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
3442017
Learning the pseudoinverse solution to network weights
J Tapson, A van Schaik
Neural Networks 45, 94-100, 2013
842013
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
832008
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
632013
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
622015
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
522014
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
482010
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
412014
Online and adaptive pseudoinverse solutions for ELM weights
A van Schaik, J Tapson
Neurocomputing 149, 233-238, 2015
402015
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
372016
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
362016
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
332014
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
302017
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
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
232016
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
232015
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Articles 1–20