基于Ge-Ga-Sb介质的全相变脉冲神经网络的设计-Reference-Cited by-同舟云学术

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基于Ge-Ga-Sb介质的全相变脉冲神经网络的设计

Published:2023-01-01 Issue:4 Volume:66 Page:1551-1558
ISSN:2095-8226
Container-title:Science China Materials
language:en
Short-container-title:Sci. China Mater.

Author:

Lin Jun,Mai Xianliang,Zhang Dayou,Wang Kuan,Wang Huan,Li Yi,Tong Hao,He Yuhui,Xu Ming,Miao Xiangshui

Publisher

Springer Science and Business Media LLC

Subject

General Materials Science

Link

https://link.springer.com/content/pdf/10.1007/s40843-022-2283-9.pdf

Reference49 articles.

1. Silver D, Schrittwieser J, Simonyan K, et al. Mastering the game of Go without human knowledge. Nature, 2017, 550: 354–359

2. Yao P, Wu H, Gao B, et al. Face classification using electronic synapses. Nat Commun, 2017, 8: 15199

3. Wang K, Hu Q, Gao B, et al. Threshold switching memristor-based stochastic neurons for probabilistic computing. Mater Horiz, 2021, 8: 619–629

4. Mutlu O, Ghose S, Gómez-Luna J, et al. Processing data where it makes sense: Enabling in-memory computation. Microprocessors MicroSyst, 2019, 67: 28–41

5. Roy K, Jaiswal A, Panda P. Towards spike-based machine intelligence with neuromorphic computing. Nature, 2019, 575: 607–617

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