Local Dynamics and Destination Prediction in Stochastic Systems

A synthetic methods audit separating local linear summaries, terminal occupancy, first-hit events, and finite-grid prediction. The study uses a one-dimensional double well and a two-dimensional anisotropic Ornstein-Uhlenbeck process. It reports bounded results and preserves numerical failures and closed gates. It includes no neural recordings, clinical data, or intervention.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-11-04
DOI
https://doi.org/10.5281/zenodo.23888927
Primary Topic
Mathematical Dynamics and Fractals
Type
preprint
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Local Dynamics and Destination Prediction in Stochastic Systems

Robin Langell
Zenodo (CERN European Organization for Nuclear Research)
Mathematical Dynamics and Fractals
preprint

Local Dynamics and Destination Prediction in Stochastic Systems

Robin Langell
preprint en

Abstract

A synthetic methods audit separating local linear summaries, terminal occupancy, first-hit events, and finite-grid prediction. The study uses a one-dimensional double well and a two-dimensional anisotropic Ornstein-Uhlenbeck process. It reports bounded results and preserves numerical failures and closed gates. It includes no neural recordings, clinical data, or intervention.

Zenodo (CERN European Organization for Nuclear Research)
Mathematical Dynamics and Fractals
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Local Dynamics and Destination Prediction in Stochastic Systems — Robin Langell · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS