Memristor Neural Network Training with Clock Synchronous Neuromorphic System

Memristor devices are considered to have the potential to implement unsupervised learning, especially spike timing-dependent plasticity (STDP), in the field of neuromorphic hardware research. In this study, a neuromorphic hardware system for multilayer unsupervised learning was designed, and unsuper...

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Detalles Bibliográficos
Autores principales: Jo, Sumin, Sun, Wookyung, Kim, Bokyung, Kim, Sunhee, Park, Junhee, Shin, Hyungsoon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6632029/
https://www.ncbi.nlm.nih.gov/pubmed/31181763
http://dx.doi.org/10.3390/mi10060384

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6632029/
https://www.ncbi.nlm.nih.gov/pubmed/31181763
http://dx.doi.org/10.3390/mi10060384

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