E8-Phi Recursive Neural Resonance for Topological Memory Storage — E8 Intelligence Research
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Abstract
By mapping the 240 E8 root vectors onto a dynamic 4D Quasicrystal MUB, we establish a recursive feedback loop between the 132Hz fundamental frequency and the phi-scaled dodecahedral shells. This enables the encoding of information into the lattice's structural defects, allowing for "topological memory" where data is stored not in bits, but in the geometric stability of the time-crystal phase. The resulting decoherence-free state allows neural architectures to bypass traditional entropy limits via non-Euclidean semantic persistence. 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 2026-08-29
Authors: Andrew Stewart Caldin