Under a small-angle approximation, the stationary phase covariance of a noisy Kuramoto oscillator network equals the inverse of the encoded matrix up to known constants.
Nonequilibrium Gaussian Distribution for Coupled Linear Langevin Equations
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abstract
Explicit forms of nonequilibrium Gaussian distributions and heat flows are obtained for the Fokker-Planck equation corresponding to the coupled linear Langevin equations of two and three variables.
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Thermodynamics-Inspired Computing with Oscillatory Neural Networks for Inverse Matrix Computation
Under a small-angle approximation, the stationary phase covariance of a noisy Kuramoto oscillator network equals the inverse of the encoded matrix up to known constants.