Experimental Demonstration of Supervised Learning in Spiking Neural Networks with Phase-Change Memory Synapses

Spiking neural networks (SNN) are computational models inspired by the brain’s ability to naturally encode and process information in the time domain. The added temporal dimension is believed to render them more computationally efficient than the conventional artificial neural networks, though their...

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Detalles Bibliográficos
Autores principales: Nandakumar, S. R., Boybat, Irem, Le Gallo, Manuel, Eleftheriou, Evangelos, Sebastian, Abu, Rajendran, Bipin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7228943/
https://www.ncbi.nlm.nih.gov/pubmed/32415108
http://dx.doi.org/10.1038/s41598-020-64878-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7228943/
https://www.ncbi.nlm.nih.gov/pubmed/32415108
http://dx.doi.org/10.1038/s41598-020-64878-5

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