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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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Bibliografische gegevens
Gepubliceerd in:J Vis
Hoofdauteurs: Sato, Yoshiyuki, Kording, Konrad P.
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: The Association for Research in Vision and Ophthalmology 2014
Onderwerpen:
Online toegang: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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