Keystroke dynamics in the pre-touchscreen era N Ahmad, A Szymkowiak, PA Campbell Frontiers in human neuroscience 7, 835, 2013 | 20 | 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 | 14 | 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 | 14 | 2018 |
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 | 13 | 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 bioRxiv, 2021 | 8 | 2021 |
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 |
Spike: a GPU optimised spiking neural network simulator N Ahmad, JB Isbister, TSC Smithe, SM Stringer bioRxiv, 461160, 2018 | 6 | 2018 |
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 | | 2022 |
Optimization of Neuroprosthetic Vision via End-to-end Deep Reinforcement Learning B Küçükoğlu, B Rueckauer, N Ahmad, JR van Steveninck, U Güçlü, ... bioRxiv, 2022 | | 2022 |
P4O: Efficient Deep Reinforcement Learning with Predictive Processing Proximal Policy Optimization B Küçükoğlu, W Borkent, B Rueckauer, N Ahmad, U Güçlü, M van Gerven | | 2021 |
Brain-inspired learning drives advances in neuromorphic computing N Ahmad, B Rueckauer, M van Gerven ERCIM News, 24-25, 2021 | | 2021 |
Scaling up learning with GAIT-prop S Dalm, N Ahmad, L Ambrogioni, M van Gerven arXiv preprint arXiv:2102.11598, 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 |