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Mobile and embedded applications require neural networks-based pattern recognition systems to perform well under a tight computational budget.
Y. LeCun, L. Bottou, Y. Bengio, and P. Haffner, “Gradient-based learning applied to document recognition,”
1998
Earlier work this paper cites.
G. Bradski, “The OpenCV Library,”
2000
Earlier work this paper cites.
W. Maass and H. Markram, “On the computational power of circuits of spiking neurons,”
2004
Earlier work this paper cites.
A. N. Burkitt, “A review of the integrate-and-fire neuron model: I. homogeneous synaptic input,”
2006
Earlier work this paper cites.
P. Lichtsteiner, C. Posch, and T. Delbruck, “A 128
2008
Earlier work this paper cites.
G. Indiveri, E. Chicca, and R. J. Douglas, “Artificial Cognitive Systems: From VLSI Networks of Spiking Neurons to Neuromorphic Cognition,”
2009
Earlier work this paper cites.
C. Posch, D. Matolin, and R. Wohlgenannt, “A qvga 143 db dynamic range frame-free pwm image sensor with lossless pixel-level video compression and time-domain cds,”
2011
Earlier work this paper cites.
S. B. Furber, D. R. Lester, L. A. Plana, J. D. Garside, E. Painkras, S. Temple, and A. D. Brown, “Overview of the spinnaker system architecture,”
2013
Earlier work this paper cites.
C. Brandli, R. Berner, M. Yang, S.-C. Liu, and T. Delbruck, “A 240
2014
Earlier work this paper cites.
P. A. Merolla, J. V. Arthur, R. Alvarez-Icaza, A. S. Cassidy, J. Sawada, F. Akopyan, B. L. Jackson, N. Imam, C. Guo, Y. Nakamura
2014
Cited alongside, same era.
H. Martin and J. Conradt, “Spiking neural networks for vision tasks,” 2015
2015
Cited alongside, same era.
G. Indiveri, F. Corradi, and N. Qiao, “Neuromorphic Architectures for Spiking Deep Neural Networks,” pp. 68–71, 2015
2015
Cited alongside, same era.
N. Qiao, H. Mostafa, F. Corradi, M. Osswald, D. Sumislawska, G. Indiveri, and G. Indiveri, “A Re-configurable On-line Learning Spiking Neuromorphic Processor comprising 256 neurons and 128K synapses,”
2015
Cited alongside, same era.
F. Chollet
2015
Cited alongside, same era.
P. U. Diehl, G. Zarrella, A. Cassidy, B. U. Pedroni, and E. Neftci, “Conversion of artificial recurrent neural networks to spiking neural networks for low-power neuromorphic hardware,” in
2016
Later among the works it cites.
2016
Later among the works it cites.
D. Falanga, E. Mueggler, M. Faessler, and D. Scaramuzza, “Aggressive quadrotor flight through narrow gaps with onboard sensing and computing using active vision,”
2017
Later among the works it cites.
E. Mueggler, H. Rebecq, G. Gallego, T. Delbruck, and D. Scaramuzza, “The event-camera dataset and simulator: Event-based data for pose estimation, visual odometry, and SLAM,”
2017
Later among the works it cites.
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P. U. Diehl, D. Neil, J. Binas, M. Cook, S.-C. Liu, and M. Pfeiffer, “Fast-classifying, high-accuracy spiking deep networks through weight and threshold balancing,” in
2015
Cited alongside, same era.
D. P. Moeys, F. Corradi, E. Kerr, P. Vance, G. Das, D. Neil, D. Kerr, and T. Delbrück, “Steering a predator robot using a mixed frame/event-driven convolutional neural network,” in
2016
Cited alongside, same era.
J. H. Lee, T. Delbruck, and M. Pfeiffer, “Training deep spiking neural networks using backpropagation,”
2016
Cited alongside, same era.
E. Neftci, C. Augustine, S. Paul, and G. Detorakis, “Neuromorphic deep learning machines,”
2016
Cited alongside, same era.
A. Amir, B. Taba, D. Berg, T. Melano, J. McKinstry, C. Di Nolfo, T. Nayak, A. Andreopoulos, G. Garreau, M. Mendoza
Cited in the paper.
INIlabs, “Aedat fileformat,”
Cited in the paper.
B. Rueckauer, “Spiking neural network conversion toolbox,”
Cited in the paper.
2017
Later among the works it cites.
E. O. Neftci, C. Augustine, S. Paul, and G. Detorakis, “Event-driven random back-propagation: Enabling neuromorphic deep learning machines,”
2017
Later among the works it cites.
B. Rueckauer, I.-A. Lungu, Y. Hu, M. Pfeiffer, and S.-C. Liu, “Conversion of Continuous-Valued Deep Networks to Efficient Event-Driven Networks for Image Classification,”
2017
Later among the works it cites.
E. Stromatias, M. Soto, T. Serrano-Gotarredona, and B. Linares-Barranco, “An event-driven classifier for spiking neural networks fed with synthetic or dynamic vision sensor data,”
2017
Later among the works it cites.