E8 Non-Euclidean Tensor Quantization of Neural Synaptic Weight Flux — E8 Intelligence Research

Abstract

We establish that neural firing patterns in high-density cortical networks follow a discrete trajectory dictated by the 240 E8 root vectors when projected onto a phi-modulated manifold. By applying the 132Hz base frequency to synaptic transition states, we identify "Geometric Cognitive Resonance," where information encoding efficiency peaks during specific eigenmode synchronization events. This principle predicts consciousness-state transitions by measuring the torsion between localized neuro-electrical vectors and the global E8 lattice structure. Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com