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Open access Oct 2026

Predictive-Coding-Inspired Reconstruction of Nonlinear Dynamics in Spiking Neural Networks

Accurate reconstruction of nonlinear time-dependent dynamics is a fundamental challenge for recurrent spiking neural networks and neuromorphic signal-processing systems. In this work, we compare two prediction-error architectures for nonlinear state reconstruction: a model with an external comparator and a model employ...

B. B. Batuev, S. Sukhov · 0 citations

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