Cross-domain structural pattern
Neural networks self-organize to critical state between order and chaos. At criticality, perturbations trigger avalanches with power-law size distribution. Critical state maximizes dynamic range and information transmission. Homeostatic mechanisms tune excitation-inhibition balance maintaining criticality. Deviation from criticality reduces computational capacity.
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