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Explore a groundbreaking approach to modeling brain dynamics and consciousness in this 23-minute conference talk from the Models of Consciousness Conferences. Delve into the concept of informational structures (IS) as a dynamic landscape shaping brain activity, moving beyond traditional stationary system models. Discover how IS relates to Integrated Information Theory (IIT) postulates and provides measures linked to key aspects of conscious activity such as metastability, information integration, and synchronization. Examine the application of IS measures in distinguishing between healthy controls and patients with disorders of consciousness, including minimally conscious state (MCS) and unresponsive wakefulness syndrome (UWS). Learn about the impressive precision of machine learning classifiers in identifying states of consciousness based on IS measures, achieving up to 95.6% accuracy for healthy controls vs. disorders of consciousness and 86.6% for MCS vs. UWS.
