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"

39 / 289 papers shown

Title
Axonal Delay As a Short-Term Memory for Feed Forward Deep Spiking Neural Networks Pengfei Sun Longwei Zhu Dick Botteldooren 14 23 0 20 Apr 2022
Event Transformer Bin Jiang Zhihao Li M. Salman Asif Xun Cao Zhan Ma ViT 19 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 11 7 0 18 Mar 2022
Neuromorphic Data Augmentation for Training Spiking Neural Networks Yuhang Li Youngeun Kim Hyoungseob Park Tamar Geller Priyadarshini Panda 21 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 21 12 0 02 Mar 2022
Bina-Rep Event Frames: a Simple and Effective Representation for Event-based cameras Sami Barchid José Mennesson Chaabane Djéraba 12 8 0 28 Feb 2022
Optimized Potential Initialization for Low-latency Spiking Neural Networks Tong Bu Jianhao Ding Zhaofei Yu Tiejun Huang 99 86 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 16 66 0 31 Jan 2022
AutoSNN: Towards Energy-Efficient Spiking Neural Networks Byunggook Na J. Mok Seongsik Park Dongjin Lee Hyeokjun Choe Sungroh Yoon 40 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 14 4 0 26 Jan 2022
Event-based Video Reconstruction via Potential-assisted Spiking Neural Network Lin Zhu Xiao Wang Yi Chang Jianing Li Tiejun Huang Yonghong Tian 12 93 0 25 Jan 2022
Neural Architecture Search for Spiking Neural Networks Youngeun Kim Yuhang Li Hyoungseob Park Yeshwanth Venkatesha Priyadarshini Panda 11 88 0 23 Jan 2022
Deep Reinforcement Learning with Spiking Q-learning Ding Chen Peixi Peng Tiejun Huang Yonghong Tian 22 19 0 21 Jan 2022
Can Deep Neural Networks be Converted to Ultra Low-Latency Spiking Neural Networks? Gourav Datta P. Beerel 24 37 0 22 Dec 2021
Accurate online training of dynamical spiking neural networks through Forward Propagation Through Time Bojian Yin Federico Corradi S. Bohté 27 60 0 20 Dec 2021
Advancing Spiking Neural Networks towards Deep Residual Learning Yifan Hu Lei Deng Yujie Wu Man Yao Guoqi Li 11 78 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 14 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 17 22 0 10 Nov 2021
Backpropagation with Biologically Plausible Spatio-Temporal Adjustment For Training Deep Spiking Neural Networks Guobin Shen Dongcheng Zhao Yi Zeng 26 54 0 17 Oct 2021
StereoSpike: Depth Learning with a Spiking Neural Network Ulysse Rançon Javier Cuadrado-Anibarro Benoit R. Cottereau T. Masquelier 17 34 0 28 Sep 2021
Spiking neural networks trained via proxy Saeed Reza Kheradpisheh M. Mirsadeghi T. Masquelier 9 16 0 27 Sep 2021
Spiking Neural Networks with Improved Inherent Recurrence Dynamics for Sequential Learning Wachirawit Ponghiran Kaushik Roy 10 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 8 12 0 31 Aug 2021
Self-Supervised Learning of Event-Based Optical Flow with Spiking Neural Networks J. Hagenaars Federico Paredes-Valles Guido de Croon 11 110 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 23 23 0 27 May 2021
Pruning of Deep Spiking Neural Networks through Gradient Rewiring Yanqing Chen Zhaofei Yu Wei Fang Tiejun Huang Yonghong Tian 24 63 0 11 May 2021
Learning from Event Cameras with Sparse Spiking Convolutional Neural Networks Loic Cordone Benoit Miramond Sonia Ferrante 26 36 0 26 Apr 2021
Accurate and efficient time-domain classification with adaptive spiking recurrent neural networks Bojian Yin Federico Corradi S. Bohté 23 171 0 12 Mar 2021
Optimal Conversion of Conventional Artificial Neural Networks to Spiking Neural Networks Shi-Wee Deng Shi Gu 116 197 0 28 Feb 2021
Deep Residual Learning in Spiking Neural Networks Wei Fang Zhaofei Yu Yanqing Chen Tiejun Huang T. Masquelier Yonghong Tian 121 470 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 14 17 0 24 Jan 2021
Revisiting Batch Normalization for Training Low-latency Deep Spiking Neural Networks from Scratch Youngeun Kim Priyadarshini Panda 10 169 0 05 Oct 2020
BS4NN: Binarized Spiking Neural Networks with Temporal Coding and Learning Saeed Reza Kheradpisheh M. Mirsadeghi T. Masquelier MQ AI4CE 12 73 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 11 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 116 292 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 73 124 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 8 47 0 03 Jul 2018
Long short-term memory and learning-to-learn in networks of spiking neurons G. Bellec Darjan Salaj Anand Subramoney R. Legenstein Wolfgang Maass 111 477 0 26 Mar 2018