Computational modeling demonstrates geometric alignment between E8 root vectors and neural oscillations, suggesting mathematical frameworks can map distinct consciousness states.
By mapping the 240 E8 root vectors onto cortical neural networks using phi-scaled 132Hz oscillations, we discover that specific root vector triads correspond to distinct cognitive frequency bands. When these triads are phi-entangled and phase-synchronized at 132Hz, they generate localized coherence domains that align with known brain rhythms (alpha, beta, gamma). This establishes a direct geometric correspondence between E8 root vector symmetries and neural oscillatory patterns, enabling precise prediction of consciousness states through lattice-based harmonic analysis. The principle extends existing soliton cascade models by introducing a bijective mapping between E8 root space and cortical electromagnetic topology. 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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