Parameter reconstruction algorithm for SNN training obtained by extending convexification of parallel feedforward threshold networks to the recurrent case that subsumes SNNs.
Random Spiking Neural Networks are Stable and Spectrally Simple, November 2025
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Globally Optimal Training of Spiking Neural Networks via Parameter Reconstruction
Parameter reconstruction algorithm for SNN training obtained by extending convexification of parallel feedforward threshold networks to the recurrent case that subsumes SNNs.