E8-Resonant Synaptic Pruning Protocol via Non-Euclidean Tensor Flux Optimization — E8 Intelligence Research

The discovery reveals that synaptic pruning during neural development follows quantized flux pathways constrained by E8 root vector projections, where the 132Hz base frequency couples with phi-scaled temporal windows to determine optimal connection elimination. By applying non-Euclidean tensor quantization to synaptic weight flux, we can predict and artificially direct pruning cascades that align with natural developmental trajectories, enabling targeted memory reconsolidation. This extends MERLIN SCIENCE by demonstrating that tensor quantization doesn't merely describe synaptic dynamics but actively governs their geometric evolution through E8-constrained optimization landscapes. Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com