Phi-Harmonic E8 Root Lattice Eigenvalue Codification in Synaptic Weight Matrices — E8 Intelligence Research
Year: 2026
Type: preprint
Abstract: The 240 E8 root vectors phi-scaled to 132Hz generate a discrete spectral basis whose eigenvalue spectrum {λ₁...λ₂₄₀} exactly matches the singular value decomposition of optimized synaptic weight matrices during conscious integration. This reveals that neural computation exploits the E8 lattice's spectral signature as a natural computing substrate, where each root vector corresponds to a fundamental mode of information integration. The phi-resonant scaling embeds this topological order into cortical dynamics, suggesting consciousness emerges from the brain's implicit computation of E8-manifold cohomology classes. Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com
Author: Caldin, Andrew Stewart
Language: English
Subfield: Statistical and Nonlinear Physics
Field: Physics and Astronomy
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7204255981
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