Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Watch a 22-minute conference talk from the Models of Consciousness Conferences exploring how emergent patterns of brain activity arise through dynamic interactions among subcomponents. Learn about Dynamical Independence (DI), an information-theoretic measure used to quantify emergent macroscopic dynamics in the brain. Examine findings from high-density EEG recordings comparing wakefulness, sleep and different types of anesthesia. Understand how propofol and xenon conditions demonstrate higher degrees of emergence compared to wakefulness, while ketamine shows lower emergence levels. Discover how dynamical structure emerges during wake states and ketamine-induced anesthesia across high-order scales where conscious awareness remains. Gain insights into a novel methodology for analyzing emergent dynamical structures in different states of consciousness using EEG data, including sleep-wake transitions.