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A Scalable Approach to Modeling on Accelerated Neuromorphic Hardware., , , , , , , , , and 13 other author(s). CoRR, (2022)The Yin-Yang dataset., , and . CoRR, (2021)Versatile Emulation of Spiking Neural Networks on an Accelerated Neuromorphic Substrate., , , , , , , , , and 15 other author(s). ISCAS, page 1-5. IEEE, (2020)Fast and deep neuromorphic learning with time-to-first-spike coding., , , , , , , , , and 1 other author(s). CoRR, (2019)Versatile emulation of spiking neural networks on an accelerated neuromorphic substrate., , , , , , , , , and 15 other author(s). CoRR, (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)Live Demonstration: Versatile Emulation of Spiking Neural Networks on an Accelerated Neuromorphic Substrate., , , , , , , , , and 15 other author(s). ISCAS, page 1. IEEE, (2020)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..Fast and Energy-efficient Deep Neuromorphic Learning., , , and . ERCIM News, (2021)Gradient-based methods for spiking physical systems., , , , , , , and . CoRR, (2023)