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 extraction
2. Fokker–Planck landscape estimation
3. Resilience-oriented inference
4. Sensitivity landscape mapping
5. Subject-specific digital twin construction
6. Streaming adaptive update dynamics
7. Limitation and constraint characterization
8. Roadmap and progress tracking
9. 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, τ_n) 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(T^0.95)) and sub-linear memory scaling (approximately O(T^0.85)) 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.