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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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Detalles Bibliográficos
Autores principales: Bill, Johannes, Buesing, Lars, Habenschuss, Stefan, Nessler, Bernhard, Maass, Wolfgang, Legenstein, Robert
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4540468/
https://www.ncbi.nlm.nih.gov/pubmed/26284370
http://dx.doi.org/10.1371/journal.pone.0134356