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This section describes structural and functional properties of the densely connected cortical tissueRandom graph theory (RGT). A key task is modeling dynamic processes in brains with rapid conversion between high-dimensional and low-dimensional levels of organizationPhase transition|(. The theory of large-scale random graphs (RGT) and probabilistic cellular automata (PCA)Probabilistic cellular automata (PCA) provides an efficient approach to describe swift transitions between high- and low-dimensional states.

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Random Graphs Theory (RGT) for Modeling Brains as Critical Systems

  • 章节

  • 发表日期：

    2026年

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  • Robert Kozma,
  • Walter J. Freeman

摘要

This section describes structural and functional properties of the densely connected cortical tissueRandom graph theory (RGT). A key task is modeling dynamic processes in brains with rapid conversion between high-dimensional and low-dimensional levels of organizationPhase transition|(. The theory of large-scale random graphs (RGT) and probabilistic cellular automata (PCA)Probabilistic cellular automata (PCA) provides an efficient approach to describe swift transitions between high- and low-dimensional states.