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Separate Bayesian inference reveals model properties shared between multiple experimental conditions
Author(s) -
Wichmann Felix
Publication year - 2011
Publication title -
frontiers in computational neuroscience
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 0.794
H-Index - 58
ISSN - 1662-5188
DOI - 10.3389/conf.fncom.2011.53.00107
Subject(s) - contrast (vision) , inference , computer science , bayesian inference , bayesian probability , event (particle physics) , constant (computer programming) , statistical inference , gibbs sampling , luminance , algorithm , artificial intelligence , mathematics , statistics , physics , quantum mechanics , programming language

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