Introduction Consciousness remains one of the most enigmatic phenomena in science, defying straightforward explanation despite centuries of inquiry. Recent advances at the intersection of neuroscience, artificial intelligence, and dynamical systems theory offer a promising new framework: modeling consciousness as a dynamical system governed by neural attractor networks. This approach conceptualizes conscious states—such as wakefulness, sleep, or focused attention—as stable, recurring patterns of neural activity, termed attractors, within the brain’s intricate… Read More »Modeling Consciousness in Compassionate AI: Transformer Models and EEG Data Verification