| GPUs outperform current HPC and neuromorphic solutions in terms of speed and energy when simulating a highly-connected cortical model JC Knight, T Nowotny Frontiers in neuroscience 12, 427264, 2018 | 92 | 2018 |
| An efficient SpiNNaker implementation of the neural engineering framework A Mundy, J Knight, TC Stewart, S Furber 2015 International Joint Conference on Neural Networks (IJCNN), 1-8, 2015 | 63 | 2015 |
| Larger GPU-accelerated brain simulations with procedural connectivity JC Knight, T Nowotny Nature Computational Science 1 (2), 136-142, 2021 | 56 | 2021 |
| PyGeNN: a Python library for GPU-enhanced neural networks JC Knight, A Komissarov, T Nowotny Frontiers in Neuroinformatics 15, 659005, 2021 | 40 | 2021 |
| Neuromodulated synaptic plasticity on the SpiNNaker neuromorphic system M Mikaitis, G Pineda García, JC Knight, SB Furber Frontiers in neuroscience 12, 317880, 2018 | 39 | 2018 |
| Recent advances in evolutionary and bio-inspired adaptive robotics: Exploiting embodied dynamics P Husbands, Y Shim, M Garvie, A Dewar, N Domcsek, P Graham, J Knight, ... Applied Intelligence 51 (9), 6467-6496, 2021 | 25 | 2021 |
| Synapse-centric mapping of cortical models to the SpiNNaker neuromorphic architecture JC Knight, SB Furber Frontiers in neuroscience 10, 213660, 2016 | 24 | 2016 |
| Efficient SpiNNaker simulation of a heteroassociative memory using the Neural Engineering Framework J Knight, AR Voelker, A Mundy, C Eliasmith, S Furber 2016 International Joint Conference on Neural Networks (IJCNN), 5210-5217, 2016 | 24 | 2016 |
| Large-scale simulations of plastic neural networks on neuromorphic hardware JC Knight, PJ Tully, BA Kaplan, A Lansner, SB Furber Frontiers in neuroanatomy 10, 37, 2016 | 24 | 2016 |
| Event-based computation for touch localization based on precise spike timing G Haessig, MB Milde, PV Aceituno, O Oubari, JC Knight, A Van Schaik, ... Frontiers in neuroscience 14, 520495, 2020 | 23 | 2020 |
| Insect-inspired visual navigation on-board an autonomous robot: Real-world routes encoded in a single layer network JC Knight, D Sakhapov, N Domcsek, ADM Dewar, P Graham, T Nowotny, ... Artificial Life Conference Proceedings, 60-67, 2019 | 16 | 2019 |
| Neurobench: Advancing neuromorphic computing through collaborative, fair and representative benchmarking J Yik, SH Ahmed, Z Ahmed, B Anderson, AG Andreou, C Bartolozzi, ... arXiv preprint arXiv:2304.04640, 2023 | 11 | 2023 |
| Insect inspired view based navigation exploiting temporal information E Kagioulis, A Philippides, P Graham, JC Knight, T Nowotny Conference on Biomimetic and Biohybrid Systems, 204-216, 2020 | 9 | 2020 |
| Efficient GPU training of LSNNs using eProp JC Knight, T Nowotny Proceedings of the 2022 Annual Neuro-Inspired Computational Elements …, 2022 | 8 | 2022 |
| 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 |
| sPyNNaker 3.0. 0 AB Stokes, AGD Rowley, J Knight, DR Lester, A Rast, MW Hopkins See https://github. com/SpiNNakerManchester/sPyNNaker/releases/tag/3.0. 0, 2016 | 5 | 2016 |
| Plasticity in large-scale neuromorphic models of the neocortex JC Knight PQDT-UK & Ireland, 2017 | 4 | 2017 |
| Easy and efficient spike-based Machine Learning with mlGeNN JC Knight, T Nowotny Proceedings of the 2023 Annual Neuro-Inspired Computational Elements …, 2023 | 2 | 2023 |
| Neuroscience, computing, performance, and benchmarks: Why it matters to neuroscience how fast we can compute JB Aimone, O Awile, M Diesmann, JC Knight, T Nowotny, F Schürmann Frontiers in Neuroinformatics 17, 1157418, 2023 | 1 | 2023 |
