| Interfacing neuromorphic hardware with machine learning frameworks-a review J Lohoff, Z Yu, J Finkbeiner, A Kaya, K Stewart, H Wai Lui, E Neftci Proceedings of the 2023 International Conference on Neuromorphic Systems, 1-8, 2023 | 4 | 2023 |
| Optimizing Automatic Differentiation with Deep Reinforcement Learning J Lohoff, E Neftci Neural Information Processing Systems 38, 2024 | 1 | 2024 |
| SNNAX-Spiking Neural Networks in JAX J Lohoff, J Finkbeiner, E Neftci 2024 International Conference on Neuromorphic Systems (ICONS), 251-255, 2024 | 1 | 2024 |
| A Truly Sparse and General Implementation of Gradient-Based Synaptic Plasticity J Lohoff, A Kaya, F Assmuth, E Neftci arXiv preprint arXiv:2501.11407, 2025 | | 2025 |
| Finding new bio-plausible Learning Rules using Deep Reinforcement Learning J Lohoff, E Neftci nternational conference on neuromorphic, natural and physical computing, 2023 | | 2023 |
| Pedersen, Jens 358 Pelton, Jacob 217 Pinar, Ali 307 Polykretis, Ioannis 39 S Gupta, S Hamdioui, ME Hasselmo, A Hasssan, J Hays, M Heshmati, ... | | |
| NNPC 2023: Optimizing Gradient Accumulation in Spiking Neural Networks with AlphaGrad J Lohoff, E Neftci | | |
Emre NeftciInstitute Director, Forschungszentrum Jülich; Professor, RWTH AachenVerified email at fz-juelich.de