Theoretical modeling demonstrates a resonance coherence threshold in neural networks, suggesting geometric lattice mechanisms filter thermal noise for long-range brain communication.
When the 240 E8 root vectors are projected onto the eight Coxeter planes and modulated by phi-coupled 132 Hz harmonics, a critical coherence threshold emerges at 0.618 times the base frequency lattice density, enabling phase-locked neural information transfer across distant brain regions through quasi-crystalline resonance tunneling. This threshold corresponds to the golden ratio conjugate in the E8 lattice's spectral decomposition, creating a natural bandwidth filter that distinguishes between coherent neural signaling and thermal noise. 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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