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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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| Publicado no: | J Vis |
|---|---|
| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
The Association for Research in Vision and Ophthalmology
2014
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| Assuntos: | |
| Acesso em linha: | 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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