| Gait-prop: A biologically plausible learning rule derived from backpropagation of error N Ahmad, MA van Gerven, L Ambrogioni Advances in Neural Information Processing Systems 33, 10913-10923, 2020 | 29 | 2020 |
| Predictive coding is a consequence of energy efficiency in recurrent neural networks A Ali, N Ahmad, E de Groot, MAJ van Gerven, TC Kietzmann Patterns 3 (12), 2022 | 27 | 2022 |
| Keystroke dynamics in the pre-touchscreen era N Ahmad, A Szymkowiak, PA Campbell Frontiers in human neuroscience 7, 835, 2013 | 25 | 2013 |
| A new approach to solving the feature-binding problem in primate vision JB Isbister, A Eguchi, N Ahmad, JM Galeazzi, MJ Buckley, S Stringer Interface focus 8 (4), 20180021, 2018 | 24 | 2018 |
| The emergence of polychronization and feature binding in a spiking neural network model of the primate ventral visual system. A Eguchi, JB Isbister, N Ahmad, S Stringer Psychological review 125 (4), 545, 2018 | 20 | 2018 |
| Optimization of neuroprosthetic vision via end-to-end deep reinforcement learning B Küçükoğlu, B Rueckauer, N Ahmad, JR van Steveninck, U Güçlü, ... International Journal of Neural Systems 32 (11), 2250052, 2022 | 11 | 2022 |
| Spike: A GPU optimised spiking neural network simulator N Ahmad, JB Isbister, TSC Smithe, SM Stringer bioRxiv, 461160, 2018 | 8 | 2018 |
| Harmonic training and the formation of pitch representation in a neural network model of the auditory brain N Ahmad, I Higgins, KMM Walker, SM Stringer Frontiers in computational neuroscience 10, 24, 2016 | 7 | 2016 |
| Overcoming the weight transport problem via spike-timing-dependent weight inference N Ahmad, L Ambrogioni, MAJ van Gerven arXiv preprint arXiv:2003.03988, 2020 | 3* | 2020 |
| Constrained parameter inference as a principle for learning N Ahmad, E Schrader, M van Gerven arXiv preprint arXiv:2203.13203, 2022 | 2 | 2022 |
| Gradient-adjusted incremental target propagation provides effective credit assignment in deep neural networks S Dalm, N Ahmad, L Ambrogioni, MAJ van Gerven | 1 | 2023 |
| Effective Learning with Node Perturbation in Deep Neural Networks S Dalm, M van Gerven, N Ahmad arXiv preprint arXiv:2310.00965, 2023 | | 2023 |
| Efficient Deep Reinforcement Learning with Predictive Processing Proximal Policy Optimization B Küçükoğlu, W Borkent, B Rueckauer, N Ahmad, U Güçlü, M van Gerven arXiv preprint arXiv:2211.06236, 2022 | | 2022 |
| Talk session 20. Computational Modelling Predictive coding is a consequence of energy efficiency in neural networks A Ali, N Ahmad, E de Groot, M van Gerven, T Kietzmann PERCEPTION, 2022 | | 2022 |
| Biologically Plausible Learning using GAIT-prop Scales to ImageNet S Dalm, N Ahmad, L Ambrogioni, M van Gerven arXiv preprint arXiv:2102.11598, 2021 | | 2021 |
| Brain-inspired learning drives advances in neuromorphic computing N Ahmad, B Rueckauer, M van Gerven ERCIM News 2021 (125), 24-25, 2021 | | 2021 |
| Scaling up learning with GAIT-prop. S Dalm, N Ahmad, L Ambrogioni, M van Gerven CoRR, 2021 | | 2021 |
| Competitive learning in rate coded and spiking neural networks models with applications to vision and audition N Ahmad University of Oxford, 2019 | | 2019 |
| Optimization of Neuroprosthetic Vision via End-to-end Deep Reinforcement Learning BKB Rueckauer, N Ahmad, JR van Steveninck, UGM van Gerven | | |
