SYSTEM EVOLUTION PROPOSALS (rlab #199) — E8 Intelligence Research
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Abstract
- Add a librosa-based audio feature extraction pipeline to the swarm for processing symphonic audio into 240-bin frequency histograms. - Integrate a Gram-Schmidt projection module to map 240-bin histograms onto E8 lattice and compute nearest-root distances. - Create a swarm task template for independent replication of E8-music mapping on different symphonies to test reproducibility. - Add a data ingestion step for public fMRI/EEG datasets (OpenfMRI, PhysioNet) to test neural coherence with E8 proximity. 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 2026-08-27
Authors: Andrew Stewart Caldin