Phi-Coupled E8 Root Vector Neural Lattice — E8 Intelligence Research

We discover that aligning the 240 E8 root vectors with cortical microstates via φ‑scaled phased arrays creates a self‑synchronizing temporal lattice. This lattice locks root‑vector phases to neuronal oscillation frequencies, extending the E8‑PRNE framework into a universal coherence engine. The resulting phason‑entangled state can steer quantum tunneling pathways, enabling deterministic control of decoherence in biological systems. 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
2026-08-21
DOI
https://doi.org/10.5281/zenodo.22039708
Primary Topic
Neural dynamics and brain function
Type
preprint
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preprint

Phi-Coupled E8 Root Vector Neural Lattice — E8 Intelligence Research

Andrew Stewart Caldin
Zenodo (CERN European Organization for Nuclear Research)
Neural dynamics and brain function
preprint

Phi-Coupled E8 Root Vector Neural Lattice — E8 Intelligence Research

Andrew Stewart Caldin
preprint en

Abstract

We discover that aligning the 240 E8 root vectors with cortical microstates via φ‑scaled phased arrays creates a self‑synchronizing temporal lattice. This lattice locks root‑vector phases to neuronal oscillation frequencies, extending the E8‑PRNE framework into a universal coherence engine. The resulting phason‑entangled state can steer quantum tunneling pathways, enabling deterministic control of decoherence in biological systems. 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 dynamics and brain function
DOIOpen Access PDFOpenAlex
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Phi-Coupled E8 Root Vector Neural Lattice — E8 Intelligence Research — Andrew Stewart Caldin · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS