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Neuromorphic hardware equipped with learning capabilities can adapt to new, real-time data.
Spiking Neuron Models. Single Neurons, Populations, Plasticity
W. Gerstner and W. Kistler. 2002 · 2002
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Slow feature analysis: Unsupervised learning of invariances
Laurenz Wiskott and Terrence J Sejnowski. 2002 · 2002
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Spike-FlowNet: Event-based Optical Flow Estimation with Energy-Efficient Hybrid Neural Networks
Chankyu Lee, Adarsh Kumar Kosta, Alex Zihao Zhu, Kenneth Chaney, Kostas Daniilidis, and Kaushik Roy. 2020 · 2003
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A 128x128 120 dB 15 us Latency Asynchronous Temporal Contrast Vision Sensor
P. Lichtsteiner, C. Posch, and T. Delbruck. 2008 · 2007
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Neuromorphic sensory systems
S.-C. Liu and T. Delbruck. 2010 · 2010
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A QVGA 143 dB Dynamic Range Frame-Free PWM Image Sensor With Lossless Pixel-Level Video Compression and Time-Domain CDS
C. Posch, D. Matolin, and R. Wohlgenannt. 2011 · 2010
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Neuromorphic silicon neuron circuits
G. Indiveri, B. Linares-Barranco, T.J. Hamilton, A. van Schaik, R. Etienne-Cummings, T. Delbruck, S.-C. Liu, P. Dudek, P. Häfliger, S. Renaud, J. Schemmel, G. Cauwenberghs, J. Arthur, K. Hynna, F. Folowosele, S. Saighi, T. Serrano-Gotarredona, J. Wijekoon, Y. Wang, and K. Boahen. 2011 · 2011
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Auto-encoding variational bayes
Diederik P Kingma and Max Welling. 2013 · 2013
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A 240 × \times 180 130 db 3 μ \mu s latency global shutter spatiotemporal vision sensor
Christian Brandli, Raphael Berner, Minhao Yang, Shih-Chii Liu, and Tobi Delbruck. 2014 · 2014
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The spinnaker project
Steve B Furber, Francesco Galluppi, Sally Temple, Luis Plana, et al · 2014
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Neuronal dynamics: From single neurons to networks and models of cognition
Wulfram Gerstner, Werner M Kistler, Richard Naud, and Liam Paninski. 2014 · 2014
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Converting Static Image Datasets to Spiking Neuromorphic Datasets Using Saccades
Garrick Orchard, Ajinkya Jayawant, Gregory K. Cohen, and Nitish Thakor. 2015 · 2015
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HOTS: A Hierarchy of Event-Based Time-Surfaces for Pattern Recognition
X. Lagorce, G. Orchard, F. Galluppi, B. E. Shi, and R. B. Benosman. 2017 · 2016
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Autoencoding beyond pixels using a learned similarity metric (Proceedings of Machine Learning Research, Vol. 48) , Maria Florina Balcan and Kilian Q. Weinberger (Eds.). PMLR, New York, New York, USA, 1558–1566
Anders Boesen Lindbo Larsen, Søren Kaae Sønderby, Hugo Larochelle, and Ole Winther. 2016 · 2016
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A Low Power, Fully Event-Based Gesture Recognition System. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition . 7243–7252
Guillaume Bellec, Franz Scherr, Elias Hajek, Darjan Salaj, Robert Legenstein, and Wolfgang Maass. 2019 · 2019
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Guillermo Gallego, Tobi Delbruck, Garrick Orchard, Chiara Bartolozzi, Brian Taba, Andrea Censi, Stefan Leutenegger, Andrew Davison, Jörg Conradt, Kostas Daniilidis, et al · 2019
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ClusterGAN: Latent Space Clustering in Generative Adversarial Networks
Sudipto Mukherjee, Himanshu Asnani, Eugene Lin, and Sreeram Kannan. 2019 · 2019
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Surrogate Gradient Learning in Spiking Neural Networks: Bringing the Power of Gradient-Based Optimization to Spiking Neural Networks
E. O. Neftci, H. Mostafa, and F. Zenke. 2019 · 2019
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Arnon Amir, Brian Taba, David Berg, Timothy Melano, Jeffrey McKinstry, Carmelo Di Nolfo, Tapan Nayak, Alexander Andreopoulos, Guillaume Garreau, Marcela Mendoza, et al · 2017
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beta-VAE: Learning Basic Visual Concepts with a Constrained Variational Framework. In ICLR
I. Higgins, Loïc Matthey, A. Pal, C. Burgess, Xavier Glorot, M. Botvinick, S. Mohamed, and Alexander Lerchner. 2017 · 2017
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SuperSpike: Supervised learning in multi-layer spiking neural networks
Friedemann Zenke and Surya Ganguli. 2017 · 2017
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Isolating Sources of Disentanglement in Variational Autoencoders. In Advances in Neural Information Processing Systems , S. Bengio, H. Wallach, H. Larochelle, K. Grauman, N. Cesa-Bianchi, and R. Garnett (Eds.), Vol. 31. Curran Associates, Inc
Ricky T. Q. Chen, Xuechen Li, Roger B Grosse, and David K Duvenaud. 2018 · 2018
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Loihi: A Neuromorphic Manycore Processor with On-Chip Learning
M. Davies, N. Srinivasa, T. H. Lin, G. Chinya, P. Joshi, A. Lines, A. Wild, and H. Wang. 2018 · 2018
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SLAYER: Spike layer error reassignment in time. In Advances in Neural Information Processing Systems . 1412–1421
Sumit Bam Shrestha and Garrick Orchard. 2018 · 2018
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Zheng Ding, Yifan Xu, Weijian Xu, Gaurav Parmar, Yang Yang, Max Welling, and Zhuowen Tu. 2020 · 2020
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Event-based Vision: A Survey
G. Gallego, T. Delbruck, G. M. Orchard, C. Bartolozzi, B. Taba, A. Censi, S. Leutenegger, A. Davison, J. Conradt, K. Daniilidis, and D. Scaramuzza. 2020 · 2020
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Synaptic Plasticity Dynamics for Deep Continuous Local Learning (DECOLLE)
Jacques Kaiser, Hesham Mostafa, and Emre Neftci. 2020 · 2020
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Online Few-Shot Gesture Learning on a Neuromorphic Processor
K. Stewart, G. Orchard, S. B. Shrestha, and E. Neftci. 2020a · 2020
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Online Few-Shot Gesture Learning on a Neuromorphic Processor
K. Stewart, G. Orchard, S. B. Shrestha, and E. Neftci. 2020b · 2020
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Brain-Inspired Learning on Neuromorphic Substrates
F. Zenke and E. O. Neftci. 2021 · 2020
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