Analogue modelling an array of the FitzHugh–Nagumo oscillators
The purpose of the paper is to show that analogue electronic modelling is an extremely fast technique compared to conventional digital computing, especially when solving large sets of coupled nonlinear differential equations.
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doaj
Neural ordinary differential equations with irregular and noisy data. [PDF]
Goyal P, Benner P.
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Mathematical and Computational Models of Biochemical Reactions and Cell Signaling-From Ordinary Differential Equations to Machine Learning. [PDF]
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Transcriptomic forecasting with neural ordinary differential equations. [PDF]
Erbe R, Stein-O'Brien G, Fertig EJ.
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gNODE: gLV model-informed neural ordinary differential equations for modeling microbial community dynamics. [PDF]
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Interpretable polynomial neural ordinary differential equations. [PDF]
Fronk C, Petzold L.
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Hazard-based distributional regression via ordinary differential equations. [PDF]
A Christen J, J Rubio F.
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A Mathematical Approach on the Limits of ceRNA Hypothesis Through an Ordinary Differential Equations (ODE) Model of mRNA-microRNA Interactions. [PDF]
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Data-driven anisotropic finite viscoelasticity using neural ordinary differential equations. [PDF]
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Myo-ODE: continuous-time trajectory reconstruction and risk prediction of high myopia via neural ordinary differential equations. [PDF]
Zhao N +7 more
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