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).

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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
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article

Physics-Informed Koopman Learning Approach for Fixed-Time Synchronization of Stochastic Neural Dynamics

Prakash Mani, Mubasil P
Zenodo (CERN European Organization for Nuclear Research)
stochastic dynamics and bifurcation
article

Physics-Informed Koopman Learning Approach for Fixed-Time Synchronization of Stochastic Neural Dynamics

Prakash Mani, Mubasil P
article en

Abstract

# 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).

Zenodo (CERN European Organization for Nuclear Research)
Vellore Institute of Technology University (IN)
Openalex Percentile: Top 18%
stochastic dynamics and bifurcation
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