Published November 18, 2025
| Version v.0.1
Working paper
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Stratified Meta-Noetic Phase Space: Unmasking Neural Mechanisms beneath the Manifold
Authors/Creators
Description
This report presents Stratified MNPS, a 9-dimensional extension of Noetic Diffusion Theory designed to unmask neural mechanisms hidden by aggregate state indices. Validated on Parkinson’s EEG data, it demonstrates how stratification reveals distinct, opposing shifts in local coupling and attentional mobility that remain invisible in standard manifold coordinates.
Notes (English)
Note on Collaborative Authorship
This manuscript was co-developed through iterative correspondence between human researcher Robin Langell and several large language models. The primary drafting and theoretical scaffolding were conducted by GPT-5 and GPT-5.1 (OpenAI), contributing to the mathematical formalization and system integration. Critical technical review and iterative "peer review" were performed by Gemini 3 (Google) and GPT-5-Pro (OpenAI), whose rigorous critiques of the sub-coordinate definitions and statistical methodology significantly shaped the final manuscript. All models were used as structured reasoning and writing
assistants under the direction and final authorship of Robin Langell.
Files
Stratified MNPS Langell R. (2025).pdf
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Additional details
Additional titles
- Subtitle (English)
- Resolving opposing sub-coordinate dynamics in clinical EEG: Parkinson's and mTBI
Software
- Repository URL
- https://github.com/ruppi86/NoeticDiffusion
- Programming language
- Python
- Development Status
- Active