Physical Realization of a Supervised Learning System Built with Organic Memristive Synapses

Multiple modern applications of electronics call for inexpensive chips that can perform complex operations on natural data with limited energy. A vision for accomplishing this is implementing hardware neural networks, which fuse computation and memory, with low cost organic electronics. A challenge,...

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Detalles Bibliográficos
Autores principales: Lin, Yu-Pu, Bennett, Christopher H., Cabaret, Théo, Vodenicarevic, Damir, Chabi, Djaafar, Querlioz, Damien, Jousselme, Bruno, Derycke, Vincent, Klein, Jacques-Olivier
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5013285/
https://www.ncbi.nlm.nih.gov/pubmed/27601088
http://dx.doi.org/10.1038/srep31932

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5013285/
https://www.ncbi.nlm.nih.gov/pubmed/27601088
http://dx.doi.org/10.1038/srep31932

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