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Demonstrates the transfer of regulatory dynamics across different domains, suggesting broad applicability.
ResonoTime4D describes regulatory dynamics as a trajectory on the manifold of symmetric positive covariance matrices and introduces a minimal state vector (B, Hϕ, Cctrl), as well as the Regulatory Mobility Index M and the gamma coupling. Under a strictly “frozen” transfer protocol, it is shown that a three-regime taxonomy (Elastic, Intermediate, Rigidity Trap) can be robustly transferred from neuromotor PADS data to sleep (SHHS) and stress (WESAD).
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Kevin Junginger (2026) studied this question.
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