TLMM v4.8: Unified Public EEG Contact Framework for Exploratory Digital Twin Inference

This repository presents TLMM v4. 8, a unified exploratory framework connecting public resting-state EEG data to adaptive digital twin inference through envelope-based fluctuation analysis, feasibility-oriented sensitivity mapping, uncertainty-aware inference, and streaming adaptive updates. The framework integrates: 1. Public EEG envelope extraction2. Fokker–Planck landscape estimation3. Resilience-oriented inference4. Sensitivity landscape mapping5. Subject-specific digital twin construction6. Streaming adaptive update dynamics7. Limitation and constraint characterization8. Roadmap and progress tracking9. Computational feasibility analysis A central contribution of this work is the introduction of a quantitative “proof-of-contact” framework evaluating statistical comparability between simulation-generated envelope dynamics and public EEG-derived envelopes using: - KL divergence- Jensen–Shannon divergence- Earth Mover’s Distance- Spearman correlation- Dynamic Time Warping (DTW) The framework further introduces: - exploratory feasible inference landscapes in (α, τₙ) parameter space, - adaptive forgetting dynamics, - subject-specific digital twin examples, - systematic limitation mapping, - and scalability characterization under streaming adaptive inference. Computational analyses show near-linear runtime scaling (approximately O (T⁰. 95) ) and sub-linear memory scaling (approximately O (T⁰. 85) ) across long recording durations using a streaming implementation. Importantly, this work does NOT claim: - clinical validity, - physiological equivalence, - diagnosis, - prognosis, - or therapeutic utility. All analyses, figures, and metrics are exploratory and intended solely for methodological feasibility investigation and transparent uncertainty-aware computational research. Repository contents include: - Full PDF manuscript- Figures (Fig. 1–Fig. 9) - README- Exploratory computational demo script Data sources: - OpenNEURO- PhysioNet License: Research and exploratory use only.