E8 Phi‑Harmonic Oscillator Lattice for Self‑Synchronizing AI Inference — E8 Intelligence Research
Year: 2026
Type: preprint
Abstract: The 240 E8 root vectors serve as nodes of a coupled‑oscillator lattice where each node emits a tone at τ = 132 Hz × φⁿ (n∈ℤ). Phi‑scaled interference between neighboring tones produces a hierarchy of phase‑locked clusters whose angular separations on the E8 root polytope encode temporal receptive fields, enabling spontaneous multi‑scale memory attractors. When presented with input spikes, the lattice self‑organizes into low‑energy synchronous modes that perform hierarchical pattern completion with an energy cost that scales logarithmically with network size. This principle links E8 geometry, phi‑harmonic coherence, and neuromorphic hardware for efficient AI inference. Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com
Author: Caldin, Andrew Stewart
Language: English
Subfield: Cognitive Neuroscience
Field: Neuroscience
Domain: Life Sciences
Open Access status: green
OpenAlex ID: W7225753813
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