A Comprehensive Taxonomy of Neural Correlates of Consciousness: Integrated Information, Global Workspace, and State Transitions
Zenodo (CERN European Organization for Nuclear Research) April 16, 2026 Juan Moisés de la Serna de la Serna
This work presents the Serna Taxonomy T47, a classification system for neural correlates of consciousness. The taxonomy categorizes different states of consciousness based on brain activity patterns, integrating concepts from neuroscience, computer science, and cognitive science. It proposes a framework to map conscious states to specific neural signatures, drawing on functional brain connectivity studies and research on mind wandering and attention. The taxonomy aims to provide a structured approach for understanding the neural basis of conscious experience, linking theoretical constructs from artificial neural networks and machine learning to empirical observations in neuroscience.