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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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Dades bibliogràfiques
Publicat a:J Vis
Autors principals: Sato, Yoshiyuki, Kording, Konrad P.
Format: Artigo
Idioma:Inglês
Publicat: The Association for Research in Vision and Ophthalmology 2014
Matèries:
Accés en línia: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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