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Neuronal message passing using Mean-field, Bethe, and Marginal approximations
Neuronal computations rely upon local interactions across synapses. For a neuronal network to perform inference, it must integrate information from locally computed messages that are propagated among elements of that network. We review the form of two popular (Bayesian) message passing schemes and c...
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| Publicado no: | Sci Rep |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Nature Publishing Group UK
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6374414/ https://ncbi.nlm.nih.gov/pubmed/30760782 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-018-38246-3 |
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