title: Becoming Confident in the Statistical Nature of Human Confidence Judgments.
abstract: In this issue of Neuron, Sanders et al. (2016) demonstrate that human confidence judgments seem to arise from computations compatible with statistical decision theory, shining a new light on the old questions of how such judgments are formed.
authors.affiliation: Department of Neurobiology, Harvard Medical School, Boston, MA 02115, USA. Electronic address: jan_drugowitsch@hms.harvard.edu.
authors.forename: Jan
authors.initials: J
authors.lastname: Drugowitsch
mesh_terms: D000818:Animals; D001499:Bayes Theorem; D003657:Decision Making / Q000502:physiology*; D006801:Humans; D007600:Judgment / Q000502:physiology*; D035501:Uncertainty
keywords: Bayesian models; confidence; decision making; uncertainty