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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...

Deskribapen osoa

Gorde:
Xehetasun bibliografikoak
Egile Nagusiak: Pecevski, Dejan, Buesing, Lars, Maass, Wolfgang
Formatua: Artigo
Hizkuntza:Inglês
Argitaratua: Public Library of Science 2011
Gaiak:
Sarrera elektronikoa: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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