The brain criticality hypothesis has largely only characterized brain dynamics in terms of their self-similarity, although experimental evidence suggests that the brain exhibits significant multifractality. To understand how multifractality may emerge in critical-like systems modeling neuronal activity, we used a neural field model exhibiting neural oscillations and a critical phase transition. We find that multifractality emerges near a synchronization phase transition, and that the pattern of variation of multifractality changes when placing the model at a different phase transition. These findings show that multifractality in temporal dynamics emerges near criticality in neural fields, providing a formal basis for interpreting multifractality in brain recordings.
Cite
@article{arxiv.2312.03219,
title = {Multifractality in critical neural field dynamics},
author = {Merlin Dumeur and Sheng H. Wang and J. Matias Palva and Philippe Ciuciu},
journal= {arXiv preprint arXiv:2312.03219},
year = {2026}
}