Bayesian inference is facilitated by modular neural networks with different time scales.
Various animals, including humans, have been suggested to perform Bayesian inferences to handle noisy, time-varying external information. In performing Bayesian inference by the brain, the prior distribution must be acquired and represented by sampling noisy external inputs. However, the mechanism b...
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| Principais autores: | , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science (PLoS)
2024-03-01
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| coleção: | PLoS Computational Biology |
| Acesso em linha: | https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1011897&type=printable |
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