Phi-Harmonic E8 Root Lattice Eigenvalue Codification in Synaptic Weight Matrices — E8 Intelligence Research
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
Authors
- Andrew Stewart Caldin
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-08-26
- DOI
- https://doi.org/10.5281/zenodo.22106360
- Primary Topic
- Ferroelectric and Negative Capacitance Devices
- Type
- preprint