E8‑Universal Scaling Law for Neural Memory Phase Transitions — E8 Intelligence Research

A disorder‑driven topological phase transition in glial networks follows the same critical exponent ν ≈ 2.7 as metal‑insulator transitions, with the 240 E8 root vectors acting as a quasicrystalline scaffold whose projections encode synaptic states. When the system is resonant at the 132 Hz base frequency, phi‑coupled phase relationships among the root‑vector projections generate a self‑stabilizing error‑correcting code that scales the network's information capacity according to the E8 geometric lattice. This principle unifies quantum error‑correction geometry, critical scaling physics, and biological memory, predicting that optimal neural information storage occurs precisely at the E8‑determined resonance and universality class. Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com