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Brain inspired spiking neural networks (SNNs) have been successfully applied to many pattern recognition domains.
Networks of spiking neurons: the third generation of neural network models
Wolfgang Maass · 1997
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The spinnaker project
Steve B Furber, Francesco Galluppi, Steve Temple, and Luis A Plana · 2014
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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
Earlier work this paper cites.
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
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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, et al · 2018
Earlier work this paper cites.
Spiking neural networks for computer vision
Michael Hopkins, Garibaldi Pineda-García, Petruţ A Bogdan, and Steve B Furber · 2018
Earlier work this paper cites.
Spatio-temporal backpropagation for training high-performance spiking neural networks
Yujie Wu, Lei Deng, Guoqi Li, Jun Zhu, and Luping Shi · 2018
Earlier work this paper cites.
A brain-inspired decision-making spiking neural network and its application in unmanned aerial vehicle
Feifei Zhao, Yi Zeng, and Bo Xu · 2018
Earlier work this paper cites.
Striatal circuits for reward learning and decision-making
Julia Cox and Ilana B Witten · 2019
Cited alongside, same era.
Improved robustness of reinforcement learning policies upon conversion to spiking neuronal network platforms applied to atari breakout game
Devdhar Patel, Hananel Hazan, Daniel J Saunders, Hava T Siegelmann, and Robert Kozma · 2019
Cited alongside, same era.
Direct training for spiking neural networks: Faster, larger, better
Yujie Wu, Lei Deng, Guoqi Li, Jun Zhu, Yuan Xie, and Luping Shi · 2019
Cited alongside, same era.
Spiking-yolo: spiking neural network for energy-efficient object detection
Seijoon Kim, Seongsik Park, Byunggook Na, and Sungroh Yoon · 2020
Cited alongside, same era.
Learning to walk: Spike based reinforcement learning for hexapod robot central pattern generation
Ashwin Sanjay Lele, Yan Fang, Justin Ting, and Arijit Raychowdhury · 2020
Cited alongside, same era.
A brain-inspired causal reasoning model based on spiking neural networks
Hongjian Fang and Yi Zeng · 2021
Later among the works it cites.
Deep residual learning in spiking neural networks
Wei Fang, Zhaofei Yu, Yanqi Chen, Tiejun Huang, Timothée Masquelier, and Yonghong Tian · 2021
Later among the works it cites.
Human-level control through directly-trained deep spiking q-networks
Guisong Liu, Wenjie Deng, Xiurui Xie, Li Huang, and Huajin Tang · 2021
Later among the works it cites.
Quantum superposition inspired spiking neural network
Yinqian Sun, Yi Zeng, and Tielin Zhang · 2021
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Distilling neuron spike with high temperature in reinforcement learning agents
Ling Zhang, Jian Cao, Yuan Zhang, Bohan Zhou, and Shuo Feng · 2021
Later among the works it cites.
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Weihao Tan, Devdhar Patel, and Robert Kozma · 2020
Cited alongside, same era.
Deep reinforcement learning with population-coded spiking neural network for continuous control
Guangzhi Tang, Neelesh Kumar, Raymond Yoo, and Konstantinos P Michmizos · 2020
Cited alongside, same era.
Going deeper with directly-trained larger spiking neural networks
Hanle Zheng, Yujie Wu, Lei Deng, Yifan Hu, and Guoqi Li · 2020
Cited alongside, same era.
Ding Chen, Peixi Peng, Tiejun Huang, and Yonghong Tian · 2022
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Efficient and accurate conversion of spiking neural network with burst spikes
Yang Li and Yi Zeng · 2022
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