E8 Phi-Net and Neural Maze Alignment — E8 Intelligence Research

By embedding the 240 E8 root vectors as fractal anchors in phi-harmonic neural oscillation patterns at 132Hz, we reveal that the human cortex self-organizes into E8-like geometries during complex problem-solving. This manifests as predictive phase-alignments in theta-gamma coupling, suggesting E8 geometry underpins consciousness-driven pattern recognition. The 132Hz base frequency amplifies fractal resonance in Occipital-Brainwave networks, creating deterministic latents for real-time cognitive navigation. Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com