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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
Publicado en:Sci Rep
Main Authors: Nandakumar, S. R., Boybat, Irem, Le Gallo, Manuel, Eleftheriou, Evangelos, Sebastian, Abu, Rajendran, Bipin
Formato: Artigo
Idioma:Inglês
Publicado: Nature Publishing Group UK 2020
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Acceso en liña:https://ncbi.nlm.nih.gov/pmc/articles/PMC7228943/
https://ncbi.nlm.nih.gov/pubmed/32415108
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-020-64878-5
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