Sparse coding and challenges for Bayesian models of the brain

Behav Brain Sci. 2013 Jun;36(3):232-3. doi: 10.1017/S0140525X12002300. Epub 2013 May 10.

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.

Publication types

  • Comment

MeSH terms

  • Attention / physiology*
  • Brain / physiology*
  • Cognition / physiology*
  • Cognitive Science / trends*
  • Humans
  • Perception / physiology*