title: Sparse coding and challenges for Bayesian models of the brain.
abstract: While the target article provides a glowing account for the excitement in the field, we stress that hierarchical predictive learning in the brain requires sparseness of the representation. We also question the relation between Bayesian cognitive processes and hierarchical generative models as discussed by the target article.
authors.affiliation: Faculty of Computer Science, Dalhousie University, Halifax, NS B3H 4R2, Canada. tt@cs.dal.ca
authors.forename: Thomas
authors.initials: T
authors.lastname: Trappenberg
authors.forename: Paul
authors.initials: P
authors.lastname: Hollensen
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*