Parameter reconstruction algorithm for SNN training obtained by extending convexification of parallel feedforward threshold networks to the recurrent case that subsumes SNNs.
The separation capacity of random neural networks.Journal of Machine Learning Research, 23(309):1–47
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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.