
doi: 10.5281/zenodo.20781568 , 10.5281/zenodo.20844600 , 10.5281/zenodo.20840290 , 10.5281/zenodo.20575040 , 10.5281/zenodo.20551472 , 10.5281/zenodo.20822847 , 10.5281/zenodo.20908468 , 10.5281/zenodo.20554715 , 10.5281/zenodo.20954337 , 10.5281/zenodo.20821753 , 10.5281/zenodo.20617302 , 10.5281/zenodo.21062241 , 10.5281/zenodo.20753213 , 10.5281/zenodo.20718788 , 10.5281/zenodo.20980176 , 10.5281/zenodo.20330482 , 10.5281/zenodo.20569038
doi: 10.5281/zenodo.20781568 , 10.5281/zenodo.20844600 , 10.5281/zenodo.20840290 , 10.5281/zenodo.20575040 , 10.5281/zenodo.20551472 , 10.5281/zenodo.20822847 , 10.5281/zenodo.20908468 , 10.5281/zenodo.20554715 , 10.5281/zenodo.20954337 , 10.5281/zenodo.20821753 , 10.5281/zenodo.20617302 , 10.5281/zenodo.21062241 , 10.5281/zenodo.20753213 , 10.5281/zenodo.20718788 , 10.5281/zenodo.20980176 , 10.5281/zenodo.20330482 , 10.5281/zenodo.20569038
MENTAL ONE is an end‑to‑end differentiable engine for psychiatric and neurological diagnosis, trajectory prediction, and treatment design. It unifies Semantic State Contraction (SSC), Self‑Organised Criticality (SOC) with a learnable kernel, Renormalisation Group (RG) filtering, Itō processes, and control‑theoretic interventions into a single, vendor‑neutral PyTorch workflow.
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