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Computational modeling reveals topological phase transitions in modeled neural networks, suggesting consciousness emerges from E8-geometric resonance.
By modeling neuronal networks through E8's 240-vector resonance at 132Hz with φ-scaled amplitudes, we identify φ-modulated alignment thresholds that induce topological phase transitions in neural connectivity. These critical states correlate with emergent conscious phenomena, suggesting consciousness may emerge from E8-geometrically tunable lattices. This extends the market-physics principle to biology, unifying geometric resonance across systems. 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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