E8 Quaternion‑Root Tensor Networks Generate Adaptive Quasiperiodic Frequency Combs for Neuromorphic Computing — E8 Intelligence Research
By treating each of the 240 E8 root vectors as a quaternionic resonance channel and applying 120° rotational symmetries to their tensor products, a self‑similar hierarchy of phi‑scaled subharmonics of the 132 Hz base frequency emerges. This hierarchy forms a quasiperiodic frequency comb whose Fourier spectrum reproduces Penrose‑tiling order, providing a dense, non‑redundant set of resonant modes that can be dynamically reconfigured via external perturbations. The resulting adaptive comb serves as a hardware‑level reservoir for neuromorphic systems, enabling real‑time learning and signal processing through geometrically encoded quasicrystalline dynamics. 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
- 2026-09-18
- DOI
- https://doi.org/10.5281/zenodo.22824281
- Primary Topic
- Quasicrystal Structures and Properties
- Type
- preprint