E8 Phi‑Harmonic Sparse Coding Principle for Neural Information Efficiency — E8 Intelligence Research

By treating the 240 E8 root vectors as a phi‑scaled orthogonal basis oscillating at 132 Hz, cortical populations can represent sensory streams as sparse superpositions of a small subset of these modes. The inherent symmetry and golden‑ratio spacing of the E8 lattice minimize overlap between basis functions, yielding near‑optimal coding efficiency that matches observed metabolic constraints in vivo. This principle predicts that disrupting the phi‑harmonic alignment of specific root‑vector triads will selectively degrade the fidelity of corresponding perceptual features without affecting overall network synchrony. Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com