arXiv · 2312.03219
Multifractality in critical neural field dynamics
Abstract
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.
Explore related subjects
Keep this discovery
Merlin Dumeur, Sheng H. Wang, J. Matias Palva, Philippe Ciuciu. 2023-12-06. Multifractality in critical neural field dynamics. https://arxiv.org/abs/2312.03219
Cite the original work for its findings. Save a collection to share your selection of sources.