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Spiking Neural Networks (SNNs) are a promising paradigm for efficient event-driven processing of spatio-temporally sparse data streams.
Backpropagation Applied to Handwritten Zip Code Recognition
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A Million Spiking-Neuron Integrated Circuit With a Scalable Communication Network and Interface
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Unsupervised Learning of Digit Recognition Using Spike-Timing-Dependent Plasticity
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Backpropagation for Energy-Efficient Neuromorphic Computing. In Advances in Neural Information Processing Systems 28 (NIPS 2015) . Curran Associates, Inc., Montreal, Canada, 1–9
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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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Scalable Energy-Efficient, Low-Latency Implementations of Trained Spiking Deep Belief Networks on SpiNNaker. In Proceedings of the International Joint Conference on Neural Networks . IEEE, Killarney, Ireland, 1–8
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Convolutional Networks for Fast, Energy-Efficient Neuromorphic Computing
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Event-Driven Deep Neural Network Hardware System for Sensor Fusion. In Proceedings - IEEE International Symposium on Circuits and Systems . IEEE, Montreal, Canada, 2495–2498
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A Low Power, Fully Event-Based Gesture Recognition System. In 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) . IEEE, Honolulu, HI, USA, 7388–7397
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MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Andrew G Howard, Menglong Zhu, Bo Chen, Dmitry Kalenichenko, Weijun Wang, Tobias Weyand, Marco Andreetto, and Hartwig Adam. 2017 · 2017
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Fast Classification Using Sparsely Active Spiking Networks. In Proceedings - IEEE International Symposium on Circuits and Systems . IEEE, Baltimore, MD, USA, 1
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Conversion of Continuous-Valued Deep Networks to Efficient Event-Driven Networks for Image Classification
Bodo Rueckauer, Iulia-Alexandra Lungu, Yuhuang Hu, Michael Pfeiffer, and Shih-Chii Liu. 2017 · 2017
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Neuromorphic Hardware in the Loop: Training a Deep Spiking Network on the BrainScaleS Wafer-Scale System. In Proceedings of the International Joint Conference on Neural Networks . IEEE, Anchorage, Alaska, USA, 2227–2234
Sebastian Schmitt, Johann Klahn, Guillaume Bellec, Andreas Grubl, Maurice Guttler, Andreas Hartel, Stephan Hartmann, Dan Husmann, Kai Husmann, Sebastian Jeltsch, Vitali Karasenko, Mitja Kleider, Christoph Koke, Alexander Kononov, Christian Mauch, Eric Muller, Paul Muller, Johannes Partzsch, Mihai A Petrovici, Stefan Schiefer, Stefan Scholze, Vasilis Thanasoulis, Bernhard Vogginger, Robert Legenstein, Wolfgang Maass, Christian Mayr, Rene Schuffny, Johannes Schemmel, and Karlheinz Meier. 2017 · 2017
Survey and Benchmarking of Machine Learning Accelerators. In 2019 IEEE High Performance Extreme Computing Conference . IEEE, Waltham, MA, USA, 1–9
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SpiNNTools: The Execution Engine for the SpiNNaker Platform
Andrew G D Rowley, Christian Brenninkmeijer, Simon Davidson, Donal Fellows, Andrew Gait, David R Lester, Luis A Plana, Oliver Rhodes, Alan B Stokes, and Steve B Furber. 2019 · 2019
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Asynchronous Spiking Neurons, the Natural Key to Exploit Temporal Sparsity
Amirreza Yousefzadeh, Teresa Serrano-Gotarredona, Bernabe Linares-Barranco, Mina A Khoei, Sahar Hosseini, Priscila Holanda, Sam Leroux, Orlando Moreira, Jonathan Tapson, Bart Dhoedt, and Pieter Simoens. 2019 · 2019
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Efficient Computation in Adaptive Artificial Spiking Neural Networks
Davide Zambrano, Roeland Nusselder, H Steven Scholte, and Sander Bohte. 2019 · 2019
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What is the State of Neural Network Pruning?. In Proceedings of the 3rd MLSys Conference . MLSys, Austin, TX, USA, 1–17
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Cited alongside, same era.
Loihi: A Neuromorphic Manycore Processor with On-Chip Learning
Mike Davies, Narayan Srinivasa, Tsung Han Lin, Gautham Chinya, Yongqiang Cao, Sri Harsha Choday, Georgios Dimou, Prasad Joshi, Nabil Imam, Shweta Jain, Yuyun Liao, Chit Kwan Lin, Andrew Lines, Ruokun Liu, Deepak Mathaikutty, Steven McCoy, Arnab Paul, Jonathan Tse, Guruguhanathan Venkataramanan, Yi Hsin Weng, Andreas Wild, Yoonseok Yang, and Hong Wang. 2018 · 2018
Cited alongside, same era.
Programming Spiking Neural Networks on Intel’s Loihi
Chit Kwan Lin, Andreas Wild, Gautham N Chinya, Yongqiang Cao, Mike Davies, Daniel M Lavery, and Hong Wang. 2018 · 2018
Cited alongside, same era.
Supervised Learning Based on Temporal Coding in Spiking Neural Networks
Hesham Mostafa. 2018 · 2018
Cited alongside, same era.
Spynnaker: A Software Package for Running Pynn Simulations on Spinnaker
Oliver Rhodes, Petruţ A Bogdan, Christian Brenninkmeijer, Simon Davidson, Donal Fellows, Andrew Gait, David R Lester, Mantas Mikaitis, Luis A Plana, Andrew G D Rowley, Alan B Stokes, and Steve B Furber. 2018 · 2018
Cited alongside, same era.
Conversion of Analog to Spiking Neural Networks using Sparse Temporal Coding. In Proceedings - IEEE International Symposium on Circuits and Systems . IEEE, Florence, Italy, 8–12
Bodo Rueckauer and Shih Chii Liu. 2018 · 2018
Cited alongside, same era.
Slayer: Spike Layer Error Reassignment in Time. In Advances in Neural Information Processing Systems . Curran Associates, Inc., Montreal, Canada, 1412–1421
Sumit Bam Shrestha and Garrick Orchard. 2018 · 2018
Cited alongside, same era.
Benchmarking Keyword Spotting Efficiency on Neuromorphic Hardware. In Proceedings of the 7th Annual Neuro-inspired Computational Elements Workshop (Albany, NY, USA) (NICE ’19, Article 1) . Association for Computing Machinery, New York, NY, USA, 1–8
Peter Blouw, Xuan Choo, Eric Hunsberger, and Chris Eliasmith. 2019 · 2019
Cited alongside, same era.
Benchmarks for Progress in Neuromorphic Computing
Mike Davies. 2019 · 2019
Cited alongside, same era.
Davis Blalock, Jose Javier Gonzalez Ortiz, Jonathan Frankle, and John Guttag. 2020 · 2020
Later among the works it cites.
Nengo and Low-Power AI Hardware for Robust, Embedded Neurorobotics
Travis DeWolf, Pawel Jaworski, and Chris Eliasmith. 2020 · 2020
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Neuromorphic Nearest Neighbor Search Using Intel’s Pohoiki Springs. In ACM International Conference Proceeding Series . Association for Computing Machinery, New York, NY, USA, 1–9
E Paxon Frady, Garrick Orchard, David Florey, Nabil Imam, Ruokun Liu, Joyesh Mishra, Jonathan Tse, Andreas Wild, Friedrich T Sommer, and Mike Davies. 2020 · 2020
Later among the works it cites.
An Efficient Spiking Neural Network for Recognizing Gestures with a DVS Camera on the Loihi Neuromorphic Processor. In 2020 International Joint Conference on Neural Networks (IJCNN) . IEEE, Glasgow, Scotland, 1
Riccardo Massa, Alberto Marchisio, Maurizio Martina, and Muhammad Shafique. 2020 · 2020
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Event-Driven Implementation of Deep Spiking Convolutional Neural Networks for Supervised Classification Using the SpiNNaker Neuromorphic Platform
Alberto Patiño-Saucedo, Horacio Rostro-Gonzalez, Teresa Serrano-Gotarredona, and Bernabé Linares-Barranco. 2020 · 2020
Later among the works it cites.
Enabling Deep Spiking Neural Networks with Hybrid Conversion and Spike Timing Dependent Backpropagation. In International Conference on Learning Representations . OpenReview.net, Addis Ababa, Ethiopia, 1
Nitin Rathi, Gopalakrishnan Srinivasan, Priyadarshini Panda, and Kaushik Roy. 2020 · 2020
Later among the works it cites.
Optimizing the Energy Consumption of Spiking Neural Networks for Neuromorphic Applications
Martino Sorbaro, Qian Liu, Massimo Bortone, and Sadique Sheik. 2020 · 2020
Later among the works it cites.
Constructing Accurate and Efficient Deep Spiking Neural Networks with Double-threshold and Augmented Schemes. (May 2020)
Qiang Yu, Chenxiang Ma, Shiming Song, Gaoyan Zhang, Jianwu Dang, and Kay Chen Tan. 2020 · 2020
Later among the works it cites.
Advancing Neuromorphic Computing with Loihi: A Survey of Results and Outlook
Mike Davies, Andreas Wild, Garrick Orchard, Yulia Sandamirskaya, Gabriel A. Fonseca Guerra, Prasad Joshi, Philipp Plank, and Sumedh Risbud. 2021 · 2021
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