| 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 | 215 | 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 | 154 | 2019 |
| Demonstrating hybrid learning in a flexible neuromorphic hardware system S Friedmann, J Schemmel, A Grübl, A Hartel, M Hock, K Meier IEEE transactions on biomedical circuits and systems 11 (1), 128-142, 2016 | 152 | 2016 |
| 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 | 124 | 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 | 61 | 2020 |
| A highly tunable 65-nm CMOS LIF neuron for a large scale neuromorphic system SA Aamir, P Müller, A Hartel, J Schemmel, K Meier ESSCIRC Conference 2016: 42nd European Solid-State Circuits Conference, 71-74, 2016 | 59 | 2016 |
| Explainable online validation of machine learning models for practical applications W Fuhl, Y Rong, T Motz, M Scheidt, A Hartel, A Koch, E Kasneci 2020 25th International Conference on Pattern Recognition (ICPR), 3304-3311, 2021 | 56 | 2021 |
| 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 | 41 | 2019 |
| An analog dynamic memory array for neuromorphic hardware M Hock, A Hartel, J Schemmel, K Meier 2013 European conference on circuit theory and design (ECCTD), 1-4, 2013 | 41 | 2013 |
| 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 |
| Towards biologically realistic multi-compartment neuron model emulation in analog VLSI. S Millner, A Hartel, J Schemmel, K Meier ESANN, 2012 | 13 | 2012 |
| 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 | 11 | 2017 |
| 2017 International Joint Conference on Neural Networks (IJCNN) S Schmitt, J Klähn, G Bellec, A Grübl, M Güttler, A Hartel IEEE, 2017 | 9 | 2017 |
| Implementation and Characterization of Mixed-Signal Neuromorphic ASICs A Hartel | 7 | 2016 |
| Dart: An automated end-to-end object detection pipeline with data diversification, open-vocabulary bounding box annotation, pseudo-label review, and model training C Xin, A Hartel, E Kasneci Expert Systems with Applications 258, 125124, 2024 | 4 | 2024 |
| Deep learning-based position detection for hydraulic cylinders using scattering parameters C Xin, T Motz, W Fuhl, A Hartel, E Kasneci Expert Systems with Applications 232, 120892, 2023 | 3 | 2023 |
| OCDet: Object Center Detection via Bounding Box-Aware Heatmap Prediction on Edge Devices with NPUs C Xin, T Motz, A Hartel, E Kasneci arXiv preprint arXiv:2411.15653, 2024 | | 2024 |
| KIRCHHOFF-INSTITUT FÜR PHYSIK A Hartel, NN Chip | | |
