Critical Slowing and Perception

Karl Friston, Michael Breakspear, Gustavo Deco

Research output: Chapter in Book/Report/Conference proceedingChapter (Book)Researchpeer-review

3 Citations (Scopus)

Abstract

This chapter considers state-dependent dynamics that mediate perception in the brain. In particular, it considers the formal basis of self-organized instabilities that enable perceptual transitions during Bayes-optimal perception. The basic phenomena we consider are perceptual transitions that lead to conscious ignition and how they depend on dynamical instabilities that underlie chaotic itinerancy and self-organized. Our approach is based on a dynamical formulation of perception as approximate Bayesian inference, in terms of variational free energy minimization. This formulation suggests that perception has an inherent tendency to induce dynamical instabilities (critical slowing) that enable the brain to respond sensitively to sensory perturbations. We briefly review the dynamics of perception, in terms of generalized Bayesian filtering and free energy minimization, present a formal conjecture about self-organized instability and then test this conjecture, using neuronal (numerical) simulations of perceptual categorization.

Original languageEnglish
Title of host publicationCriticality in Neural Systems
EditorsDietmar Plenz, Ernst Niebur
Place of PublicationWeinheim, Germany
PublisherWiley-VCH Verlag GmbH & Co. KGaA
Chapter9
Pages191-226
Number of pages36
ISBN (Electronic)9783527651009, 9783527651030
ISBN (Print)9783527411047
DOIs
Publication statusPublished - 2014
Externally publishedYes

Keywords

  • Chaos
  • Criticality
  • Entropy
  • Free energy
  • Itineracy
  • Perception

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