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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Detalles Bibliográficos
Autores principales: Pecevski, Dejan, Buesing, Lars, Maass, Wolfgang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2011
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3240581/
https://www.ncbi.nlm.nih.gov/pubmed/22219717
http://dx.doi.org/10.1371/journal.pcbi.1002294

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3240581/
https://www.ncbi.nlm.nih.gov/pubmed/22219717
http://dx.doi.org/10.1371/journal.pcbi.1002294

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