  The brain criticality framework has largely considered brain dynamics to be
monofractal even though experimental evidence suggests that the brain exhibits
significant multifractality. To understand how multifractality may emerge in
critical-like systems, we use a computational model for critical neural
oscillations. We find that multifractality emerges near a synchronization phase
transition. These findings show multifractality in temporal dynamics peaks at
criticality in neural fields, providing a generative model for interpreting
multifractality in brain recordings.
