Demonstrating Advantages of Neuromorphic Computation: A Pilot Study T Wunderlich, AF Kungl, E Müller, A Hartel, Y Stradmann, SA Aamir, ... Frontiers in Neuroscience 13, 260, 2019 | 139 | 2019 |
Event-based backpropagation can compute exact gradients for spiking neural networks TC Wunderlich, C Pehle Scientific Reports 11 (1), 1-17, 2021 | 107 | 2021 |
Versatile emulation of spiking neural networks on an accelerated neuromorphic substrate S Billaudelle, Y Stradmann, K Schreiber, B Cramer, A Baumbach, D Dold, ... 2020 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2020 | 54 | 2020 |
hxtorch: PyTorch for BrainScaleS-2 P Spilger, E Müller, A Emmel, A Leibfried, C Mauch, C Pehle, J Weis, ... IoT Streams for Data-Driven Predictive Maintenance and IoT, Edge, and Mobile …, 2020 | 24 | 2020 |
Extending BrainScaleS OS for BrainScaleS-2. arXiv preprint (2020) E Müller, C Mauch, P Spilger, OJ Breitwieser, J Klähn, D Stöckel, ... arXiv preprint arXiv:2003.13750, 0 | 24 | |
Closed-loop experiments on the BrainScaleS-2 architecture K Schreiber, TC Wunderlich, C Pehle, MA Petrovici, J Schemmel, K Meier Proceedings of the Neuro-inspired Computational Elements Workshop, 1-3, 2020 | 5 | 2020 |
SpiNNaker2: A Large-Scale Neuromorphic System for Event-Based and Asynchronous Machine Learning HA Gonzalez, J Huang, F Kelber, KK Nazeer, T Langer, C Liu, ... arXiv preprint arXiv:2401.04491, 2024 | 4 | 2024 |
Insectoid path integration on accelerated neuromorphic hardware K Schreiber, T Wunderlich, P Spilger, S Billaudelle, B Cramer, ... Google Scholar, 2022 | 3 | 2022 |
Brain-Inspired Hardware for Artificial Intelligence: Accelerated Learning in a Physical-Model Spiking Neural Network T Wunderlich, AF Kungl, E Müller, J Schemmel, M Petrovici International Conference on Artificial Neural Networks, 119-122, 2019 | 3 | 2019 |
Emulating insect brains for neuromorphic navigation K Schreiber, T Wunderlich, P Spilger, S Billaudelle, B Cramer, ... arXiv preprint arXiv:2401.00473, 2023 | | 2023 |