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hxtorch: PyTorch for BrainScaleS-2 - Perceptrons on Analog Neuromorphic Hardware., , , , , , , , , and 3 other author(s). IoT Streams/ITEM@PKDD/ECML, volume 1325 of Communications in Computer and Information Science, page 189-200. Springer, (2020)Inference with Artificial Neural Networks on Analog Neuromorphic Hardware., , , , , , , , , and 4 other author(s). IoT Streams/ITEM@PKDD/ECML, volume 1325 of Communications in Computer and Information Science, page 201-212. Springer, (2020)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..Demonstrating Analog Inference on the BrainScaleS-2 Mobile System., , , , , , , , , and 1 other author(s). IEEE Open J. Circuits Syst., (2022)Versatile Emulation of Spiking Neural Networks on an Accelerated Neuromorphic Substrate., , , , , , , , , and 15 other author(s). ISCAS, page 1-5. IEEE, (2020)Learning by Tooling: Novel Neuromorphic Learning Strategies in Reproducible Software Environments.. University of Heidelberg, Germany, (2021)Extending BrainScaleS OS for BrainScaleS-2., , , , , , , and . CoRR, (2020)