| GeNN: a code generation framework for accelerated brain simulations E Yavuz, J Turner, T Nowotny Scientific reports 6 (1), 18854, 2016 | 170 | 2016 |
| Simulating spiking neural networks on massively parallel graphical processing units using a code generation approach with GeNN E Yavuz, J Turner, T Nowotny BMC neuroscience 15 (Suppl 1), O1, 2014 | 19 | 2014 |
| Estimating numerical error in neural network simulations on Graphics Processing Units JP Turner, T Nowotny BMC Neuroscience 16 (1), 1-2, 2015 | 9 | 2015 |
| Loss shaping enhances exact gradient learning with eventprop in spiking neural networks T Nowotny, JP Turner, JC Knight arXiv preprint arXiv:2212.01232, 2022 | 7 | 2022 |
| mlGeNN: accelerating SNN inference using GPU-enabled neural networks JP Turner, JC Knight, A Subramanian, T Nowotny Neuromorphic Computing and Engineering 2 (2), 024002, 2022 | 6 | 2022 |
| Arpra: An arbitrary precision range analysis library JP Turner, T Nowotny Frontiers in Neuroinformatics 15, 632729, 2021 | 3 | 2021 |
| Analysing and Bounding Numerical Error in Spiking Neural Network Simulations JP Turner University of Sussex, 2020 | 1 | 2020 |
| Event-based dataset for classification and pose estimation J Turner, J Pedersen, J Conradt, T Nowotny Proceedings of the 2022 Annual Neuro-Inspired Computational Elements …, 2022 | | 2022 |
| More flexibility for code generation with GeNN v2. 1 T Nowotny, J Turner, E Yavuz BMC Neuroscience 16 (Suppl 1), P291, 2015 | | 2015 |
| 1 GeNN Documentation J Knight, J Turner, E Yavuz, T Nowotny | | |
| Easy-to-use GPU acceleration of neural network simulations with GeNN JP Turner, E Yavuz, T Nowotny | | |
| 1 GeNN Documentation J Turner, E Yavuz, T Nowotny | | |
Thomas NowotnyProfessor of Informatics, University of SussexAdresse e-mail validée de sussex.ac.uk
