The Redemption of Noise: Inference with Neural Populations

In 2006, Ma et al. presented an elegant theory for how populations of neurons might represent uncertainty to perform Bayesian inference. Critically, according to this theory, neural variability is no longer a nuisance, but rather a vital part of how the brain encodes probability distributions and pe...

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Detalles Bibliográficos
Autores principales: Echeveste, Rodrigo, Lengyel, Máté
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Applied Science Publishing 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6416224/
https://www.ncbi.nlm.nih.gov/pubmed/30366563
http://dx.doi.org/10.1016/j.tins.2018.09.003
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author Echeveste, Rodrigo
Lengyel, Máté
author_facet Echeveste, Rodrigo
Lengyel, Máté
author_sort Echeveste, Rodrigo
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description In 2006, Ma et al. presented an elegant theory for how populations of neurons might represent uncertainty to perform Bayesian inference. Critically, according to this theory, neural variability is no longer a nuisance, but rather a vital part of how the brain encodes probability distributions and performs computations with them.
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spelling pubmed-64162242019-03-25 The Redemption of Noise: Inference with Neural Populations Echeveste, Rodrigo Lengyel, Máté Trends Neurosci Article In 2006, Ma et al. presented an elegant theory for how populations of neurons might represent uncertainty to perform Bayesian inference. Critically, according to this theory, neural variability is no longer a nuisance, but rather a vital part of how the brain encodes probability distributions and performs computations with them. Elsevier Applied Science Publishing 2018-11 /pmc/articles/PMC6416224/ /pubmed/30366563 http://dx.doi.org/10.1016/j.tins.2018.09.003 Text en © 2018 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Echeveste, Rodrigo
Lengyel, Máté
The Redemption of Noise: Inference with Neural Populations
title The Redemption of Noise: Inference with Neural Populations
title_full The Redemption of Noise: Inference with Neural Populations
title_fullStr The Redemption of Noise: Inference with Neural Populations
title_full_unstemmed The Redemption of Noise: Inference with Neural Populations
title_short The Redemption of Noise: Inference with Neural Populations
title_sort redemption of noise: inference with neural populations
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6416224/
https://www.ncbi.nlm.nih.gov/pubmed/30366563
http://dx.doi.org/10.1016/j.tins.2018.09.003
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