| 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 | 231* | 2021 |
| The neurobench framework for benchmarking neuromorphic computing algorithms and systems J Yik, K Van den Berghe, D den Blanken, Y Bouhadjar, M Fabre, ... Nature communications 16 (1), 1545, 2025 | 127* | 2025 |
| 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 | 114 | 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 | 73 | 2018 |
| The yin-yang dataset L Kriener, J Göltz, MA Petrovici Proceedings of the 2022 Annual Neuro-Inspired Computational Elements …, 2022 | 46 | 2022 |
| 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 | 45 | 2021 |
| 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 | 25 | 2024 |
| DelGrad: exact event-based gradients for training delays and weights on spiking neuromorphic hardware J Göltz, J Weber, L Kriener, S Billaudelle, P Lake, J Schemmel, ... Nature Communications 16 (1), 8245, 2025 | 16* | 2025 |
| The Role of Temporal Hierarchy in Spiking Neural Networks F Moro, PV Aceituno, L Kriener, M Payvand arXiv preprint arXiv:2407.18838, 2024 | 11 | 2024 |
| 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 |
| Backpropagation through space, time and the brain B Ellenberger, P Haider, F Benitez, J Jordan, K Max, I Jaras, L Kriener, ... Nature Communications, 2025 | 9 | 2025 |
| 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 | 4 | 2023 |
| Quantizing Small-Scale State-Space Models for Edge AI L Zhao, T Torchet, M Payvand, L Kriener, F Moro arXiv preprint arXiv:2506.12480, 2025 | 3 | 2025 |
| Fast and energy-efficient deep neuromorphic learning J Göltz, L Kriener, V Sabado, MA Petrovici ERCIM NEWS 125, 17-18, 2021 | 3 | 2021 |
| ELiSe: Efficient Learning of Sequences in Structured Recurrent Networks L Kriener, K Völk, B von Hünerbein, F Benitez, W Senn, MA Petrovici arXiv preprint arXiv:2402.16763, 2024 | 2 | 2024 |
| Characterization of Single-Neuron Dynamics in the Development of Neuromorphic Hardware L Kriener Kirchhoff Institute for Physics, Heidelberg University, 2017 | 2 | 2017 |
| 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 |
| Synchronization and semantization in deep spiking networks J Oberste-Frielinghaus, AC Kurth, J Göltz, L Kriener, J Ito, MA Petrovici, ... arXiv preprint arXiv:2508.12975, 2025 | | 2025 |
| mGRADE: Minimal Recurrent Gating Meets Delay Convolutions for Lightweight Sequence Modeling T Torchet, C Metzner, L Kriener, M Payvand arXiv preprint arXiv:2507.01829, 2025 | | 2025 |
| MINIMALIST: switched-capacitor circuits for efficient in-memory computation of gated recurrent units S Billaudelle, L Kriener, F Moro, T Torchet, M Payvand arXiv preprint arXiv:2505.08599, 2025 | | 2025 |
Mihai A. PetroviciGroup Leader, NeuroTMA Lab, University of BernVerified email at unibe.ch
