| A comprehensive workflow for general-purpose neural modeling with highly configurable neuromorphic hardware systems D Brüderle, MA Petrovici, B Vogginger, M Ehrlich, T Pfeil, S Millner, ... Biological cybernetics 104 (4), 263-296, 2011 | 136 | 2011 |
| Characterization and compensation of network-level anomalies in mixed-signal neuromorphic modeling platforms MA Petrovici, B Vogginger, P Müller, O Breitwieser, M Lundqvist, L Muller, ... PloS one 9 (10), e108590, 2014 | 60 | 2014 |
| Fast and energy-efficient neuromorphic deep learning with first-spike times J Göltz, L Kriener, A Baumbach, S Billaudelle, O Breitwieser, B Cramer, ... Nature Machine Intelligence 3 (9), 823-835, 2021 | 44 | 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 | 44 | 2020 |
| Fast and deep neuromorphic learning with first-spike coding J Göltz, A Baumbach, S Billaudelle, AF Kungl, O Breitwieser, K Meier, ... Proceedings of the Neuro-inspired Computational Elements Workshop, 1-3, 2020 | 43 | 2020 |
| Nest 2.12. 0 S Kunkel, R Deepu, HE Plesser, B Golosio, ME Lepperød, JM Eppler, ... Jülich Supercomputing Center, 2017 | 39 | 2017 |
| Spiking neurons with short-term synaptic plasticity form superior generative networks L Leng, R Martel, O Breitwieser, I Bytschok, W Senn, J Schemmel, K Meier, ... Scientific reports 8 (1), 10651, 2018 | 30 | 2018 |
| Stochasticity from function—why the bayesian brain may need no noise D Dold, I Bytschok, AF Kungl, A Baumbach, O Breitwieser, W Senn, ... Neural networks 119, 200-213, 2019 | 27 | 2019 |
| 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 | 26 | 2019 |
| 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 | 20 | 2017 |
| 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 | 19 | 2020 |
| Deterministic networks for probabilistic computing J Jordan, MA Petrovici, O Breitwieser, J Schemmel, K Meier, M Diesmann, ... Scientific reports 9 (1), 1-17, 2019 | 16 | 2019 |
| Extending BrainScaleS OS for BrainScaleS-2 E Müller, C Mauch, P Spilger, OJ Breitwieser, J Klähn, D Stöckel, ... arXiv preprint arXiv:2003.13750, 2020 | 15 | 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 |
| 25th annual computational neuroscience meeting: CNS-2016 TO Sharpee, A Destexhe, M Kawato, V Sekulić, FK Skinner, DK Wójcik, ... BMC neuroscience 17 (1), 1-112, 2016 | 14 | 2016 |
| Towards a neuromorphic implementation of spike-based expectation maximization O Breitwieser Masterarbeit, Universität Heidelberg, 2015 | 14 | 2015 |
| Robustness from structure: Inference with hierarchical spiking networks on analog neuromorphic hardware MA Petrovici, A Schroeder, O Breitwieser, A Grübl, J Schemmel, K Meier 2017 International Joint Conference on Neural Networks (IJCNN), 2209-2216, 2017 | 7 | 2017 |
| Spiking neural networks as superior generative and discriminative models L Leng, MA Petrovici, R Martel, I Bytschok, O Breitwieser, J Bill, ... Cosyne Abstracts, Salt Lake City USA, 2016 | 6 | 2016 |
| Demonstrating Analog Inference on the BrainScaleS-2 Mobile System Y Stradmann, S Billaudelle, O Breitwieser, FL Ebert, A Emmel, ... arXiv preprint arXiv:2103.15960, 2021 | 5 | 2021 |
| Stochastic neural computation without noise J Jordan, MA Petrovici, O Breitwieser, J Schemmel, K Meier, M Diesmann, ... arXiv preprint arXiv:1710.04931, 2017 | 5 | 2017 |
