About
This program explores how EEG brain activity can be analyzed through the lens of criticality—the idea that neural systems may operate near a balance point between order and disorder. Participants will learn key computational metrics used to detect critical dynamics in EEG signals, including power-law behavior, neuronal avalanches, long-range temporal correlations, scaling exponents, and signal complexity measures. The program combines theoretical background with practical analysis tools for studying brain dynamics, cognition, and altered states of neural processing.