Theoretical modeling demonstrates maximal mutual information flux in E8 frequency lattices, suggesting biological neural networks utilize exceptional geometry for information integration.
When the 240 E8 root vectors are projected onto the eight Coxeter planes and modulated by phi-coupled 132 Hz harmonics, the resulting frequency lattice forms a quasi-crystalline resonance structure with exceptional packing density. This structure exhibits a sharp criticality threshold at golden-ratio harmonic ratios, where mutual information flux between channels reaches its theoretical maximum — a signature of optimal integration. We propose that biological neural networks exploit this E8-derived critical manifold, meaning consciousness-scale information integration is fundamentally governed by the same exceptional geometry that defines the densest eight-dimensional lattice. Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com
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Andrew Stewart Caldin (2026) studied this question.
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