Enabling Spike-based Backpropagation for Training Deep Neural Network Architectures

15 March 2019

Papers citing "Enabling Spike-based Backpropagation for Training Deep Neural Network Architectures"

50 / 60 papers shown

Title
TS-SNN: Temporal Shift Module for Spiking Neural Networks Kairong Yu Tianqing Zhang Qi Xu Gang Pan Hongwei Wang 206 0 0 07 May 2025
PASCAL: Precise and Efficient ANN- SNN Conversion using Spike Accumulation and Adaptive Layerwise Activation Pranav Ramesh Gopalakrishnan Srinivasan 36 0 0 03 May 2025
STAA-SNN: Spatial-Temporal Attention Aggregator for Spiking Neural Networks Tianqing Zhang Kairong Yu Xian Zhong Hongwei Wang Qi Xu Qiang Zhang 88 1 0 04 Mar 2025
Intelligent Sensing-to-Action for Robust Autonomy at the Edge: Opportunities and Challenges A. R. Trivedi Sina Tayebati Hemant Kumawat Nastaran Darabi Divake Kumar ... Dinithi Jayasuriya Nethmi Jayasinghe Priyadarshini Panda Saibal Mukhopadhyay Kaushik Roy 69 0 0 04 Feb 2025
CADE: Cosine Annealing Differential Evolution for Spiking Neural Network Runhua Jiang Guodong Du Shuyang Yu Yifei Guo S. Goh Ho-Kin Tang 49 3 0 04 Jun 2024
A Neuromorphic Approach to Obstacle Avoidance in Robot Manipulation Ahmed Faisal Abdelrahman Matias Valdenegro-Toro Maren Bennewitz Paul G. Plöger 39 0 0 08 Apr 2024
Applications of Spiking Neural Networks in Visual Place Recognition S. Hussaini Michael Milford Tobias Fischer 69 6 0 22 Nov 2023
Event-Driven Imaging in Turbid Media: A Confluence of Optoelectronics and Neuromorphic Computation Ning Zhang Timothy Shea A. Nurmikko 11 1 0 13 Sep 2023
HoSNN: Adversarially-Robust Homeostatic Spiking Neural Networks with Adaptive Firing Thresholds Hejia Geng Peng Li AAML 39 3 0 20 Aug 2023
Resource Constrained Model Compression via Minimax Optimization for Spiking Neural Networks Jue Chen Huan Yuan Jianchao Tan Bin Chen Chengru Song Di Zhang 25 3 0 09 Aug 2023
InfLoR-SNN: Reducing Information Loss for Spiking Neural Networks Yu-Zhu Guo Y. Chen Liwen Zhang Xiaode Liu Xinyi Tong Yuanyuan Ou Xuhui Huang Zhe Ma AAML 41 3 0 10 Jul 2023
Efficient Deep Spiking Multi-Layer Perceptrons with Multiplication-Free Inference Boyan Li Luziwei Leng Shuaijie Shen Kaixuan Zhang Jianguo Zhang Jianxing Liao Ran Cheng 42 7 0 21 Jun 2023
Auto-Spikformer: Spikformer Architecture Search Kaiwei Che Zhaokun Zhou Zhengyu Ma Wei Fang Yanqing Chen Shuaijie Shen Liuliang Yuan Yonghong Tian 29 4 0 01 Jun 2023
Spikingformer: Spike-driven Residual Learning for Transformer-based Spiking Neural Network Chenlin Zhou Liutao Yu Zhaokun Zhou Zhengyu Ma Han Zhang Huihui Zhou Yonghong Tian 40 62 0 24 Apr 2023
MT-SNN: Enhance Spiking Neural Network with Multiple Thresholds Xiaoting Wang Yanxiang Zhang Yongzhen Zhang 36 5 0 20 Mar 2023
Optimal ANN-SNN Conversion for High-accuracy and Ultra-low-latency Spiking Neural Networks Tong Bu Wei Fang Jianhao Ding Penglin Dai Zhaofei Yu Tiejun Huang 113 197 0 08 Mar 2023
Workload-Balanced Pruning for Sparse Spiking Neural Networks Ruokai Yin Youngeun Kim Yuhang Li Abhishek Moitra Nitin Satpute Anna Hambitzer Priyadarshini Panda 37 19 0 13 Feb 2023
Training Full Spike Neural Networks via Auxiliary Accumulation Pathway Guangyao Chen Peixi Peng Guoqi Li Yonghong Tian 29 23 0 27 Jan 2023
Improving Reliability of Spiking Neural Networks through Fault Aware Threshold Voltage Optimization Ayesha Siddique K. A. Hoque 27 5 0 12 Jan 2023
What is Cognitive Computing? An Architecture and State of The Art S. Elnagar Manoj A. Thomas Kweku-Muata A. Osei-Bryson 21 3 0 02 Jan 2023
Models Developed for Spiking Neural Networks Shahriar Rezghi Shirsavar A. Vahabie M. Dehaqani 27 4 0 08 Dec 2022
Exploring Temporal Information Dynamics in Spiking Neural Networks Youngeun Kim Yuhang Li Hyoungseob Park Yeshwanth Venkatesha Anna Hambitzer Priyadarshini Panda 19 32 0 26 Nov 2022
Desire Backpropagation: A Lightweight Training Algorithm for Multi-Layer Spiking Neural Networks based on Spike-Timing-Dependent Plasticity Daniel Gerlinghoff Tao Luo Rick Siow Mong Goh Weng-Fai Wong 14 2 0 10 Nov 2022
Towards Energy-Efficient, Low-Latency and Accurate Spiking LSTMs Gourav Datta Haoqing Deng R. Aviles P. Beerel 93 10 0 23 Oct 2022
Ensembles of Compact, Region-specific & Regularized Spiking Neural Networks for Scalable Place Recognition S. Hussaini Michael Milford Tobias Fischer 32 9 0 19 Sep 2022
A temporally and spatially local spike-based backpropagation algorithm to enable training in hardware Anmol Biswas V. Saraswat U. Ganguly AAML 24 1 0 20 Jul 2022
Automating the Design and Development of Gradient Descent Trained Expert System Networks Jeremy Straub 29 9 0 04 Jul 2022
Exploring Lottery Ticket Hypothesis in Spiking Neural Networks Youngeun Kim Yuhang Li Hyoungseob Park Yeshwanth Venkatesha Ruokai Yin Priyadarshini Panda 32 46 0 04 Jul 2022
Spikemax: Spike-based Loss Methods for Classification S. Shrestha Longwei Zhu Pengfei Sun 29 15 0 19 May 2022
Training High-Performance Low-Latency Spiking Neural Networks by Differentiation on Spike Representation Qingyan Meng Mingqing Xiao Shen Yan Yisen Wang Zhouchen Lin Zhimin Luo 24 134 0 01 May 2022
Optimized Potential Initialization for Low-latency Spiking Neural Networks Tong Bu Jianhao Ding Zhaofei Yu Tiejun Huang 106 89 0 03 Feb 2022
Neural Architecture Search for Spiking Neural Networks Youngeun Kim Yuhang Li Hyoungseob Park Yeshwanth Venkatesha Priyadarshini Panda 26 88 0 23 Jan 2022
Backpropagation with Biologically Plausible Spatio-Temporal Adjustment For Training Deep Spiking Neural Networks Guobin Shen Dongcheng Zhao Yi Zeng 38 54 0 17 Oct 2021
HIRE-SNN: Harnessing the Inherent Robustness of Energy-Efficient Deep Spiking Neural Networks by Training with Crafted Input Noise Souvik Kundu Massoud Pedram P. Beerel AAML 22 71 0 06 Oct 2021
One Timestep is All You Need: Training Spiking Neural Networks with Ultra Low Latency Sayeed Shafayet Chowdhury Nitin Rathi Kaushik Roy 23 40 0 01 Oct 2021
Training Deep Spiking Auto-encoders without Bursting or Dying Neurons through Regularization Justus F. Hübotter Pablo Lanillos Jakub M. Tomczak 16 3 0 22 Sep 2021
Spike time displacement based error backpropagation in convolutional spiking neural networks M. Mirsadeghi Majid Shalchian Saeed Reza Kheradpisheh T. Masquelier 12 15 0 31 Aug 2021
Training Energy-Efficient Deep Spiking Neural Networks with Single-Spike Hybrid Input Encoding Gourav Datta Souvik Kundu P. Beerel 48 27 0 26 Jul 2021
Towards Low-Latency Energy-Efficient Deep SNNs via Attention-Guided Compression Souvik Kundu Gourav Datta Massoud Pedram P. Beerel 23 14 0 16 Jul 2021
EventDrop: data augmentation for event-based learning Fuqiang Gu Weicong Sng Xuke Hu Fei Yu 24 37 0 07 Jun 2021
Deep Spiking Convolutional Neural Network for Single Object Localization Based On Deep Continuous Local Learning Sami Barchid José Mennesson Chaabane Djéraba 31 9 0 12 May 2021
A Little Energy Goes a Long Way: Build an Energy-Efficient, Accurate Spiking Neural Network from Convolutional Neural Network Dengyu Wu Xinping Yi Xiaowei Huang 24 16 0 01 Mar 2021
Deep Residual Learning in Spiking Neural Networks Wei Fang Zhaofei Yu Yanqing Chen Tiejun Huang T. Masquelier Yonghong Tian 123 481 0 08 Feb 2021
A multi-agent evolutionary robotics framework to train spiking neural networks Souvik Das Anirudh Shankar Vaneet Aggarwal 21 1 0 07 Dec 2020
Going Deeper With Directly-Trained Larger Spiking Neural Networks Hanle Zheng Yujie Wu Lei Deng Yifan Hu Guoqi Li 19 501 0 29 Oct 2020
Brain-Inspired Learning on Neuromorphic Substrates Friedemann Zenke Emre Neftci 38 89 0 22 Oct 2020
Tuning Convolutional Spiking Neural Network with Biologically-plausible Reward Propagation Tielin Zhang Shuncheng Jia Xiang Cheng Bo Xu 33 48 0 09 Oct 2020
Revisiting Batch Normalization for Training Low-latency Deep Spiking Neural Networks from Scratch Youngeun Kim Priyadarshini Panda 30 171 0 05 Oct 2020
TCL: an ANN-to-SNN Conversion with Trainable Clipping Layers Nguyen-Dong Ho I. Chang 4 48 0 11 Aug 2020
Incorporating Learnable Membrane Time Constant to Enhance Learning of Spiking Neural Networks Wei Fang Zhaofei Yu Yanqing Chen T. Masquelier Tiejun Huang Yonghong Tian 70 508 0 11 Jul 2020