Physics-Informed Koopman Learning Approach for Fixed-Time Synchronization of Stochastic Neural Dynamics
# Physics-Informed Koopman Learning Approach for Fixed-Time Synchronization of Stochastic Neural Dynamics A MATLAB simulation suite that demonstrates **Physics-Informed Koopman learning approach for fixed-time synchronization of stochastic neural dynamics** of the Hindmarsh-Rose (HR) neuron model under both deterministic dynamics and stochastic perturbations (Brownian noise + compound Poisson jumps).
Authors
- Prakash Mani (ORCID: https://orcid.org/0000-0003-0420-4249)
- Mubasil P
Institutions
- Vellore Institute of Technology University (IN)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-04-06
- DOI
- https://doi.org/10.5281/zenodo.19436925
- Primary Topic
- stochastic dynamics and bifurcation
- Type
- article
- Field-Weighted Citation Impact
- 0.00