| Surrogate gradients for analog neuromorphic computing B Cramer, S Billaudelle, S Kanya, A Leibfried, A Grübl, V Karasenko, ... Proceedings of the National Academy of Sciences 119 (4), e2109194119, 2022 | 38 | 2022 |
| The BrainScaleS-2 accelerated neuromorphic system with hybrid plasticity C Pehle, S Billaudelle, B Cramer, J Kaiser, K Schreiber, Y Stradmann, ... Frontiers in Neuroscience 16, 2022 | 31 | 2022 |
| Accelerated analog neuromorphic computing J Schemmel, S Billaudelle, P Dauer, J Weis Analog Circuits for Machine Learning, Current/Voltage/Temperature Sensors …, 2021 | 26 | 2021 |
| hxtorch: PyTorch for BrainScaleS-2: Perceptrons on Analog Neuromorphic Hardware 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 | 19 | 2020 |
| Training spiking multi-layer networks with surrogate gradients on an analog neuromorphic substrate B Cramer, S Billaudelle, S Kanya, A Leibfried, A Grübl, V Karasenko, ... arXiv preprint arXiv:2006.07239, 2020 | 17 | 2020 |
| Inference with artificial neural networks on analog neuromorphic hardware J Weis, P Spilger, S Billaudelle, Y Stradmann, A Emmel, E Müller, ... IoT Streams for Data-Driven Predictive Maintenance and IoT, Edge, and Mobile …, 2020 | 14 | 2020 |
| A scalable approach to modeling on accelerated neuromorphic hardware E Müller, E Arnold, O Breitwieser, M Czierlinski, A Emmel, J Kaiser, ... Frontiers in neuroscience 16, 2022 | 7 | 2022 |
| Accelerated analog neuromorphic computing. arXiv [Preprint](2020) J Schemmel, S Billaudelle, P Dauer, J Weis arXiv preprint arXiv:2003.11996 12, 2003 | 6 | 2003 |
| Demonstrating analog inference on the brainscales-2 mobile system Y Stradmann, S Billaudelle, O Breitwieser, FL Ebert, A Emmel, ... IEEE Open Journal of Circuits and Systems 3, 252-262, 2022 | 5 | 2022 |
| Towards addressing noise and static variations of analog computations using efficient retraining B Klein, L Kuhn, J Weis, A Emmel, Y Stradmann, J Schemmel, H Fröning Machine Learning and Principles and Practice of Knowledge Discovery in …, 2022 | 4 | 2022 |
| Inference with Artificial Neural Networks on Neuromorphic Hardware J Weis Kirchhoff-Institute for Physics, Heidelberg University, 2020 | 4 | 2020 |
| Training spiking multi-layer networks with surrogate gradients on an analog neuromorphic substrate. arXiv preprint (2020) B Cramer, S Billaudelle, S Kanya, A Leibfried, A Grübl, V Karasenko, ... arXiv preprint arXiv:2006.07239, 0 | 3 | |
| Testing of a neuromorphic Short Term Plasticity circuit J Weis Internship report, Universität Heidelberg, 2017 | 1 | 2017 |
| Spiking Neural Network Nonlinear Demapping on Neuromorphic Hardware for IM/DD Optical Communication E Arnold, G Böcherer, F Strasser, E Müller, P Spilger, S Billaudelle, J Weis, ... Journal of Lightwave Technology, 2023 | | 2023 |
| An accurate and flexible analog emulation of AdEx neuron dynamics in silicon S Billaudelle, J Weist, P Dauer, J Schemmel 2022 29th IEEE International Conference on Electronics, Circuits and Systems …, 2022 | | 2022 |
| Autocorrelations from emergent bistability in homeostatic spiking neural networks on neuromorphic hardware B Cramer, M Kreft, S Billaudelle, V Karasenko, A Leibfried, E Müller, ... arXiv preprint arXiv:2208.08329, 2022 | | 2022 |
| Autocorrelations in homeostatic spiking neural networks as a result of emergent bistable activity J Zierenberg, B Cramer, M Kreft, S Billaudelle, V Karasenko, A Leibfried, ... APS March Meeting Abstracts 2022, B03. 010, 2022 | | 2022 |
| Faculty of Physics and Astronomy J Weis | | 2018 |
Johannes SchemmelHeidelberg UniversityBestätigte E-Mail-Adresse bei kip.uni-heidelberg.de
