Jonathan Tapson
Jonathan Tapson
Professor, School of Computing, Engineering and Mathematics, Western Sydney University
Verified email at westernsydney.edu.au
TitleCited byYear
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
2162017
Learning the pseudoinverse solution to network weights
J Tapson, A van Schaik
Neural Networks 45, 94-100, 2013
792013
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
792008
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
582013
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
582013
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
572015
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
472014
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
442010
High power resonant tracking amplifier using admittance locking
B Mortimer, T Du Bruyn, J Davies, J Tapson
Ultrasonics 39 (4), 257-261, 2001
442001
Online and adaptive pseudoinverse solutions for ELM weights
A van Schaik, J Tapson
Neurocomputing 149, 233-238, 2015
372015
Extending the viability of acute brain slices
Y Buskila, PP Breen, J Tapson, A Van Schaik, M Barton, JW Morley
Scientific reports 4, 5309, 2014
372014
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 review of control strategies in closed-loop neuroprosthetic systems
J Wright, VG Macefield, A van Schaik, JC Tapson
Frontiers in neuroscience 10, 312, 2016
312016
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
312014
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
292016
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
252017
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
242015
Towards true unipolar bio-potential recording: a preliminary result for ECG
GD Gargiulo, AL McEwan, P Bifulco, M Cesarelli, C Jin, J Tapson, ...
Physiological measurement 34 (1), N1, 2012
232012
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
222015
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
202016
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