Complex Learning in Bio-plausible Memristive Networks

The emerging memristor-based neuromorphic engineering promises an efficient computing paradigm. However, the lack of both internal dynamics in the previous feedforward memristive networks and efficient learning algorithms in recurrent networks, fundamentally limits the learning ability of existing s...

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Detalles Bibliográficos
Autores principales: Deng, Lei, Li, Guoqi, Deng, Ning, Wang, Dong, Zhang, Ziyang, He, Wei, Li, Huanglong, Pei, Jing, Shi, Luping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2015
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4473596/
https://www.ncbi.nlm.nih.gov/pubmed/26090862
http://dx.doi.org/10.1038/srep10684

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4473596/
https://www.ncbi.nlm.nih.gov/pubmed/26090862
http://dx.doi.org/10.1038/srep10684

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