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Demonstrating Advantages of Neuromorphic Computation: A Pilot Study., , , , , , , , , and 7 other author(s). CoRR, (2018)Stochasticity from function - Why the Bayesian brain may need no noise., , , , , , , , and . Neural Networks, (2019)Brain-Inspired Hardware for Artificial Intelligence: Accelerated Learning in a Physical-Model Spiking Neural Network., , , , and . ICANN (1), volume 11727 of Lecture Notes in Computer Science, page 119-122. Springer, (2019)Fast and energy-efficient neuromorphic deep learning with first-spike times., , , , , , , , , and 2 other author(s). Nat. Mach. Intell., 3 (9): 823-835 (2021)Fast and deep neuromorphic learning with first-spike coding., , , , , , , , and . NICE, page 14:1-14:3. ACM, (2020)Postponed due to the Covid-19 pandemic..Versatile emulation of spiking neural networks on an accelerated neuromorphic substrate., , , , , , , , , and 15 other author(s). CoRR, (2019)Stochasticity from function - why the Bayesian brain may need no noise., , , , , , , , and . CoRR, (2018)Generative models on accelerated neuromorphic hardware., , , , , , , , , and 14 other author(s). CoRR, (2018)