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This paper extends Equilibrium Propagation to skew-gradient systems and demonstrates an equivalence between deep Energy-Based Models and Hamiltonian neural networks, focusing on diffusively coupled Fitzhugh-Nagumo neurons. It derives a layer-wise Hamiltonian recurrence relation for inference in such networks.