Dynamic memristor-based reservoir computing for high-efficiency temporal signal processing

Reservoir computing is a highly efficient network for processing temporal signals due to its low training cost compared to standard recurrent neural networks, and generating rich reservoir states is critical in the hardware implementation. In this work, we report a parallel dynamic memristor-based r...

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Detalles Bibliográficos
Autores principales: Zhong, Yanan, Tang, Jianshi, Li, Xinyi, Gao, Bin, Qian, He, Wu, Huaqiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7814066/
https://www.ncbi.nlm.nih.gov/pubmed/33462233
http://dx.doi.org/10.1038/s41467-020-20692-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7814066/
https://www.ncbi.nlm.nih.gov/pubmed/33462233
http://dx.doi.org/10.1038/s41467-020-20692-1

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