title: Grounding predictive coding models in empirical neuroscience research.
abstract: Clark makes a convincing case for the merits of conceptualizing brains as hierarchical prediction machines. This perspective has the potential to provide an elegant and powerful general theory of brain function, but it will ultimately stand or fall with evidence from basic neuroscience research. Here, we characterize the status quo of that evidence and highlight important avenues for future investigations.
authors.affiliation: Department of Psychology & Neuroscience, and Center for Cognitive Neuroscience, Duke University, Durham, NC 27708, USA. tobias.egner@duke.edu
authors.forename: Tobias
authors.initials: T
authors.lastname: Egner
authors.forename: Christopher
authors.initials: C
authors.lastname: Summerfield
mesh_terms: D001288:Attention / Q000502:physiology*; D001921:Brain / Q000502:physiology*; D003071:Cognition / Q000502:physiology*; D019336:Cognitive Science / Q000639:trends*; D006801:Humans; D010465:Perception / Q000502:physiology*