One Timestep is All You Need: Training Spiking Neural Networks with Ultra Low Latency

1 October 2021

Papers citing "One Timestep is All You Need: Training Spiking Neural Networks with Ultra Low Latency"

23 / 23 papers shown

Title
Spiking Neural Networks: The Future of Brain-Inspired Computinginternational journal of engineering trends and technology (IJETT), 2025 Sales G. Aribe Jr 58 0 0 31 Oct 2025
When Routers, Switches and Interconnects Compute: A processing-in-interconnect Paradigm for Scalable Neuromorphic AI Madhuvanthi Srivatsav R Chiranjib Bhattacharyya S. Chakrabartty Chetan Singh Thakur 69 0 0 27 Aug 2025
SDSNN: A Single-Timestep Spiking Neural Network with Self-Dropping Neuron and Bayesian Optimization Changqing Xu Buxuan Song Yi Liu Xinfang Liao Wenbin Zheng Yintang Yang 48 0 0 01 Aug 2025
TSkips: Efficiency Through Explicit Temporal Delay Connections in Spiking Neural Networks Prajna G. Malettira Shubham Negi Wachirawit Ponghiran Kaushik Roy AI4TS 244 2 0 22 Nov 2024
High-Performance Temporal Reversible Spiking Neural Networks with $O(L)$ Training Memory and $O(1)$ Inference Cost Jiakui Hu Man Yao Xuerui Qiu Yuhong Chou Yuxuan Cai Ning Qiao Yonghong Tian Boxing Xu Guoqi Li AI4CE 162 19 0 26 May 2024
SNN4Agents: A Framework for Developing Energy-Efficient Embodied Spiking Neural Networks for Autonomous Agents Rachmad Vidya Wicaksana Putra Alberto Marchisio Mohamed Bennai 191 11 0 14 Apr 2024
Web Neural Network with Complete DiGraphs Frank Li GNN 116 0 0 07 Jan 2024
Energy-Efficient Visual Search by Eye Movement and Low-Latency Spiking Neural Network Yunhui Zhou Dongqi Han Yuguo Yu 3DH 139 0 0 10 Oct 2023
Spike Accumulation Forwarding for Effective Training of Spiking Neural Networks Ryuji Saiin Tomoya Shirakawa Sota Yoshihara Yoshihide Sawada Hiroyuki Kusumoto 391 3 0 04 Oct 2023
HyperSNN: A new efficient and robust deep learning model for resource constrained control applications Zhanglu Yan Shida Wang Kaiwen Tang Wong-Fai Wong 118 2 0 16 Aug 2023
Spike-driven TransformerNeural Information Processing Systems (NeurIPS), 2023 Man Yao Jiakui Hu Zhaokun Zhou Liuliang Yuan Yonghong Tian Boxing Xu Guoqi Li 170 192 0 04 Jul 2023
Sharing Leaky-Integrate-and-Fire Neurons for Memory-Efficient Spiking Neural NetworksFrontiers in Neuroscience (Front. Neurosci.), 2023 Youngeun Kim Yuhang Li Abhishek Moitra Ruokai Yin Priyadarshini Panda 133 17 0 26 May 2023
Segmented Recurrent Transformer: An Efficient Sequence-to-Sequence ModelConference on Empirical Methods in Natural Language Processing (EMNLP), 2023 Yinghan Long Sayeed Shafayet Chowdhury Kaushik Roy 271 1 0 24 May 2023
TopSpark: A Timestep Optimization Methodology for Energy-Efficient Spiking Neural Networks on Autonomous Mobile AgentsIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2023 Rachmad Vidya Wicaksana Putra Mohamed Bennai 156 16 0 03 Mar 2023
Towards Memory- and Time-Efficient Backpropagation for Training Spiking Neural NetworksIEEE International Conference on Computer Vision (ICCV), 2023 Qingyan Meng Mingqing Xiao Shen Yan Yisen Wang Zhouchen Lin Zhimin Luo 285 64 0 28 Feb 2023
Spiking Synaptic Penalty: Appropriate Penalty Term for Energy-Efficient Spiking Neural Networks Kazuma Suetake Takuya Ushimaru Ryuji Saiin Yoshihide Sawada 212 0 0 03 Feb 2023
Hoyer regularizer is all you need for ultra low-latency spiking neural networks Gourav Datta Zeyu Liu Peter A. Beerel 183 11 0 20 Dec 2022
Exploring Temporal Information Dynamics in Spiking Neural NetworksAAAI Conference on Artificial Intelligence (AAAI), 2022 Youngeun Kim Yuhang Li Hyoungseob Park Yeshwanth Venkatesha Anna Hambitzer Priyadarshini Panda 155 51 0 26 Nov 2022
Attention Spiking Neural NetworksIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022 Man Yao Guangshe Zhao Hengyu Zhang Yifan Hu Lei Deng Yonghong Tian Bo Xu Guoqi Li 172 232 0 28 Sep 2022
MAP-SNN: Mapping Spike Activities with Multiplicity, Adaptability, and Plasticity into Bio-Plausible Spiking Neural NetworksFrontiers in Neuroscience (Front. Neurosci.), 2022 Chengting Yu Yang-Guang Du Mufeng Chen Aili Wang Gaoang Wang Erping Li AAML 156 3 0 21 Apr 2022
S $^3$ NN: Time Step Reduction of Spiking Surrogate Gradients for Training Energy Efficient Single-Step Spiking Neural NetworksNeural Networks (NN), 2022 Kazuma Suetake Shin-ichi Ikegawa Ryuji Saiin Yoshihide Sawada 169 4 0 26 Jan 2022
Direct Training via Backpropagation for Ultra-low Latency Spiking Neural Networks with Multi-threshold Changqin Xu Yi Liu Yintang Yang 155 13 0 25 Nov 2021
DIET-SNN: Direct Input Encoding With Leakage and Threshold Optimization in Deep Spiking Neural Networks Nitin Rathi Kaushik Roy 282 144 0 09 Aug 2020