Jonathan Tapson
Jonathan Tapson
Chief Scientific Officer at GrAI Matter Labs
Verified email at graimatterlabs.ai
Title
Cited by
Cited by
Year
EMNIST: Extending MNIST to handwritten letters
G Cohen, S Afshar, J Tapson, A Van Schaik
2017 International Joint Conference on Neural Networks (IJCNN), 2921-2926, 2017
4142017
Learning the pseudoinverse solution to network weights
J Tapson, A van Schaik
Neural Networks 45, 94-100, 2013
862013
An active 2-D silicon cochlea
TJ Hamilton, C Jin, A Van Schaik, J Tapson
Biomedical Circuits and Systems, IEEE Transactions on 2 (1), 30-43, 2008
852008
Fast, simple and accurate handwritten digit classification by training shallow neural network classifiers with the ‘extreme learning machine’algorithm
MD McDonnell, MD Tissera, T Vladusich, A van Schaik, J Tapson
PloS one 10 (8), e0134254, 2015
652015
Synthesis of neural networks for spatio-temporal spike pattern recognition and processing
JC Tapson, GK Cohen, S Afshar, KM Stiefel, Y Buskila, TJ Hamilton, ...
Frontiers in neuroscience 7, 153, 2013
642013
An FPGA implementation of a polychronous spiking neural network with delay adaptation
RM Wang, G Cohen, KM Stiefel, TJ Hamilton, JC Tapson, A van Schaik
Frontiers in neuroscience 7, 14, 2013
642013
High power resonant tracking amplifier using admittance locking
B Mortimer, T Du Bruyn, J Davies, J Tapson
Ultrasonics 39 (4), 257-261, 2001
542001
Stochastic electronics: A neuro-inspired design paradigm for integrated circuits
TJ Hamilton, S Afshar, A van Schaik, J Tapson
Proceedings of the IEEE 102 (5), 843-859, 2014
532014
Optimization methods for spiking neurons and networks
A Russell, G Orchard, Y Dong, S Mihalas, E Niebur, J Tapson, ...
Neural Networks, IEEE Transactions on 21 (12), 1950-1962, 2010
502010
Extending the viability of acute brain slices
Y Buskila, PP Breen, J Tapson, A Van Schaik, M Barton, JW Morley
Scientific reports 4 (1), 1-7, 2014
462014
Online and adaptive pseudoinverse solutions for ELM weights
A van Schaik, J Tapson
Neurocomputing 149, 233-238, 2015
412015
Skimming digits: neuromorphic classification of spike-encoded images
GK Cohen, G Orchard, SH Leng, J Tapson, RB Benosman, A Van Schaik
Frontiers in neuroscience 10, 184, 2016
392016
A review of control strategies in closed-loop neuroprosthetic systems
J Wright, VG Macefield, A van Schaik, JC Tapson
Frontiers in neuroscience 10, 312, 2016
372016
An FPGA design framework for large-scale spiking neural networks
R Wang, TJ Hamilton, J Tapson, A van Schaik
2014 IEEE International Symposium on Circuits and Systems (ISCAS), 457-460, 2014
352014
A mixed-signal implementation of a polychronous spiking neural network with delay adaptation
RM Wang, TJ Hamilton, J Tapson, A van Schaik
Frontiers in neuroscience 8, 51, 2014
342014
Neuromorphic hardware architecture using the neural engineering framework for pattern recognition
R Wang, CS Thakur, G Cohen, TJ Hamilton, J Tapson, A van Schaik
IEEE transactions on biomedical circuits and systems 11 (3), 574-584, 2017
312017
A neuromorphic implementation of multiple spike-timing synaptic plasticity rules for large-scale neural networks
RM Wang, TJ Hamilton, JC Tapson, A van Schaik
Frontiers in neuroscience 9, 180, 2015
262015
A neuromorphic hardware framework based on population coding
CS Thakur, TJ Hamilton, R Wang, J Tapson, A van Schaik
2015 International Joint Conference on Neural Networks (IJCNN), 1-8, 2015
252015
Explicit computation of input weights in extreme learning machines
J Tapson, P De Chazal, A van Schaik
Proceedings of ELM-2014 Volume 1, 41-49, 2015
252015
Bayesian estimation and inference using stochastic electronics
CS Thakur, S Afshar, RM Wang, TJ Hamilton, J Tapson, A Van Schaik
Frontiers in neuroscience 10, 104, 2016
242016
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