A low-power Si:HfO2 ferroelectric tunnel memristor for spiking neural networks-Reference-Cited by-同舟云学术

A low-power Si:HfO2 ferroelectric tunnel memristor for spiking neural networks

Published:2023-03 Issue: Volume:107 Page:108091
ISSN:2211-2855
Container-title:Nano Energy
language:en
Short-container-title:Nano Energy

Author:

Yan Xiaobing^ORCID,Jia Xiaotong,Zhang Yinxing,Shi Shu,Wang Lulu,Shao Yiduo,Sun Yong,Sun Shiqing,Zhao Zhen,Zhao Jianhui,Sun Jiameng,Guo Zhenqiang,Guan Zhiyuan,Zhang Zixuan,Han Xu,Chen Jingsheng

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,General Materials Science,Renewable Energy, Sustainability and the Environment

Reference61 articles.

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4. Deep learning with spiking neurons: opportunities and challenges;Pfeiffer;Front. Neurosci.,2018

5. Neuromorphic silicon neuron circuits;Indiveri;Front. Neurosci.,2011

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