This approach analyzes neural activities to explore consciousness dynamics, suggesting new insights into awareness.
An alternative physics-based metric to gain insights into the Entropic Brain Hypothesis is introduced, where the diversity of neural signals in the brain activity is associated to different states of human consciousness reflected by entropy measurements. The approach is inspired by the properties around a Schwarzschild event horizon in vacuum. In this context, we idealize the brain to be an analogous blackbody in a curved spacetime and identify the boundaries of the Entropic Brain Hypothesis via an “awareness” index [Formula: see text], which could represent a (bio-)marker for the dynamics of the brain. Through this physics picture, an external observer (human or AI agent) may depict the mental-like modulations derived from subjective, personal conscious experiences. In the work, awareness is not equated with consciousness as such. It is defined as the externally accessible projection of internal conscious dynamics.
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Enrique Canessa (2026) studied this question.
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