| Neuromorphic hardware in the loop: Training a deep spiking network on the brainscales wafer-scale system S Schmitt, J Klähn, G Bellec, A Grübl, M Guettler, A Hartel, S Hartmann, ... 2017 international joint conference on neural networks (IJCNN), 2227-2234, 2017 | 188 | 2017 |
| 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 | 136 | 2019 |
| 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 | 53 | 2020 |
| Accelerated physical emulation of bayesian inference in spiking neural networks AF Kungl, S Schmitt, J Klähn, P Müller, A Baumbach, D Dold, A Kugele, ... Frontiers in neuroscience 13, 1201, 2019 | 36 | 2019 |
| The operating system of the neuromorphic BrainScaleS-1 system E Müller, S Schmitt, C Mauch, S Billaudelle, A Grübl, M Güttler, ... Neurocomputing 501, 790-810, 2022 | 28 | 2022 |
| 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 | 23 | 2020 |
| Pattern representation and recognition with accelerated analog neuromorphic systems MA Petrovici, S Schmitt, J Klähn, D Stöckel, A Schroeder, G Bellec, J Bill, ... 2017 IEEE International Symposium on Circuits and Systems (ISCAS), 1-4, 2017 | 22 | 2017 |
| Extending brainscales OS for BrainScaleS-2 E Müller, C Mauch, P Spilger, OJ Breitwieser, J Klähn, D Stöckel, ... arXiv preprint arXiv:2003.13750, 2020 | 20 | 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, 884128, 2022 | 19 | 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 |
| Classification with deep neural networks on an accelerated analog neuromorphic system S Schmitt, J Klähn, G Bellec, A Grübl, M Güttler, A Hartel, S Hartmann, ... Proceedings of the 2017 IEEE International Joint Conference on Neural Networks, 2017 | 12 | 2017 |
| hxtorch. snn: Machine-learning-inspired Spiking Neural Network Modeling on BrainScaleS-2 P Spilger, E Arnold, L Blessing, C Mauch, C Pehle, E Müller, J Schemmel Proceedings of the 2023 Annual Neuro-Inspired Computational Elements …, 2023 | 6 | 2023 |
| 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 | 5 | |
| From clean room to machine room: commissioning of the first-generation BrainScaleS wafer-scale neuromorphic system H Schmidt, J Montes, A Grübl, M Güttler, D Husmann, J Ilmberger, ... Neuromorphic Computing and Engineering 3 (3), 034013, 2023 | 3 | 2023 |
| Operating Accelerated Neuromorphic Hardware-A Scalable and Sustainable Approach CP Mauch | 2 | 2021 |
| Inference with Artificial Neural Networks on Analog Neuromorphic Hardware A Emmel, E Müller, O Breitwieser, A Grübl, J Ilmberger, V Karasenko, ... IoT Streams for Data-Driven Predictive Maintenance and IoT, Edge, and Mobile …, 2021 | | 2021 |
| Demonstrating advantages of neuromorphic computation T Wunderlich, Á Kungl, E Müller, A Hartel, Y Stradmann, SA Aamir, ... | | 2019 |
| Department of Physics and Astronomy C Mauch | | |
| Forging an Ensemble of Neuromorphic Chips into a Large-Scale Neural Network Emulation Platform C Mauch, E Müller, S Schmitt, M Kleider, C Koke, V Karasenko, J Klähn, ... 1st Human Brain Project Student Conference, 82, 0 | | |
