Efficient and self-adaptive in-situ learning in multilayer memristor neural networks

Memristors with tunable resistance states are emerging building blocks of artificial neural networks. However, in situ learning on a large-scale multiple-layer memristor network has yet to be demonstrated because of challenges in device property engineering and circuit integration. Here we monolithi...

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Detalles Bibliográficos
Autores principales: Li, Can, Belkin, Daniel, Li, Yunning, Yan, Peng, Hu, Miao, Ge, Ning, Jiang, Hao, Montgomery, Eric, Lin, Peng, Wang, Zhongrui, Song, Wenhao, Strachan, John Paul, Barnell, Mark, Wu, Qing, Williams, R. Stanley, Yang, J. Joshua, Xia, Qiangfei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6008303/
https://www.ncbi.nlm.nih.gov/pubmed/29921923
http://dx.doi.org/10.1038/s41467-018-04484-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6008303/
https://www.ncbi.nlm.nih.gov/pubmed/29921923
http://dx.doi.org/10.1038/s41467-018-04484-2

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