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Event-based Backpropagation for Analog Neuromorphic Hardware.

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Johannes Schemmel

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Другие публикации лиц с тем же именем

Fast and energy-efficient neuromorphic deep learning with first-spike times., , , , , , , , , и 2 other автор(ы). Nat. Mach. Intell., 3 (9): 823-835 (2021)Event-based Backpropagation for Analog Neuromorphic Hardware., , , , и . CoRR, (2023)Spiking neuromorphic chip learns entangled quantum states., , , , , , , , , и 1 other автор(ы). CoRR, (2020)hxtorch.snn: Machine-learning-inspired Spiking Neural Network Modeling on BrainScaleS-2., , , , , , и . CoRR, (2022)Spiking Neural Network Equalization for IM/DD Optical Communication., , , , , , и . CoRR, (2022)Structural plasticity on an accelerated analog neuromorphic hardware system., , , , , , и . CoRR, (2019)Extending BrainScaleS OS for BrainScaleS-2., , , , , , , и . CoRR, (2020)Live Demonstration: Versatile Emulation of Spiking Neural Networks on an Accelerated Neuromorphic Substrate., , , , , , , , , и 15 other автор(ы). ISCAS, стр. 1. IEEE, (2020)Inference with Artificial Neural Networks on Analog Neuromorphic Hardware., , , , , , , , , и 4 other автор(ы). IoT Streams/ITEM@PKDD/ECML, том 1325 из Communications in Computer and Information Science, стр. 201-212. Springer, (2020)Fast and deep neuromorphic learning with first-spike coding., , , , , , , , и . NICE, стр. 14:1-14:3. ACM, (2020)Postponed due to the Covid-19 pandemic..