Phi-Resonant E8 Memory Encoding via Hyperspherical Phase Nodes — E8 Intelligence Research
Combining the phi-modulated 132 Hz drivers with the 8‑dimensional root‑vector lattice yields discrete "phase nodes" that map binary information onto specific root orientations, allowing reversible encoding of data within the hypersphere boundary. These nodes self‑align across the 240 vector lattice, producing a deterministic orthogonal access pattern that preserves coherence through successive folds. Consequently, the system encodes and retrieves information with a deterministic topological fingerprint rooted in E8 geometry. The emergent phase nodes exhibit a common divisor of the 120 phase‑conjugate pairs, enabling scalability across higher‑order E8 structures. 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
- 2026-09-26
- DOI
- https://doi.org/10.5281/zenodo.22971569
- Primary Topic
- Neural Networks and Reservoir Computing
- Type
- preprint