A Bayesian perspective on magnitude estimation. Issue 5 (May 2015)

• Record Type: Journal Article
• Authors: Petzschner, Frederike H.; Glasauer, Stefan; Stephan, Klaas E.
• Is Part Of: Trends in cognitive sciences. Volume 19:Issue 5(2015)
• Page Start: 285
• Page End: 293
• Publication Date: 2015-05
• Subjects: Cognitive science -- Periodicals; Cognitive neuroscience -- Periodicals; 153.05
• DOI: 10.1016/j.tics.2015.03.002
• Languages: English
• ISSNs: 1364-6613

Abstract

<abstract abstract-type="author-highlights" id="abs0005"> <title id="sect0020">Highlights</title> <sec> <p id="spar0005"> <list id="lis0005"> <list-item id="lsti0005"> <label></label> <p id="par0005">A generic Bayesian framework explains regression, range, and sequential effects.</p> </list-item> <list-item id="lsti0010"> <label></label> <p id="par0010">Weber-Fechner law and Stevens' power law can be linked via Bayes' Rule.</p> </list-item> <list-item id="lsti0015"> <label></label> <p id="par0015">Stevens' power law exponent can be reinterpreted as weighting of prior knowledge.</p> </list-item> <list-item id="lsti0020"> <label></label> <p id="par0020">We link Bayesian explanations of magnitude estimation to theories of schizophrenia.</p> </list-item> </list> </p> </sec> </abstract>