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 | 149 | 2011 |
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 | 143 | 2021 |
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 | 81 | 2014 |
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 | 59 | 2020 |
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 | 44 | 2018 |
Fast and deep neuromorphic learning with first-spike coding J Göltz, A Baumbach, S Billaudelle, AF Kungl, O Breitwieser, K Meier, ... Proceedings of the 2020 Annual Neuro-Inspired Computational Elements …, 2020 | 43 | 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 | 41 | 2019 |
Nest 2.12. 0 S Kunkel, R Deepu, HE Plesser, B Golosio, ME Lepperød, JM Eppler, ... Jülich Supercomputing Center, 2017 | 40 | 2017 |
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 | 32 | 2022 |
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 | 31 | 2019 |
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 | 27 | 2020 |
25th annual computational neuroscience meeting: CNS-2016 TO Sharpee, A Destexhe, M Kawato, V Sekulić, FK Skinner, DK Wójcik, ... BMC neuroscience 17, 1-112, 2016 | 27 | 2016 |
Deterministic networks for probabilistic computing J Jordan, MA Petrovici, O Breitwieser, J Schemmel, K Meier, M Diesmann, ... Scientific reports 9 (1), 18303, 2019 | 26 | 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 | 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 | 23 | 2017 |
Cortical oscillations support sampling-based computations in spiking neural networks A Korcsak-Gorzo, MG Müller, A Baumbach, L Leng, OJ Breitwieser, ... PLoS computational biology 18 (3), e1009753, 2022 | 18 | 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 | 15 | 2022 |
Towards a neuromorphic implementation of spike-based expectation maximization O Breitwieser Masterarbeit, Universität Heidelberg, 2015 | 15 | 2015 |
Fast and deep: energy-efficient neuromorphic learning with first-spike times J Göltz, L Kriener, A Baumbach, S Billaudelle, O Breitwieser, B Cramer, ... arXiv preprint arXiv:1912.11443, 2019 | 13 | 2019 |