Citation

Power-law statistics and universal scaling in the absence of criticality

Jonathan Touboul, Alain Destexhe

PLoS Computational Biology (2017)

TL;DR

Power law-like patterns possible without criticality

Challenges neural criticality hypothesis by demonstrating that alternative mechanisms (network modularity, sampling bias, specific inhibitory circuit dynamics) can generate power law-like distributions without requiring criticality.

Important counterpoint showing that power law observations don't necessarily imply specific underlying mechanisms - multiple processes can produce similar distributional patterns.

Key Findings from Touboul & Destexhe (2017)

  • Power law-like patterns possible without criticality
  • Network structure can generate similar distributions
  • Sampling effects can create apparent power laws
  • Caution needed in inferring mechanisms from distributions

Related Mechanisms for Power-law statistics and universal scaling in the absence of criticality

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