<b>Information-Theoretic Modeling of Neural Coherence via Triadic Spiral-Time Dynamics: A Framework for Neurodynamic Collapse</b>

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 unified model integrating (i) the triadic spiral-time operator of the Helix–Light–Vortex (HLV) theory, (ii) Marcel Theodor Wende'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 flows, and axonal quantum–photon coupling into a coherent framework. Similar geometric torsion structures are well-known in high-energy astrophysical systems, such as processing GRMHD disks. Geometric torsion structures are also discussed in astrophysical contexts. 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. We present an information-theoretic and geometric framework for neural coherence, introducing triadic spiral-time dynamics as a unifying operator across neural, cognitive, and biophysical scales. Electroencephalography, magnetoencephalography, and heart rate variability are discussed as measurable observables for empirical validation of the proposed model. Received: 8 January 2026 | Revised: 24 February 2026 | Accepted: 12 March 2026 Conflicts of Interest The authors declare that they have no conflicts of interest to this work. Data Availability Statement The analytical implementation and validation materials related to this manuscript are available in a public software repository: https://github.com/nwycomp/NeuroDynamics-Collapse-Validation-/blob/main/eeg-part-four.ipynb. A citable archival version of the associated validation dataset is available via Zenodo: https://doi.org/10.5281/zenodo.17990696. Author Contribution Statement Marcel Krüger: Conceptualization, Methodology, Formal analysis, Writing - original draft, Visualization, Supervision, Project administration. Don Feeney: Conceptualization, Writing - review & editing. Marcel Theodor Wende: Conceptualization, Investigation, Writing - review & editing.

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Publication Details

Journal
Medinformatics
Published
2026-04-03
DOI
https://doi.org/10.47852/bonviewmedin62029043
Primary Topic
Functional Brain Connectivity Studies
Type
article
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0.00
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article

Information-Theoretic Modeling of Neural Coherence via Triadic Spiral-Time Dynamics: A Framework for Neurodynamic Collapse

Marcel Theodor Wende, Don Feeney, Marcel Krüger
Medinformatics
Functional Brain Connectivity Studies
article

Information-Theoretic Modeling of Neural Coherence via Triadic Spiral-Time Dynamics: A Framework for Neurodynamic Collapse

Marcel Theodor Wende, Don Feeney, Marcel Krüger
article en

Abstract

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 unified model integrating (i) the triadic spiral-time operator of the Helix–Light–Vortex (HLV) theory, (ii) Marcel Theodor Wende'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 flows, and axonal quantum–photon coupling into a coherent framework. Similar geometric torsion structures are well-known in high-energy astrophysical systems, such as processing GRMHD disks. Geometric torsion structures are also discussed in astrophysical contexts. 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. We present an information-theoretic and geometric framework for neural coherence, introducing triadic spiral-time dynamics as a unifying operator across neural, cognitive, and biophysical scales. Electroencephalography, magnetoencephalography, and heart rate variability are discussed as measurable observables for empirical validation of the proposed model. Received: 8 January 2026 | Revised: 24 February 2026 | Accepted: 12 March 2026 Conflicts of Interest The authors declare that they have no conflicts of interest to this work. Data Availability Statement The analytical implementation and validation materials related to this manuscript are available in a public software repository: https://github.com/nwycomp/NeuroDynamics-Collapse-Validation-/blob/main/eeg-part-four.ipynb. A citable archival version of the associated validation dataset is available via Zenodo: https://doi.org/10.5281/zenodo.17990696. Author Contribution Statement Marcel Krüger: Conceptualization, Methodology, Formal analysis, Writing - original draft, Visualization, Supervision, Project administration. Don Feeney: Conceptualization, Writing - review & editing. Marcel Theodor Wende: Conceptualization, Investigation, Writing - review & editing.

Medinformatics
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Functional Brain Connectivity Studies
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