| 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 | 142* | 2021 |
| An accelerated analog neuromorphic hardware system emulating NMDA-and calcium-based non-linear dendrites J Schemmel, L Kriener, P Müller, K Meier 2017 International Joint Conference on Neural Networks (IJCNN), 2217-2226, 2017 | 96 | 2017 |
| A mixed-signal structured adex neuron for accelerated neuromorphic cores SA Aamir, P Müller, G Kiene, L Kriener, Y Stradmann, A Grübl, ... IEEE transactions on biomedical circuits and systems 12 (5), 1027-1037, 2018 | 59 | 2018 |
| Latent Equilibrium: A unified learning theory for arbitrarily fast computation with arbitrarily slow neurons P Haider, B Ellenberger, L Kriener, J Jordan, W Senn, MA Petrovici Advances in Neural Information Processing Systems 34, 17839-17851, 2021 | 28 | 2021 |
| The yin-yang dataset L Kriener, J Göltz, MA Petrovici Proceedings of the 2022 Annual Neuro-Inspired Computational Elements …, 2022 | 21 | 2022 |
| Neurobench: Advancing neuromorphic computing through collaborative, fair and representative benchmarking J Yik, SH Ahmed, Z Ahmed, B Anderson, AG Andreou, C Bartolozzi, ... Jason Yik, Soikat Hasan Ahmed, Zergham Ahmed, Brian Anderson, Andreas G …, 2023 | 15 | 2023 |
| From LIF to AdEx neuron models: Accelerated analog 65 nm CMOS implementation SA Aamir, P Müller, L Kriener, G Kiene, J Schemmel, K Meier 2017 IEEE Biomedical Circuits and Systems Conference (BioCAS), 1-4, 2017 | 11 | 2017 |
| Learning efficient backprojections across cortical hierarchies in real time K Max, L Kriener, G Pineda García, T Nowotny, I Jaras, W Senn, ... Nature Machine Intelligence, 1-12, 2024 | 8 | 2024 |
| Backpropagation through space, time, and the brain B Ellenberger, P Haider, J Jordan, K Max, I Jaras, L Kriener, F Benitez, ... arXiv preprint arXiv:2403.16933, 2024 | 2 | 2024 |
| Fast and energy-efficient deep neuromorphic learning J Göltz, L Kriener, V Sabado, MA Petrovici ERCIM NEWS 125, 17-18, 2021 | 2 | 2021 |
| Characterization of Single-Neuron Dynamics in the Development of Neuromorphic Hardware L Kriener Kirchhoff Institute for Physics, Heidelberg University, 2017 | 2 | 2017 |
| Gradient-based methods for spiking physical systems J Göltz, S Billaudelle, L Kriener, L Blessing, C Pehle, E Müller, ... arXiv preprint arXiv:2309.10823, 2023 | 1 | 2023 |
| Neuronal Dynamics: Silicon vs. Biology L Kriener, P Müller, S Billaudelle, J Schemmel, K Meier 1st Human Brain Project Student Conference, 80, 2017 | 1 | 2017 |
| DelGrad: Exact gradients in spiking networks for learning transmission delays and weights J Göltz, J Weber, L Kriener, P Lake, M Payvand, MA Petrovici arXiv preprint arXiv:2404.19165, 2024 | | 2024 |
| Order from chaos: Interplay of development and learning in recurrent networks of structured neurons L Kriener, K Völk, B von Hünerbein, F Benitez, W Senn, MA Petrovici arXiv preprint arXiv:2402.16763, 2024 | | 2024 |
| Deep Learning in Neuronal and Neuromorphic Systems L Kriener Department of Physiology, University of Bern, 2023 | | 2023 |
