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John Arthur
John Arthur
IBM research, Stanford University, University of Pennsylvania
Verified email at us.ibm.com - Homepage
Title
Cited by
Cited by
Year
A million spiking-neuron integrated circuit with a scalable communication network and interface
PA Merolla, JV Arthur, R Alvarez-Icaza, AS Cassidy, J Sawada, ...
Science 345 (6197), 668-673, 2014
40612014
Neuromorphic silicon neuron circuits
G Indiveri, B Linares-Barranco, TJ Hamilton, A Van Schaik, ...
Frontiers in neuroscience 5, 9202, 2011
14982011
Truenorth: Design and tool flow of a 65 mw 1 million neuron programmable neurosynaptic chip
F Akopyan, J Sawada, A Cassidy, R Alvarez-Icaza, J Arthur, P Merolla, ...
IEEE transactions on computer-aided design of integrated circuits and …, 2015
14602015
Neurogrid: A mixed-analog-digital multichip system for large-scale neural simulations
BV Benjamin, P Gao, E McQuinn, S Choudhary, AR Chandrasekaran, ...
Proceedings of the IEEE 102 (5), 699-716, 2014
13422014
Convolutional networks for fast, energy-efficient neuromorphic computing
MDFDSM Steven K. Esser, Paul A. Merolla, John V. Arthur, Andrew S. Cassidy ...
Proceedings of the National Academy of Science 113 (41), 11441-11446, 2016
1177*2016
Backpropagation for energy-efficient neuromorphic computing
SK Esser, R Appuswamy, P Merolla, JV Arthur, DS Modha
Advances in Neural Information Processing Systems, 1117-1125, 2015
11462015
A digital neurosynaptic core using embedded crossbar memory with 45pJ per spike in 45nm
P Merolla, J Arthur, F Akopyan, N Imam, R Manohar, DS Modha
2011 IEEE custom integrated circuits conference (CICC), 1-4, 2011
5862011
Cognitive computing building block: A versatile and efficient digital neuron model for neurosynaptic cores
AS Cassidy, P Merolla, JV Arthur, SK Esser, B Jackson, R Alvarez-Icaza, ...
Neural Networks (IJCNN), The 2013 International Joint Conference on, 1-10, 2013
3492013
Cognitive computing systems: Algorithms and applications for networks of neurosynaptic cores
SK Esser, A Andreopoulos, R Appuswamy, P Datta, D Barch, A Amir, ...
The 2013 International Joint Conference on Neural Networks (IJCNN), 1-10, 2013
2012013
TrueNorth: Accelerating from zero to 64 million neurons in 10 years
MV DeBole, B Taba, A Amir, F Akopyan, A Andreopoulos, WP Risk, ...
Computer 52 (5), 20-29, 2019
2002019
Building block of a programmable neuromorphic substrate: A digital neurosynaptic core
JV Arthur, PA Merolla, F Akopyan, R Alvarez, A Cassidy, S Chandra, ...
the 2012 international joint conference on Neural networks (IJCNN), 1-8, 2012
1982012
Learning in silicon: Timing is everything
JV Arthur, K Boahen
Advances in neural information processing systems 18, 2005
1782005
Neuromorphic event-driven neural computing architecture in a scalable neural network
F Akopyan, JV Arthur, R Manohar, PA Merolla, DS Modha, A Molnar, ...
US Patent 8,909,576, 2014
1682014
Expandable networks for neuromorphic chips
PA Merolla, JV Arthur, BE Shi, KA Boahen
IEEE Transactions on Circuits and Systems I: Regular Papers 54 (2), 301-311, 2007
1562007
Deep neural networks are robust to weight binarization and other non-linear distortions
P Merolla, R Appuswamy, J Arthur, SK Esser, D Modha
arXiv preprint arXiv:1606.01981, 2016
1502016
Neuromorphic implementation of orientation hypercolumns
TYW Choi, PA Merolla, JV Arthur, KA Boahen, BE Shi
IEEE Transactions on Circuits and Systems I: Regular Papers 52 (6), 1049-1060, 2005
1502005
Silicon-neuron design: A dynamical systems approach
JV Arthur, KA Boahen
IEEE Transactions on Circuits and Systems I: Regular Papers 58 (5), 1034-1043, 2010
1362010
Dielectric elastomer fiber transducers
RAI Rivera, JMA Sanches, KC Galloway, HS Katzenberg, R Kothari, ...
US Patent 7,834,527, 2010
1022010
Real-time scalable cortical computing at 46 giga-synaptic OPS/watt with~ 100× speedup in time-to-solution and~ 100,000× reduction in energy-to-solution
AS Cassidy, R Alvarez-Icaza, F Akopyan, J Sawada, JV Arthur, ...
SC'14: Proceedings of the International Conference for High Performance …, 2014
982014
Discovering low-precision networks close to full-precision networks for efficient embedded inference
JL McKinstry, SK Esser, R Appuswamy, D Bablani, JV Arthur, IB Yildiz, ...
arXiv preprint arXiv:1809.04191, 2018
972018
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