Metaplastic and energy-efficient biocompatible graphene artificial synaptic transistors for enhanced accuracy neuromorphic computing

CMOS-based computing systems that employ the von Neumann architecture are relatively limited when it comes to parallel data storage and processing. In contrast, the human brain is a living computational signal processing unit that operates with extreme parallelism and energy efficiency. Although num...

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Detalles Bibliográficos
Autores principales: Kireev, Dmitry, Liu, Samuel, Jin, Harrison, Patrick Xiao, T., Bennett, Christopher H., Akinwande, Deji, Incorvia, Jean Anne C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9334620/
https://www.ncbi.nlm.nih.gov/pubmed/35902599
http://dx.doi.org/10.1038/s41467-022-32078-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9334620/
https://www.ncbi.nlm.nih.gov/pubmed/35902599
http://dx.doi.org/10.1038/s41467-022-32078-6

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