Hesham Mostafa
Hesham Mostafa
Postdoc, Institute of Neural Computation, UCSD
Verified email at ucsd.edu
TitleCited byYear
A reconfigurable on-line learning spiking neuromorphic processor comprising 256 neurons and 128K synapses
N Qiao, H Mostafa, F Corradi, M Osswald, F Stefanini, D Sumislawska, ...
Frontiers in neuroscience 9, 141, 2015
2672015
Supervised learning based on temporal coding in spiking neural networks
H Mostafa
IEEE transactions on neural networks and learning systems 29 (7), 3227-3235, 2017
632017
Nullhop: A flexible convolutional neural network accelerator based on sparse representations of feature maps
A Aimar, H Mostafa, E Calabrese, A Rios-Navarro, R Tapiador-Morales, ...
IEEE transactions on neural networks and learning systems 30 (3), 644-656, 2018
472018
Memristor for computing: Myth or reality?
S Hamdioui, S Kvatinsky, G Cauwenberghs, L Xie, N Wald, S Joshi, ...
Proceedings of the Conference on Design, Automation & Test in Europe, 722-731, 2017
322017
Implementation of a spike-based perceptron learning rule using TiO2− x memristors
H Mostafa, A Khiat, A Serb, CG Mayr, G Indiveri, T Prodromakis
Frontiers in neuroscience 9, 357, 2015
322015
An event-based architecture for solving constraint satisfaction problems
H Mostafa, LK Müller, G Indiveri
Nature communications 6, 8941, 2015
202015
Surrogate gradient learning in spiking neural networks
EO Neftci, H Mostafa, F Zenke
arXiv preprint arXiv:1901.09948, 2019
172019
Deep supervised learning using local errors
H Mostafa, V Ramesh, G Cauwenberghs
Frontiers in neuroscience 12, 608, 2018
152018
Motor vehicle tire with low rolling resistance
A Serra, A Amaddeo, L Garro, MN Nanni
US Patent 7,150,301, 2006
142006
Beyond spike-timing dependent plasticity in memristor crossbar arrays
H Mostafa, C Mayr, G Indiveri
2016 IEEE International Symposium on Circuits and Systems (ISCAS), 926-929, 2016
122016
A hybrid analog/digital spike-timing dependent plasticity learning circuit for neuromorphic VLSI multi-neuron architectures
H Mostafa, F Corradi, F Stefanini, G Indiveri
2014 IEEE International Symposium on Circuits and Systems (ISCAS), 854-857, 2014
122014
Fast classification using sparsely active spiking networks
H Mostafa, BU Pedroni, S Sheik, G Cauwenberghs
2017 IEEE International Symposium on Circuits and Systems (ISCAS), 1-4, 2017
112017
Rhythmic inhibition allows neural networks to search for maximally consistent states
H Mostafa, LK Müller, G Indiveri
Neural computation 27 (12), 2510-2547, 2015
102015
Synaptic plasticity dynamics for deep continuous local learning
J Kaiser, H Mostafa, E Neftci
arXiv preprint arXiv:1811.10766, 2018
92018
A re-configurable on-line learning spiking neuromorphic processor
Q Ning, H Mostafa, F Corradi, M Osswald, F Stefanini, D Sumislawska, ...
Front. Neurosci 9 (141), 10.3389, 2015
92015
Sequential activity in asymmetrically coupled winner-take-all circuits
H Mostafa, G Indiveri
Neural computation 26 (9), 1973-2004, 2014
82014
Recurrent networks of coupled winner-take-all oscillators for solving constraint satisfaction problems
H Mostafa, LK Müller, G Indiveri
Advances in neural information processing systems, 719-727, 2013
72013
Parameter efficient training of deep convolutional neural networks by dynamic sparse reparameterization
H Mostafa, X Wang
arXiv preprint arXiv:1902.05967, 2019
62019
Hardware-efficient on-line learning through pipelined truncated-error backpropagation in binary-state networks
H Mostafa, B Pedroni, S Sheik, G Cauwenberghs
Frontiers in neuroscience 11, 496, 2017
62017
Spike-driven threshold-based learning with memristive synapses and neuromorphic silicon neurons
E Covi, R George, J Frascaroli, S Brivio, C Mayr, H Mostafa, G Indiveri, ...
Journal of Physics D: Applied Physics 51 (34), 344003, 2018
52018
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