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Spiking neural networks (SNNs) are good candidates to produce ultra-energy-efficient hardware.
Synaptic modifications in cultured hippocampal neurons: dependence on spike timing, synaptic strength, and postsynaptic cell type
Guo-Giang Bi and Mu-Ming Poo · 1998
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Gradient-based learning applied to document recognition
Yann LeCun, Léon Bottou, Yoshua Bengio, and Patrick Haffner · 1998
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Networks of integrate-and-fire neurons using rank order coding b: Spike timing dependent plasticity and emergence of orientation selectivity
Arnaud Delorme, Laurent Perrinet, and Simon J. Thorpe · 2001
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Spike-based strategies for rapid processing
Simon Thorpe, Arnaud Delorme, and Rufin Van Rullen · 2001
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Error-backpropagation in temporally encoded networks of spiking neurons
Sander M. Bohte, Joost N. Kok, and Han La Poutre · 2002
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Non-negative matrix factorization with sparseness constraints
Patrik O. Hoyer · 2004
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Scaling up machine learning: Parallel and distributed approaches
Ron Bekkerman, Mikhail Bilenko, and John Langford · 2011
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Unsupervised features extraction from asynchronous silicon retina through spike-timing-dependent plasticity
Olivier Bichler, Damien Querlioz, Simon J. Thorpe, Jean-Philippe Bourgoin, and Christian Gamrat · 2011
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Simulation of a memristor-based spiking neural network immune to device variations
Damien Querlioz, Olivier Bichler, and Christian Gamrat · 2011
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Computing with spiking neuron networks
Hélene Paugam-Moisy and Sander Bohte · 2012
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Biologically plausible models of homeostasis and STDP: stability and learning in spiking neural networks
Kristofor D. Carlson, Micah Richert, Nikil Dutt, and Jeffrey L. Krichmar · 2013
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A million spiking-neuron integrated circuit with a scalable communication network and interface
Paul A. Merolla, John V. Arthur, Rodrigo Alvarez-Icaza, Andrew S. Cassidy, Jun Sawada, Filipp Akopyan, Bryan L. Jackson, Nabil Imam, Chen Guo, Yutaka Nakamura, et al · 2014
Cited alongside, same era.
On the number of linear regions of deep neural networks
Guido Montúfar, Razvan Pascanu, Kyunghyun Cho, and Yoshua Bengio · 2014
Cited alongside, same era.
Towards biologically plausible deep learning
Yoshua Bengio, Dong-Hyun Lee, Jorg Bornschein, Thomas Mesnard, and Zhouhan Lin · 2015
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Philosophy of the spike: rate-based vs. spike-based theories of the brain
Romain Brette · 2015
Cited alongside, same era.
Spiking deep convolutional neural networks for energy-efficient object recognition
Yongqiang Cao, Yang Chen, and Deepak Khosla · 2015
Cited alongside, same era.
Spiking deep convolutional neural networks for energy-efficient object recognition
Bio-inspired spiking convolutional neural network using layer-wise sparse coding and STDP learning
Amirhossein Tavanaei and Anthony S. Maida · 2016
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Temporally efficient deep learning with spikes
Peter O’Connor, Efstratios Gavves, and Max Welling · 2017
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Mastering the game of go without human knowledge
David Silver, Julian Schrittwieser, Karen Simonyan, Ioannis Antonoglou, Aja Huang, Arthur Guez, Thomas Hubert, Lucas Baker, Matthew Lai, Adrian Bolton, et al · 2017
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A 4-fj/spike artificial neuron in 65 nm CMOS technology
Ilias Sourikopoulos, Sara Hedayat, Christophe Loyez, François Danneville, Virginie Hoel, Eric Mercier, and Alain Cappy · 2017
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Mastering the output frequency in spiking neural networks
Pierre Falez, Pierre Tirilly, Ioan Marius Bilasco, Philippe Devienne, and Pierre Boulet · 2018
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Yongqiang Cao, Yang Chen, and Deepak Khosla · 2015
Cited alongside, same era.
Unsupervised learning of digit recognition using spike-timing-dependent plasticity
Peter U. Diehl and Matthew Cook · 2015
Cited alongside, same era.
Fast-classifying, high-accuracy spiking deep networks through weight and threshold balancing
Peter U. Diehl, Daniel Neil, Jonathan Binas, Matthew Cook, Shih-Chii Liu, and Michael Pfeiffer · 2015
Cited alongside, same era.
Delving deep into rectifiers: Surpassing human-level performance on imagenet classification
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2015
Cited alongside, same era.
Deep learning
Yann LeCun, Yoshua Bengio, and Geoffrey Hinton · 2015
Cited alongside, same era.
Quantized neural networks: Training neural networks with low precision weights and activations
Itay Hubara, Matthieu Courbariaux, Daniel Soudry, Ran El-Yaniv, and Yoshua Bengio · 2018
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STDP-based spiking deep convolutional neural networks for object recognition
Saeed Reza Kheradpisheh, Mohammad Ganjtabesh, Simon J. Thorpe, and Timothée Masquelier · 2018
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First-spike-based visual categorization using reward-modulated STDP
Milad Mozafari, Saeed Reza Kheradpisheh, Timothée Masquelier, Abbas Nowzari-Dalini, and Mohammad Ganjtabesh · 2018
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Deep Learning Processor List, Accessed on 11/7/2018
Shan Tang · 2018
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Pierre Falez, Pierre Tirilly, Ioan Marius Bilasco, Philippe Devienne, and Pierre Boulet · 2019
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