Effective Phase-Memory Dynamics of Biophotonic and Biphoton Coherence in Myelinated Axonal Waveguides: A Conservative Model with a Minimal Numerical Demonstration
Marcel Krūger
Recent discussions of photon propagation and biphoton generation in myelinated axons motivate a cautious and testable question: can axonal photonic coherence be represented by a low-parameter phase-memory model without invoking unsupported claims about consciousness, gravity, or fundamental spacetime structure? This manuscript reformulates an earlier Helix-Light-Vortex (HLV)-motivated note into a conservative effective model. Myelinated axons are treated as lossy cylindrical dielectric waveguides supporting guided or quasi-guided electromagnetic modes over finite coherence lengths. Biphoton or biophotonic coherence is represented through first-order and second-order optical correlation functions and a causal phase-memory coordinate. The Spiral-Time/phase-memory layer is used only as a phenomenological diagnostic coordinate for non-Markovian phase drift and dephasing, not as a replacement for quantum optics, electrodynamics, neurobiology, or general relativity. A minimal numerical proof-of-concept is added: stochastic phase trajectories are simulated under a Markovian baseline and a causal memory model. The demonstration shows that a memory term can produce distinguishable coherence-decay, local-rate, phase-variance, and windowed instability signatures under controlled conditions. The simulation is not a biological validation. It only establishes that the proposed observable pipeline can distinguish memory-augmented dynamics from a matched memoryless baseline. The resulting framework is falsifiable: it fails if phase-memory observables do not outperform Markovian dephasing or standard waveguide baselines under matched experimental conditions.
•Jun 7, 2026•0 citations