L. de Arcangelis

The paper applies maximum entropy modeling to integrate-and-fire neuronal networks to study criticality and finite-size effects in spontaneous activity.

This study shows alpha oscillations in the awake resting-state modulate neural activity through alternating inhibition and excitation bouts, with long-term waxing and waning dynamics not observed during NREM sleep.

The paper analyzes a 2D stochastic Wilson Cowan model and finds different critical exponents compared to mean field models.

The paper analyzes the stochastic Wilson-Cowan model to show it exhibits critical behavior with scale-free avalanche dynamics and diverging relaxation times.

The paper analyzes broadband resting-state brain activity using neuronal avalanches to reveal long-range power-law correlations in EEG and MEG recordings.