Allometric scaling of brain activity explained by avalanche criticality

Fuente: arXiv
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Main Authors: Simões, Tiago S. A. N., Andrade Jr., José S., Herrmann, Hans J., Zapperi, Stefano, de Arcangelis, Lucilla
Format: Preprint
Published: 2025
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author Simões, Tiago S. A. N.
Andrade Jr., José S.
Herrmann, Hans J.
Zapperi, Stefano
de Arcangelis, Lucilla
author_facet Simões, Tiago S. A. N.
Andrade Jr., José S.
Herrmann, Hans J.
Zapperi, Stefano
de Arcangelis, Lucilla
contents Allometric scaling laws, such as Kleiber's law for metabolic rate, highlight how efficiency emerges with size across living systems. The brain, with its characteristic sublinear scaling of activity, has long posed a puzzle: why do larger brains operate with disproportionately lower firing rates? Here we show that this economy of scale is a universal outcome of avalanche dynamics. We derive analytical scaling laws directly from avalanche statistics, establishing that any system governed by critical avalanches must exhibit sublinear activity-size relations. This theoretical prediction is then verified in integrate-and-fire neuronal networks at criticality and in classical self-organized criticality models, demonstrating that the effect is not model-specific but generic. The predicted exponents align with experimental observations across mammal species, bridging dynamical criticality with the allometry of brain metabolism. Our results reveal avalanche criticality as a fundamental mechanism underlying Kleiber-like scaling in the brain.
format Preprint
id arxiv_https___arxiv_org_abs_2512_10834
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Allometric scaling of brain activity explained by avalanche criticality
Simões, Tiago S. A. N.
Andrade Jr., José S.
Herrmann, Hans J.
Zapperi, Stefano
de Arcangelis, Lucilla
Neurons and Cognition
Allometric scaling laws, such as Kleiber's law for metabolic rate, highlight how efficiency emerges with size across living systems. The brain, with its characteristic sublinear scaling of activity, has long posed a puzzle: why do larger brains operate with disproportionately lower firing rates? Here we show that this economy of scale is a universal outcome of avalanche dynamics. We derive analytical scaling laws directly from avalanche statistics, establishing that any system governed by critical avalanches must exhibit sublinear activity-size relations. This theoretical prediction is then verified in integrate-and-fire neuronal networks at criticality and in classical self-organized criticality models, demonstrating that the effect is not model-specific but generic. The predicted exponents align with experimental observations across mammal species, bridging dynamical criticality with the allometry of brain metabolism. Our results reveal avalanche criticality as a fundamental mechanism underlying Kleiber-like scaling in the brain.
title Allometric scaling of brain activity explained by avalanche criticality
topic Neurons and Cognition
url https://arxiv.org/abs/2512.10834