Incorporating Learnable Membrane Time Constant to Enhance Learning of Spiking Neural Networks

11 July 2020

Yonghong Tian

Papers citing "Incorporating Learnable Membrane Time Constant to Enhance Learning of Spiking Neural Networks"

41 / 291 papers shown

Title
Converting Artificial Neural Networks to Spiking Neural Networks via Parameter Calibration Yuhang Li Shi-Wee Deng Xin Dong Shi Gu 59 24 0 06 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
Axonal Delay As a Short-Term Memory for Feed Forward Deep Spiking Neural Networks Pengfei Sun Longwei Zhu Dick Botteldooren 16 23 0 20 Apr 2022
Event Transformer Bin Jiang Zhihao Li Ulugbek S. Kamilov Xun Cao Zhan Ma ViT 30 0 0 11 Apr 2022
Ultra-low Latency Spiking Neural Networks with Spatio-Temporal Compression and Synaptic Convolutional Block Changqin Xu Yi Liu Yintang Yang 24 7 0 18 Mar 2022
Neuromorphic Data Augmentation for Training Spiking Neural Networks Yuhang Li Youngeun Kim Hyoungseob Park Tamar Geller Priyadarshini Panda 31 75 0 11 Mar 2022
Rethinking the role of normalization and residual blocks for spiking neural networks Shin-ichi Ikegawa Ryuji Saiin Yoshihide Sawada N. Natori 13 17 0 03 Mar 2022
Rethinking Pretraining as a Bridge from ANNs to SNNs Yihan Lin Yifan Hu Shiji Ma Guo-Qi Li Dongjie Yu 37 12 0 02 Mar 2022
Bina-Rep Event Frames: a Simple and Effective Representation for Event-based cameras Sami Barchid José Mennesson Chaabane Djéraba 16 12 0 28 Feb 2022
Optimized Potential Initialization for Low-latency Spiking Neural Networks Tong Bu Jianhao Ding Zhaofei Yu Tiejun Huang 106 89 0 03 Feb 2022
Rate Coding or Direct Coding: Which One is Better for Accurate, Robust, and Energy-efficient Spiking Neural Networks? Youngeun Kim Hyoungseob Park Abhishek Moitra Abhiroop Bhattacharjee Yeshwanth Venkatesha Priyadarshini Panda AAML MQ 34 66 0 31 Jan 2022
AutoSNN: Towards Energy-Efficient Spiking Neural Networks Byunggook Na J. Mok Seongsik Park Dongjin Lee Hyeokjun Choe Sungroh Yoon 47 63 0 30 Jan 2022
S $^3$ NN: Time Step Reduction of Spiking Surrogate Gradients for Training Energy Efficient Single-Step Spiking Neural Networks Kazuma Suetake Shin-ichi Ikegawa Ryuji Saiin Yoshihide Sawada 24 4 0 26 Jan 2022
Event-based Video Reconstruction via Potential-assisted Spiking Neural Network Lin Zhu Tianlin Li Yi Chang Jianing Li Tiejun Huang Yonghong Tian 27 93 0 25 Jan 2022
Neural Architecture Search for Spiking Neural Networks Youngeun Kim Yuhang Li Hyoungseob Park Yeshwanth Venkatesha Priyadarshini Panda 26 88 0 23 Jan 2022
Deep Reinforcement Learning with Spiking Q-learning Ding Chen Peixi Peng Tiejun Huang Yonghong Tian 25 20 0 21 Jan 2022
Can Deep Neural Networks be Converted to Ultra Low-Latency Spiking Neural Networks? Gourav Datta P. Beerel 46 37 0 22 Dec 2021
Accurate online training of dynamical spiking neural networks through Forward Propagation Through Time Bojian Yin Federico Corradi S. Bohté 38 61 0 20 Dec 2021
Advancing Spiking Neural Networks towards Deep Residual Learning Yifan Hu Lei Deng Yujie Wu Man Yao Guoqi Li 21 84 0 15 Dec 2021
Advancing Deep Residual Learning by Solving the Crux of Degradation in Spiking Neural Networks Yifan Hu Yujie Wu Lei Deng Guoqi Li 30 5 0 09 Dec 2021
Keys to Accurate Feature Extraction Using Residual Spiking Neural Networks Alex Vicente-Sola D. L. Manna Paul Kirkland G. D. Caterina Trevor Bihl University of Strathclyde 25 22 0 10 Nov 2021
Backpropagation with Biologically Plausible Spatio-Temporal Adjustment For Training Deep Spiking Neural Networks Guobin Shen Dongcheng Zhao Yi Zeng 33 54 0 17 Oct 2021
StereoSpike: Depth Learning with a Spiking Neural Network Ulysse Rançon Javier Cuadrado-Anibarro Benoit R. Cottereau T. Masquelier 25 34 0 28 Sep 2021
Spiking neural networks trained via proxy Saeed Reza Kheradpisheh M. Mirsadeghi T. Masquelier 22 16 0 27 Sep 2021
Spiking Neural Networks with Improved Inherent Recurrence Dynamics for Sequential Learning Wachirawit Ponghiran Kaushik Roy 32 48 0 04 Sep 2021
Spike time displacement based error backpropagation in convolutional spiking neural networks M. Mirsadeghi Majid Shalchian Saeed Reza Kheradpisheh T. Masquelier 12 14 0 31 Aug 2021
Self-Supervised Learning of Event-Based Optical Flow with Spiking Neural Networks J. Hagenaars Federico Paredes-Valles Guido de Croon 18 133 0 03 Jun 2021
BSNN: Towards Faster and Better Conversion of Artificial Neural Networks to Spiking Neural Networks with Bistable Neurons Yang Li Yi Zeng Dongcheng Zhao 31 26 0 27 May 2021
Pruning of Deep Spiking Neural Networks through Gradient Rewiring Yanqing Chen Zhaofei Yu Wei Fang Tiejun Huang Yonghong Tian 32 64 0 11 May 2021
Learning from Event Cameras with Sparse Spiking Convolutional Neural Networks Loic Cordone Benoit Miramond Sonia Ferrante 33 36 0 26 Apr 2021
Accurate and efficient time-domain classification with adaptive spiking recurrent neural networks Bojian Yin Federico Corradi S. Bohté 50 209 0 12 Mar 2021
Optimal Conversion of Conventional Artificial Neural Networks to Spiking Neural Networks Shi-Wee Deng Shi Gu 124 200 0 28 Feb 2021
Deep Residual Learning in Spiking Neural Networks Wei Fang Zhaofei Yu Yanqing Chen Tiejun Huang T. Masquelier Yonghong Tian 123 479 0 08 Feb 2021
Encrypted Internet traffic classification using a supervised Spiking Neural Network Ali Rasteh Floriane Delpech Carlos Aguilar-Melchor Romain Zimmer Saeed Bagheri Shouraki T. Masquelier 19 17 0 24 Jan 2021
Revisiting Batch Normalization for Training Low-latency Deep Spiking Neural Networks from Scratch Youngeun Kim Priyadarshini Panda 30 171 0 05 Oct 2020
BS4NN: Binarized Spiking Neural Networks with Temporal Coding and Learning Saeed Reza Kheradpisheh M. Mirsadeghi T. Masquelier MQ AI4CE 20 75 0 08 Jul 2020
Brain-inspired global-local learning incorporated with neuromorphic computing Yujie Wu R. Zhao Jun Zhu F. Chen Mingkun Xu ... Hao Zheng Jing Pei Youhui Zhang Mingguo Zhao Luping Shi 32 86 0 05 Jun 2020
Enabling Deep Spiking Neural Networks with Hybrid Conversion and Spike Timing Dependent Backpropagation Nitin Rathi G. Srinivasan Priyadarshini Panda Kaushik Roy 124 294 0 04 May 2020
Comparing SNNs and RNNs on Neuromorphic Vision Datasets: Similarities and Differences Weihua He Yujie Wu Lei Deng Guoqi Li Haoyu Wang Yang Tian Wei Ding Wenhui Wang Yuan Xie 88 125 0 02 May 2020
Is Neuromorphic MNIST neuromorphic? Analyzing the discriminative power of neuromorphic datasets in the time domain Laxmi R. Iyer Yansong Chua Haizhou Li 10 53 0 03 Jul 2018
Long short-term memory and learning-to-learn in networks of spiking neurons G. Bellec Darjan Salaj Anand Subramoney Robert Legenstein Wolfgang Maass 121 481 0 26 Mar 2018