Hardware Demonstration of SRDP Neuromorphic Computing with Online Unsupervised Learning Based on Memristor Synapses

Neuromorphic computing has shown great advantages towards cognitive tasks with high speed and remarkable energy efficiency. Memristor is considered as one of the most promising candidates for the electronic synapse of the neuromorphic computing system due to its scalability, power efficiency and cap...

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Detalles Bibliográficos
Autores principales: Li, Ruiyi, Huang, Peng, Feng, Yulin, Zhou, Zheng, Zhang, Yizhou, Ding, Xiangxiang, Liu, Lifeng, Kang, Jinfeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8951175/
https://www.ncbi.nlm.nih.gov/pubmed/35334725
http://dx.doi.org/10.3390/mi13030433

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8951175/
https://www.ncbi.nlm.nih.gov/pubmed/35334725
http://dx.doi.org/10.3390/mi13030433

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