Training Deep Spiking Neural Networks using Backpropagation

31 August 2016

Papers citing "Training Deep Spiking Neural Networks using Backpropagation"

50 / 351 papers shown

Title
Spiking Neural Operators for Scientific Machine Learning Adar Kahana Qian Zhang Leonard Gleyzer George Karniadakis 236 11 0 17 May 2022
Converting Artificial Neural Networks to Spiking Neural Networks via Parameter Calibration Yuhang Li Shi-Wee Deng Xin Dong Shi Gu 127 24 0 06 May 2022
Spiking Graph Convolutional NetworksInternational Joint Conference on Artificial Intelligence (IJCAI), 2022 Zulun Zhu Jiaying Peng Jintang Li Liang Chen Qi Yu Siqiang Luo GNN 136 55 0 05 May 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 188 3 0 21 Apr 2022
Event TransformerIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022 Bin Jiang Zhihao Li M. Salman Asif Xun Cao Zhan Ma ViT 137 3 0 11 Apr 2022
Signal Propagation: A Framework for Learning and Inference In a Forward PassIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022 Adam A. Kohan E. Rietman H. Siegelmann 189 33 0 04 Apr 2022
Deep Learning in Spiking Phasor Neural Networks Connor Bybee E. P. Frady Friedrich T. Sommer 112 7 0 01 Apr 2022
AEGNN: Asynchronous Event-based Graph Neural NetworksComputer Vision and Pattern Recognition (CVPR), 2022 S. Schaefer Daniel Gehrig Davide Scaramuzza GNN 300 184 0 31 Mar 2022
Brain inspired neuronal silencing mechanism to enable reliable sequence identificationScientific Reports (Sci Rep), 2022 Shiri Hodassman Yuval Meir Karin Kisos Itamar Ben-Noam Yael Tugendhaft A. Goldental R. Vardi Ido Kanter 145 2 0 24 Mar 2022
Ultra-low Latency Spiking Neural Networks with Spatio-Temporal Compression and Synaptic Convolutional BlockNeurocomputing (Neurocomputing), 2022 Changqin Xu Yi Liu Yintang Yang 152 11 0 18 Mar 2022
Neuromorphic Data Augmentation for Training Spiking Neural NetworksEuropean Conference on Computer Vision (ECCV), 2022 Yuhang Li Youngeun Kim Hyoungseob Park Tamar Geller Priyadarshini Panda 207 93 0 11 Mar 2022
Ensemble plasticity and network adaptability in SNNs Mahima Milinda Alwis Weerasinghe David Parry Grace I. Wang Jacqueline L. Whalley 126 2 0 11 Mar 2022
Temporal Efficient Training of Spiking Neural Network via Gradient Re-weightingInternational Conference on Learning Representations (ICLR), 2022 Shi-Wee Deng Yuhang Li Shanghang Zhang Shi Gu 417 316 0 24 Feb 2022
Navigating Local Minima in Quantized Spiking Neural NetworksInternational Conference on Artificial Intelligence Circuits and Systems (ICAICS), 2022 Nhan Duy Truong Corey Lammie M. R. Azghadi Wei D. Lu 160 19 0 15 Feb 2022
Motif-topology and Reward-learning improved Spiking Neural Network for Efficient Multi-sensory IntegrationIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022 Shuncheng Jia Ruichen Zuo Tielin Zhang Hongxing Liu Bo Xu 90 14 0 11 Feb 2022
Optimized Potential Initialization for Low-latency Spiking Neural NetworksAAAI Conference on Artificial Intelligence (AAAI), 2022 Tong Bu Jianhao Ding Zhaofei Yu Tiejun Huang 302 101 0 03 Feb 2022
Rate Coding or Direct Coding: Which One is Better for Accurate, Robust, and Energy-efficient Spiking Neural Networks?IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022 Youngeun Kim Hyoungseob Park Abhishek Moitra Abhiroop Bhattacharjee Yeshwanth Venkatesha Priyadarshini Panda AAML MQ 158 84 0 31 Jan 2022
Event-based Video Reconstruction via Potential-assisted Spiking Neural NetworkComputer Vision and Pattern Recognition (CVPR), 2022 Lin Zhu Tianlin Li Yi Chang Jianing Li Tiejun Huang Yonghong Tian 278 114 0 25 Jan 2022
Neural Architecture Search for Spiking Neural NetworksEuropean Conference on Computer Vision (ECCV), 2022 Youngeun Kim Yuhang Li Hyoungseob Park Yeshwanth Venkatesha Priyadarshini Panda 239 106 0 23 Jan 2022
Deep Reinforcement Learning with Spiking Q-learning Ding Chen Peixi Peng Tiejun Huang Yonghong Tian 260 25 0 21 Jan 2022
Including STDP to eligibility propagation in multi-layer recurrent spiking neural networks Werner van der Veen 176 1 0 05 Jan 2022
Improving Spiking Neural Network Accuracy Using Time-based NeuronsInternational Symposium on Circuits and Systems (ISCAS), 2022 Hanseok Kim Woo-Seok Choi 74 8 0 05 Jan 2022
Can Deep Neural Networks be Converted to Ultra Low-Latency Spiking Neural Networks?Design, Automation and Test in Europe (DATE), 2021 Gourav Datta Peter A. Beerel 129 40 0 22 Dec 2021
Advancing Spiking Neural Networks towards Deep Residual Learning Yifan Hu Lei Deng Yujie Wu Man Yao Guoqi Li 213 148 0 15 Dec 2021
Efficient Training of Spiking Neural Networks with Temporally-Truncated Local Backpropagation through Time Wenzhe Guo M. Fouda A. Eltawil K. Salama 134 18 0 13 Dec 2021
Hybrid SNN-ANN: Energy-Efficient Classification and Object Detection for Event-Based VisionGerman Conference on Pattern Recognition (DAGM), 2021 Alexander Kugele Thomas Pfeil Michael Pfeiffer Elisabetta Chicca 199 46 0 06 Dec 2021
N-ImageNet: Towards Robust, Fine-Grained Object Recognition with Event Cameras J. Kim Jaehyeok Bae Gang-Ryeong Park Dongsu Zhang Y. Kim ObjD 326 114 0 02 Dec 2021
Direct Training via Backpropagation for Ultra-low Latency Spiking Neural Networks with Multi-threshold Changqin Xu Yi Liu Yintang Yang 183 13 0 25 Nov 2021
Increasing Liquid State Machine Performance with Edge-of-Chaos Dynamics Organized by Astrocyte-modulated Plasticity Vladimir A. Ivanov Konstantinos Michmizos 132 39 0 26 Oct 2021
Backpropagation with Biologically Plausible Spatio-Temporal Adjustment For Training Deep Spiking Neural Networks Guobin Shen Dongcheng Zhao Yi Zeng 175 58 0 17 Oct 2021
Beyond Classification: Directly Training Spiking Neural Networks for Semantic Segmentation Youngeun Kim Joshua Chough Priyadarshini Panda 156 90 0 14 Oct 2021
Evolved neuromorphic radar-based altitude controller for an autonomous open-source blimp M. González-Alvarez Julien Dupeyroux Federico Corradi Guido de Croon 209 10 0 01 Oct 2021
Training Feedback Spiking Neural Networks by Implicit Differentiation on the Equilibrium State Mingqing Xiao Qingyan Meng Zongpeng Zhang Yisen Wang Zhouchen Lin 297 78 0 29 Sep 2021
Training Spiking Neural Networks Using Lessons From Deep LearningProceedings of the IEEE (Proc. IEEE), 2021 Nhan Duy Truong Max Ward Emre Neftci Xinxin Wang Gregor Lenz Girish Dwivedi Bennamoun Doo Seok Jeong Wei D. Lu 464 653 0 27 Sep 2021
An optimised deep spiking neural network architecture without gradientsIEEE Access (IEEE Access), 2021 Y. Bethi Ying Xu Gregory Cohen A. van Schaik Saeed Afshar OOD 190 14 0 27 Sep 2021
Training Deep Spiking Auto-encoders without Bursting or Dying Neurons through Regularization Justus F. Hübotter Pablo Lanillos Jakub M. Tomczak 105 5 0 22 Sep 2021
Deep Spiking Neural Networks with Resonate-and-Fire Neurons Badr AlKhamissi Muhammad N. ElNokrashy D. Bernal-Casas 106 8 0 16 Sep 2021
Spike time displacement based error backpropagation in convolutional spiking neural networks M. Mirsadeghi Majid Shalchian Saeed Reza Kheradpisheh T. Masquelier 104 16 0 31 Aug 2021
Online Training of Spiking Recurrent Neural Networks with Phase-Change Memory Synapses Yiğit Demirağ Charlotte Frenkel Melika Payvand Giacomo Indiveri 210 18 0 04 Aug 2021
HYPER-SNN: Towards Energy-efficient Quantized Deep Spiking Neural Networks for Hyperspectral Image Classification Gourav Datta Souvik Kundu Akhilesh R. Jaiswal Peter A. Beerel 188 9 0 26 Jul 2021
Training Energy-Efficient Deep Spiking Neural Networks with Single-Spike Hybrid Input EncodingIEEE International Joint Conference on Neural Network (IJCNN), 2021 Gourav Datta Souvik Kundu Peter A. Beerel 271 35 0 26 Jul 2021
H2Learn: High-Efficiency Learning Accelerator for High-Accuracy Spiking Neural NetworksIEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (IEEE TCAD), 2021 Ling Liang Zheng Qu Zhaodong Chen Fengbin Tu Yujie Wu Lei Deng Guoqi Li Peng Li Yuan Xie 163 30 0 25 Jul 2021
Towards Low-Latency Energy-Efficient Deep SNNs via Attention-Guided Compression Souvik Kundu Gourav Datta Massoud Pedram Peter A. Beerel 142 14 0 16 Jul 2021
The Backpropagation Algorithm Implemented on Spiking Neuromorphic HardwareNature Communications (Nat Commun), 2021 Alpha Renner F. Sheldon Anatoly Zlotnik L. Tao A. Sornborger 174 50 0 13 Jun 2021
SpikePropamine: Differentiable Plasticity in Spiking Neural NetworksFrontiers in Neurorobotics (FN), 2021 Samuel Schmidgall Julia Ashkanazy W. Lawson Joe Hays 151 9 0 04 Jun 2021
Bottom-up and top-down approaches for the design of neuromorphic processing systems: Tradeoffs and synergies between natural and artificial intelligenceProceedings of the IEEE (Proc. IEEE), 2021 Charlotte Frenkel D. Bol Giacomo Indiveri 217 56 0 02 Jun 2021
A Microarchitecture Implementation Framework for Online Learning with Temporal Neural NetworksIEEE Computer Society Annual Symposium on VLSI (ISVLSI), 2021 Harideep Nair J. Shen James E. Smith 223 10 0 27 May 2021
BackEISNN: A Deep Spiking Neural Network with Adaptive Self-Feedback and Balanced Excitatory-Inhibitory NeuronsNeural Networks (NN), 2021 Dongcheng Zhao Yi Zeng Yang Li 159 53 0 27 May 2021
A brain basis of dynamical intelligence for AI and computational neuroscience J. Monaco Kanaka Rajan Grace M. Hwang AI4CE 151 7 0 15 May 2021
SpikeMS: Deep Spiking Neural Network for Motion SegmentationIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2021 Chethan Parameshwara Simin Li Cornelia Fermuller N. Sanket Matthew Evanusa Yiannis Aloimonos 131 50 0 13 May 2021