| Six networks on a universal neuromorphic computing substrate T Pfeil, A Grübl, S Jeltsch, E Müller, P Müller, MA Petrovici, M Schmuker, ... Frontiers in neuroscience 7, 11, 2013 | 215 | 2013 |
| 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 | 168 | 2017 |
| 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, 263-296, 2011 | 140 | 2011 |
| 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 | 123 | 2019 |
| Establishing a novel modeling tool: a python-based interface for a neuromorphic hardware system D Brüderle, E Müller, AP Davison, E Muller, J Schemmel, K Meier Frontiers in neuroinformatics 3, 362, 2009 | 97 | 2009 |
| 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 | 74 | 2022 |
| 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 | 49 | 2020 |
| Code generation in computational neuroscience: a review of tools and techniques I Blundell, R Brette, TA Cleland, TG Close, D Coca, AP Davison, ... Frontiers in neuroinformatics 12, 68, 2018 | 43 | 2018 |
| 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 | 32 | 2019 |
| A Software Framework for Mapping Neural Networks to a Wafer-scale Neuromorphic Hardware System. M Ehrlich, K Wendt, L Zühl, R Schüffny, D Brüderle, E Müller, B Vogginger ANNIIP, 43-52, 2010 | 27 | 2010 |
| Emulating dendritic computing paradigms on analog neuromorphic hardware J Kaiser, S Billaudelle, E Müller, C Tetzlaff, J Schemmel, S Schmitt Neuroscience 489, 290-300, 2022 | 24 | 2022 |
| NEST 2.14. 0 A Peyser, R Deepu, J Mitchell, S Appukuttan, T Schumann, JM Eppler, ... Jülich Supercomputing Center, 2017 | 24 | 2017 |
| The Operating System of the Neuromorphic BrainScaleS-1 System E Müller, S Schmitt, C Mauch, S Billaudelle, A Grübl, M Güttler, ... Neurocomputing, 2022 | 22 | 2022 |
| 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 | 21 | 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 | 21 | 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 | 17 | 2020 |
| Simulator-like exploration of cortical network architectures with a mixed-signal VLSI system D Brüderle, J Bill, B Kaplan, J Kremkow, K Meier, E Müller, J Schemmel 2010 IEEE International Symposium on Circuits and Systems (ISCAS), 2784-8787, 2010 | 16 | 2010 |
| 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 | 12 | 2022 |
| 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 |
Johannes SchemmelHeidelberg UniversityBestätigte E-Mail-Adresse bei kip.uni-heidelberg.de
