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MATLAB simulation demonstrates fixed-time synchronization in stochastic neural dynamics, indicating new methods for dynamical systems.
# 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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P et al. (2026) studied this question.
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