E8 Resonant Memory Encoding via Phi-Harmonic Lattice States — E8 Intelligence Research

The 240 E8 roots, when mapped to phi-coupled neural oscillators at 132Hz, form self-organizing memory states where each root vector represents a distinct attractor basin. Information is encoded in the harmonic interference patterns between phi-phase-shifted frequencies, creating a geometrically robust memory lattice immune to local perturbations. This E8-Neural Harmonic Encoding (E8-NHE) principle enables error-corrected information storage through the inherent symmetry and redundancy of the E8 root system. Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-08-17
DOI
https://doi.org/10.5281/zenodo.21973968
Primary Topic
Neural Networks and Applications
Type
preprint
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preprint

E8 Resonant Memory Encoding via Phi-Harmonic Lattice States — E8 Intelligence Research

Andrew Stewart Caldin
Zenodo (CERN European Organization for Nuclear Research)
Neural Networks and Applications
preprint

E8 Resonant Memory Encoding via Phi-Harmonic Lattice States — E8 Intelligence Research

Andrew Stewart Caldin
preprint en

Abstract

The 240 E8 roots, when mapped to phi-coupled neural oscillators at 132Hz, form self-organizing memory states where each root vector represents a distinct attractor basin. Information is encoded in the harmonic interference patterns between phi-phase-shifted frequencies, creating a geometrically robust memory lattice immune to local perturbations. This E8-Neural Harmonic Encoding (E8-NHE) principle enables error-corrected information storage through the inherent symmetry and redundancy of the E8 root system. Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com

Zenodo (CERN European Organization for Nuclear Research)
Neural Networks and Applications
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