Published December 3, 2025 | Version v.0.11

Regional Meta-Noetic Phase Space in fMRI: Child–Adult Manifold Dynamics in a Naturalistic Movie

Description

This is a first, openly documented implementation of Regional Meta-Noetic Phase Space (MNPS) in fMRI, using the ds000228 Pixar dataset. The work should be read as a methodological and conceptual technical report rather than a definitive neurodevelopmental study. All mappings from BOLD features to MNPS coordinates are explicitly heuristic and config-driven, and all results should be regarded as hypothesis-generating.

Notes

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-5.1 (OpenAI), contributing to the mathematical formalization and system integration. Critical technical review and iterative "peer review" were performed by Gemini 3 (Google), GPT-5.1 (OpenAI) and Claude 4.5 Opus (Anthropic), 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

Regional Meta-Noetic Phase Space in fMRI Child–Adult Manifold Dynamics in a Naturalistic Movie.pdf

Additional details

Related works

Is supplement to
Publication: 10.5281/zenodo.17367308 (DOI)
Publication: 10.5281/zenodo.17643473 (DOI)
Publication: 10.5281/zenodo.17505011 (DOI)

Software

Repository URL
https://github.com/ruppi86/NoeticDiffusion
Programming language
Python
Development Status
Active