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SuperSpike: Supervised learning in multi-layer spiking neural networks., and . CoRR, (2017)Intelligent synapses for multi-task and transfer learning., , and . ICLR (Workshop), OpenReview.net, (2017)Memory formation and recall in recurrent spiking neural networks.. EPFL, Switzerland, (2014)Elucidating the theoretical underpinnings of surrogate gradient learning in spiking neural networks., and . CoRR, (2024)Surrogate Gradient Learning in Spiking Neural Networks: Bringing the Power of Gradient-based optimization to spiking neural networks., , and . IEEE Signal Process. Mag., 36 (6): 51-63 (2019)Fluctuation-driven initialization for spiking neural network training., , and . CoRR, (2022)PetaOps/W edge-AI $\mu$ Processors: Myth or reality?, , , , , , , , , and 18 other author(s). DATE, page 1-6. IEEE, (2023)Brain-Inspired Learning on Neuromorphic Substrates., and . CoRR, (2020)Training spiking multi-layer networks with surrogate gradients on an analog neuromorphic substrate., , , , , , , , , and 2 other author(s). CoRR, (2020)Improving equilibrium propagation without weight symmetry through Jacobian homeostasis., and . CoRR, (2023)