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The neural coding framework for learning generative models

Neural generative models can be used to learn complex probability distributions from data, to sample from them, and to produce probability density estimates. We propose a computational framework for developing neural generative models inspired by the theory of predictive processing in the brain. Acc...

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Detalles Bibliográficos
Autores principales: Ororbia, Alexander, Kifer, Daniel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9018730/
https://www.ncbi.nlm.nih.gov/pubmed/35440589
http://dx.doi.org/10.1038/s41467-022-29632-7