Neural sampling machine with stochastic synapse allows brain-like learning and inference

Many real-world mission-critical applications require continual online learning from noisy data and real-time decision making with a defined confidence level. Brain-inspired probabilistic models of neural network can explicitly handle the uncertainty in data and allow adaptive learning on the fly. H...

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Detalles Bibliográficos
Autores principales: Dutta, Sourav, Detorakis, Georgios, Khanna, Abhishek, Grisafe, Benjamin, Neftci, Emre, Datta, Suman
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/PMC9095718/
https://www.ncbi.nlm.nih.gov/pubmed/35546144
http://dx.doi.org/10.1038/s41467-022-30305-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9095718/
https://www.ncbi.nlm.nih.gov/pubmed/35546144
http://dx.doi.org/10.1038/s41467-022-30305-8

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