Nonlinearity in Memristors for Neuromorphic Dynamic Systems-Reference-Cited by-同舟云学术

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Nonlinearity in Memristors for Neuromorphic Dynamic Systems

Published:2021-09-28 Issue:1 Volume:2 Page:2100049
ISSN:2688-4046
Container-title:Small Science
language:en
Short-container-title:Small Science

Author:

Yang Ke¹,Joshua Yang J.²,Huang Ru¹³⁴,Yang Yuchao¹³⁴^ORCID

Affiliation:

1. Department of Micro/nanoelectronics Peking University Beijing 100871 China

2. Electrical and Computer Engineering Department University of Southern California Los Angeles CA 90089 USA

3. Center for Brain Inspired Chips Institute for Artificial Intelligence Peking University Beijing 100871 China

4. Center for Brain Inspired Intelligence Chinese Institute for Brain Research (CIBR) Beijing 102206 China

Funder

National Natural Science Foundation of China

Publisher

Wiley

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/smsc.202100049

Reference201 articles.

1. Deep learning

2. J.Devlin M.‐W.Chang K.Lee K.Toutanova arXiv preprint arXiv: 1810.04805 2018.

3. Resistive switching materials for information processing

4. Efficient 16 Boolean logic and arithmetic based on bipolar oxide memristors

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