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Distributed Bayesian Computation and Self-Organized Learning in Sheets of Spiking Neurons with Local Lateral Inhibition

During the last decade, Bayesian probability theory has emerged as a framework in cognitive science and neuroscience for describing perception, reasoning and learning of mammals. However, our understanding of how probabilistic computations could be organized in the brain, and how the observed connec...

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Detalhes bibliográficos
Publicado no:PLoS One
Main Authors: Bill, Johannes, Buesing, Lars, Habenschuss, Stefan, Nessler, Bernhard, Maass, Wolfgang, Legenstein, Robert
Formato: Artigo
Idioma:Inglês
Publicado em: Public Library of Science 2015
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC4540468/
https://ncbi.nlm.nih.gov/pubmed/26284370
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0134356
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