| The Heidelberg Spiking Data Sets for the Systematic Evaluation of Spiking Neural Networks B Cramer, Y Stradmann, J Schemmel, F Zenke IEEE Transactions on Neural Networks and Learning Systems, 2020 | 183 | 2020 |
| 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 | 140 | 2019 |
| 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), 2022 | 116* | 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, 795876, 2022 | 115 | 2022 |
| An Accelerated LIF Neuronal Network Array for a Large-Scale Mixed-Signal Neuromorphic Architecture SA Aamir, Y Stradmann, P Müller, C Pehle, A Hartel, A Grübl, J Schemmel, ... IEEE Transactions on Circuits and Systems I: Regular Papers 65 (12), 4299-4312, 2018 | 112 | 2018 |
| A Mixed-Signal Structured AdEx Neuron for Accelerated Neuromorphic Cores SA Aamir, P Müller, G Kiene, L Kriener, Y Stradmann, A Grübl, ... IEEE transactions on biomedical circuits and systems 12 (5), 1027-1037, 2018 | 59 | 2018 |
| 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: 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 | 24 | 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, 690, 2022 | 22 | 2022 |
| 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 | 17 | 2020 |
| 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 | 13 | 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 …, 2021 | 6 | 2021 |
| Characterization and Calibration of a Mixed-Signal Leaky Integrate and Fire Neuron on HICANN-DLS Y Stradmann Bachelor's Thesis. Ruprecht-Karls-Universität Heidelberg., 2016 | 6 | 2016 |
| Emulating insect brains for neuromorphic navigation K Schreiber, T Wunderlich, P Spilger, S Billaudelle, B Cramer, ... arXiv preprint arXiv:2401.00473, 2023 | 3* | 2023 |
| Biomorphic control for high-speed robotic applications Y Stradmann, J Schemmel 7th HBP Student Conference on Interdisciplinary Brain Research, 277-281, 2023 | 2 | 2023 |
| Verification and Commissioning of Mixed-Signal Neuromorphic Substrates Y Stradmann Master's Thesis. Ruprecht-Karls-Universität Heidelberg., 2019 | 2 | 2019 |
| Lu. i – A low-cost electronic neuron for education and outreach Y Stradmann, J Göltz, MA Petrovici, J Schemmel, S Billaudelle arXiv preprint arXiv:2404.16664, 2024 | | 2024 |
| Closing the loop: High-speed robotics with accelerated neuromorphic hardware Y Stradmann, J Schemmel Frontiers in Neuroscience 18, 1360122, 2024 | | 2024 |
Johannes SchemmelHeidelberg University在 kip.uni-heidelberg.de 的电子邮件经过验证
