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Brain networks for confidence weighting and hierarchical inference during probabilistic learning
Learning is difficult when the world fluctuates randomly and ceaselessly. Classical learning algorithms, such as the delta rule with constant learning rate, are not optimal. Mathematically, the optimal learning rule requires weighting prior knowledge and incoming evidence according to their respecti...
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| Publicado no: | Proc Natl Acad Sci U S A |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
National Academy of Sciences
2017
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5441722/ https://ncbi.nlm.nih.gov/pubmed/28439014 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1073/pnas.1615773114 |
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