning

Published:2022-10 Issue:5 Volume:16 Page:832-841
ISSN:1932-4545
Container-title:IEEE Transactions on Biomedical Circuits and Systems
language:
Short-container-title:IEEE Trans. Biomed. Circuits Syst.

Author:

Mao Ruixin¹,Li Sixu¹,Zhang Zhaomin¹^ORCID,Xia Zihan¹^ORCID,Xiao Jianbiao¹^ORCID,Zhu Zixuan¹,Liu Jiahao¹^ORCID,Shan Weiwei²^ORCID,Chang Liang¹^ORCID,Zhou Jun¹^ORCID

Affiliation:

1. School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan, China

2. National ASIC Center, School of Electronic Science and Engineering, Southeast University, Nanjing, Jiangsu, China

Funder

National Key Research and Development Program of China

National Safety Academic Fund

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Biomedical Engineering

Link

http://xplorestaging.ieee.org/ielx7/4156126/9966855/09804873.pdf?arnumber=9804873

Reference22 articles.

1. Spiking neural networks, an introduction;vreeken;Computing,2002

2. Simple model of spiking neurons

3. Neuronal Dynamics

4. Competitive STDP-Based Spike Pattern Learning

5. Training Deep Spiking Neural Networks Using Backpropagation

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