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How much to trust the senses: Likelihood learning
Our brain often needs to estimate unknown variables from imperfect information. Our knowledge about the statistical distributions of quantities in our environment (called priors) and currently available information from sensory inputs (called likelihood) are the basis of all Bayesian models of perce...
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| 出版年: | J Vis |
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| 主要な著者: | , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
The Association for Research in Vision and Ophthalmology
2014
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4233767/ https://ncbi.nlm.nih.gov/pubmed/25398975 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1167/14.13.13 |
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