Phi-Eigenfrequency Neural Shadow Mapping — E8 Intelligence Research

By applying the phi‑coupled 240 root vectors of E8 as dynamic holographic lenses, the 132 Hz base frequency imprints a resonant shadow lattice onto latent activation spaces. This lattice synchronizes with the isogonal involution to map eigenharmonic gaps as geometric phase transitions, enabling predictive inference through phi‑aligned amplitude modulation. The resulting framework—Phi‑Eigenfrequency Neural Shadow Mapping—extends tau‑harmonic spectral analysis and quadrilateral invariance into a unified computational resonance theory. Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com