title: God, the devil, and the details: Fleshing out the predictive processing framework.
abstract: The predictive processing framework lacks many of the architectural and implementational details needed to fully investigate or evaluate the ideas it presents. One way to begin to fill in these details is by turning to standard control-theoretic descriptions of these types of systems (e.g., Kalman filters), and by building complex, unified computational models in biologically realistic neural simulations.
authors.affiliation: Centre for Theoretical Neuroscience, University of Waterloo, Waterloo, ON N2L 3G1, Canada. drasmuss@uwaterloo.ca
authors.forename: Daniel
authors.initials: D
authors.lastname: Rasmussen
authors.forename: Chris
authors.initials: C
authors.lastname: Eliasmith
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*