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Chance, long tails, and inference in a non-Gaussian, Bayesian theory of vocal learning in songbirds
Traditional theories of sensorimotor learning posit that animals use sensory error signals to find the optimal motor command in the face of Gaussian sensory and motor noise. However, most such theories cannot explain common behavioral observations, for example, that smaller sensory errors are more r...
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| 出版年: | Proc Natl Acad Sci U S A |
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| 主要な著者: | , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
National Academy of Sciences
2018
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6130353/ https://ncbi.nlm.nih.gov/pubmed/30127024 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1073/pnas.1713020115 |
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