Self-organized criticality as a fundamental property of neural systems

Janina Hesse, Thilo Gross

Research output: Contribution to journalArticle (Academic Journal)peer-review

279 Citations (Scopus)
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The neural criticality hypothesis states that the brain may be poised in a critical state at a boundary between different types of dynamics. Theoretical and experimental studies show that critical systems often exhibit optimal computational properties, suggesting the possibility that criticality has been evolutionarily selected as a useful trait for our nervous system. Evidence for criticality has been found in cell cultures, brain slices, and anesthetized animals. Yet, inconsistent results were reported for recordings in awake animals and humans, and current results point to open questions about the exact nature and mechanism of criticality, as well as its functional role. Therefore, the criticality hypothesis has remained a controversial proposition. Here, we provide an account of the mathematical and physical foundations of criticality. In the light of this conceptual framework, we then review and discuss recent experimental studies with the aim of identifying important next steps to be taken and connections to other fields that should be explored.
Original languageEnglish
Article number166
Number of pages14
JournalFrontiers in Systems Neuroscience
Publication statusPublished - 23 Sept 2014

Structured keywords

  • Engineering Mathematics Research Group


  • self-organized criticality
  • brain
  • phase transition
  • dynamics
  • neural network


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