Biological plausibility and stochasticity in scalable VO(2) active memristor neurons

Neuromorphic networks of artificial neurons and synapses can solve computationally hard problems with energy efficiencies unattainable for von Neumann architectures. For image processing, silicon neuromorphic processors outperform graphic processing units in energy efficiency by a large margin, but...

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Detalles Bibliográficos
Autores principales: Yi, Wei, Tsang, Kenneth K., Lam, Stephen K., Bai, Xiwei, Crowell, Jack A., Flores, Elias A.
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/PMC6220189/
https://www.ncbi.nlm.nih.gov/pubmed/30405124
http://dx.doi.org/10.1038/s41467-018-07052-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6220189/
https://www.ncbi.nlm.nih.gov/pubmed/30405124
http://dx.doi.org/10.1038/s41467-018-07052-w

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