This work reveals specific dissociations in neural activity during extreme neurodynamic states, suggesting implications for consciousness research.
This work presents Noetic Diffusion Theory (NDT) as a dynamical framework for analyzing neural activity across extreme neurodynamic regimes, including anesthesia, sleep, psychedelics, epilepsy, psychosis, and neurodegeneration. Neural time series are embedded in a Meta–Noetic Phase Space (MNPS), extended via stratification and second-order flow analysis using the Meta–Noetic Jacobian (MNJ). Applying a unified pipeline to multiple EEG and fMRI datasets, the study reveals regime-specific dissociations and principled null results, highlighting both the utility and limits of dynamical state-space approaches to consciousness research.
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Robin Langell (2026) studied this question.
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