Large-scale neuromorphic spiking array processors: A quest to mimic the brain CS Thakur, JL Molin, G Cauwenberghs, G Indiveri, K Kumar, N Qiao, ... Frontiers in neuroscience 12, 891, 2018 | 299 | 2018 |
Synthesis of neural networks for spatio-temporal spike pattern recognition and processing J Tapson, G Cohen, S Afshar, K Stiefel, Y Buskila, R Wang, TJ Hamilton, ... Frontiers in Neuroscience 7, 1-13, 2013 | 103 | 2013 |
An FPGA implementation of a polychronous spiking neural network with delay adaptation R Wang, G Cohen, KM Stiefel, TJ Hamilton, J Tapson, A van Schaik Frontiers in Neuroscience 7, 1-14, 2013 | 86 | 2013 |
An FPGA-based massively parallel neuromorphic cortex simulator RM Wang, CS Thakur, A Van Schaik Frontiers in neuroscience 12, 213, 2018 | 63 | 2018 |
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 | 59 | 2017 |
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 | 51 | 2014 |
A FPGA implementation of the CAR-FAC cochlear model Y Xu, CS Thakur, RK Singh, TJ Hamilton, RM Wang, A Van Schaik Frontiers in neuroscience 12, 198, 2018 | 43 | 2018 |
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 | 43 | 2015 |
A mixed-signal implementation of a polychronous spiking neural network with delay adaptation RM Wang, TJ Hamilton, JC Tapson, A van Schaik Frontiers in Neuroscience 8, 1-14, 2014 | 41 | 2014 |
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 | 39 | 2016 |
A low power trainable neuromorphic integrated circuit that is tolerant to device mismatch CS Thakur, R Wang, TJ Hamilton, J Tapson, A van Schaik IEEE Transactions on Circuits and Systems I: Regular Papers 63 (2), 211-221, 2016 | 34 | 2016 |
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 | 28 | 2015 |
A programmable axonal propagation delay circuit for time-delay spiking neural networks R Wang, C Jin, A McEwan, A van Schaik 2011 IEEE International Symposium of Circuits and Systems (ISCAS), 869-872, 2011 | 27 | 2011 |
Breaking Liebig’s law: An advanced multipurpose neuromorphic engine R Wang, A van Schaik Frontiers in neuroscience 12, 593, 2018 | 23 | 2018 |
An analogue neuromorphic co-processor that utilizes device mismatch for learning applications CS Thakur, R Wang, TJ Hamilton, R Etienne-Cummings, J Tapson, ... IEEE Transactions on Circuits and Systems I: Regular Papers 65 (4), 1174-1184, 2017 | 22 | 2017 |
Sound stream segregation: a neuromorphic approach to solve the “cocktail party problem” in real-time CS Thakur, RM Wang, S Afshar, TJ Hamilton, JC Tapson, SA Shamma, ... Frontiers in neuroscience 9, 309, 2015 | 22 | 2015 |
Delay learning architectures for memory and classification S Hussain, A Basu, RM Wang, TJ Hamilton Neurocomputing 138, 14-26, 2014 | 21 | 2014 |
DELTRON: Neuromorphic architectures for delay based learning S Hussain, A Basu, RM Wang, T Julia Hamilton 2012 IEEE Asia Pacific Conference on Circuits and Systems, 304-307, 2012 | 20 | 2012 |
A binaural sound localization system using deep convolutional neural networks Y Xu, S Afshar, RK Singh, R Wang, A van Schaik, TJ Hamilton 2019 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2019 | 17 | 2019 |
A compact neural core for digital implementation of the Neural Engineering Framework R Wang, TJ Hamilton, J Tapson, A van Schaik 2014 IEEE Biomedical Circuits and Systems Conference (BioCAS) Proceedings …, 2014 | 16 | 2014 |