E8 Phi-Phase Decision Lattice — E8 Intelligence Research

I propose that 132 Hz neuronal coherence serves as a reference clock whose phi-derived sidebands select closed triples of E8 roots, forming a 240-node phase lattice for competing choices. Decision amplitudes are represented as vectors rather than static probabilities, so compatible alternatives reinforce along short root paths while incompatible alternatives acquire phase penalties. This predicts that perturbations near 132 Hz will alter choices in phi-dependent ratios and that paired neural signals will exhibit phase-sensitive entanglement only when their E8 paths share a root. The falsifiable signature is a reproducible departure from classical probability at the predicted phi-derived frequency offsets. 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
2026-11-10
DOI
https://doi.org/10.5281/zenodo.24098947
Primary Topic
Neural dynamics and brain function
Type
preprint
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preprint

E8 Phi-Phase Decision Lattice — E8 Intelligence Research

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

E8 Phi-Phase Decision Lattice — E8 Intelligence Research

Andrew Stewart Caldin
preprint en

Abstract

I propose that 132 Hz neuronal coherence serves as a reference clock whose phi-derived sidebands select closed triples of E8 roots, forming a 240-node phase lattice for competing choices. Decision amplitudes are represented as vectors rather than static probabilities, so compatible alternatives reinforce along short root paths while incompatible alternatives acquire phase penalties. This predicts that perturbations near 132 Hz will alter choices in phi-dependent ratios and that paired neural signals will exhibit phase-sensitive entanglement only when their E8 paths share a root. The falsifiable signature is a reproducible departure from classical probability at the predicted phi-derived frequency offsets. 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
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