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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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Détails bibliographiques
Publié dans:PLoS One
Auteurs principaux: Bill, Johannes, Buesing, Lars, Habenschuss, Stefan, Nessler, Bernhard, Maass, Wolfgang, Legenstein, Robert
Format: Artigo
Langue:Inglês
Publié: Public Library of Science 2015
Sujets:
Accès en ligne: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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