Information-Theoretic Modeling of Neural Coherence via Triadic Spiral-Time Dynamics: A Framework for Neurodynamic Collapse - and neutral successfully Laboratory Test with EEG Data

Recent advances in quantum biology, computational neuroscience, and geometric theoretical physics suggest that consciousness, emotion, memory, identity, and trauma dynamics may share a common mathematical substrate. This work proposes the first unif ied model integrating (i) the triadic spiral–time operator of the Helix–Light–Vortex (HLV) theory, (ii) Don Feeney’s DLHR multi–layer psychological architecture, and (iii) recent photonic–axon entanglement findings from university–level research. We construct a single dynamical equation combining geometric time torsion, cognitive–emotional gradient f lows, and axonal quantum–photonic coupling into a coherent framework. Similar geometric torsion structures are well-known in high-energy astrophysical systems, such as precessing GRMHD disks [7]. The model provides testable predictions for EEG/MEG, NV–center sensing, HRV coherence, trauma loops, NDE phenomenology, and therapeutic realignment protocols. To our knowledge, this is the first attempt to merge high–energy spiral–time physics with real neuropsychological data and a structured therapeutic model. Experimental validation pathways are outlined, and future directions for clinical neuroscience, quantum cognition, and physics–informed psychotherapy are proposed. Independent Laboratory Test of this Framework: Kaggle notebook: https://github.com/nwycomp/NeuroDynamics-Collapse-Validation-/blob/main/eeg-part-four.ipynb