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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...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Elsevier Applied Science Publishing
2018
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| 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 |