Nasir Ahmad
Title
Cited by
Cited by
Year
Keystroke dynamics in the pre-touchscreen era
N Ahmad, A Szymkowiak, P Campbell
Frontiers in human neuroscience 7, 835, 2013
172013
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
132018
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
132018
Gait-prop: A biologically plausible learning rule derived from backpropagation of error
N Ahmad, MAJ van Gerven, L Ambrogioni
arXiv preprint arXiv:2006.06438, 2020
82020
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
62016
Spike: A gpu optimised spiking neural network simulator
N Ahmad, JB Isbister, TSC Smithe, SM Stringer
bioRxiv, 461160, 2018
42018
Overcoming the Weight Transport Problem via Spike-Timing-Dependent Weight Inference
N Ahmad, L Ambrogioni, MAJ van Gerven
arXiv preprint arXiv:2003.03988, 2020
12020
Spike-timing-dependent inference of synaptic weights
N Ahmad, L Ambrogioni, MAJ van Gerven
12020
Scaling up learning with GAIT-prop
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
Brain-inspired Computing, 24, 2021
2021
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
2021
Competitive learning in rate coded and spiking neural networks models with applications to vision and audition
N Ahmad
University of Oxford, 2019
2019
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Articles 1–12