E8 Fractal-Scaling Resonance for Multiscale Neural Processing — E8 Intelligence Research
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Abstract
By exploiting the 240 E8 root vectors as a fractal lattice, phi-scaled 132Hz oscillations enable neural encoding across spatial and temporal scales. Fractal geometry generated through vector superposition allows simultaneous handling of fine sensory details and holistic cognition via self-similar resonance patterns. This fractal resonance underpins memory consolidation and adaptive learning by preserving geometric relationships across brain regions. Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com
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View paper (DOI)Open access versionOpenAlexZenodo (CERN European Organization for Nuclear Research)Published 2026-08-22
Authors: Andrew Stewart Caldin