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Fast and energy-efficient neuromorphic deep learning with first-spike times., , , , , , , , , and 2 other author(s). Nat. Mach. Intell., 3 (9): 823-835 (2021)Spiking neuromorphic chip learns entangled quantum states., , , , , , , , , and 1 other author(s). CoRR, (2020)Live Demonstration: Versatile Emulation of Spiking Neural Networks on an Accelerated Neuromorphic Substrate., , , , , , , , , and 15 other author(s). ISCAS, page 1. IEEE, (2020)Quantum many-body states: A novel neuromorphic application., , , , and . NICE, page 104-106. ACM, (2022)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..Stochasticity from function - Why the Bayesian brain may need no noise., , , , , , , , and . Neural Networks, (2019)Versatile Emulation of Spiking Neural Networks on an Accelerated Neuromorphic Substrate., , , , , , , , , and 15 other author(s). ISCAS, page 1-5. IEEE, (2020)Generative models on accelerated neuromorphic hardware., , , , , , , , , and 14 other author(s). CoRR, (2018)Stochasticity from function - why the Bayesian brain may need no noise., , , , , , , , and . CoRR, (2018)Versatile emulation of spiking neural networks on an accelerated neuromorphic substrate., , , , , , , , , and 15 other author(s). CoRR, (2019)