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Probabilistic Inference in General Graphical Models through Sampling in Stochastic Networks of Spiking Neurons

An important open problem of computational neuroscience is the generic organization of computations in networks of neurons in the brain. We show here through rigorous theoretical analysis that inherent stochastic features of spiking neurons, in combination with simple nonlinear computational operati...

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書誌詳細
主要な著者: Pecevski, Dejan, Buesing, Lars, Maass, Wolfgang
フォーマット: Artigo
言語:Inglês
出版事項: Public Library of Science 2011
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC3240581/
https://ncbi.nlm.nih.gov/pubmed/22219717
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pcbi.1002294
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