Unifying Activation- and Timing-based Learning Rules for Spiking Neural Networks

4 June 2020

Papers citing "Unifying Activation- and Timing-based Learning Rules for Spiking Neural Networks"

11 / 11 papers shown

Title
DISTA: Denoising Spiking Transformer with intrinsic plasticity and spatiotemporal attention Boxun Xu Hejia Geng Yuxuan Yin Peng Li 33 2 0 15 Nov 2023
Constructing Deep Spiking Neural Networks from Artificial Neural Networks with Knowledge Distillation Qi Xu Yaxin Li Jiangrong Shen Jian K. Liu Huajin Tang Gang Pan 27 62 0 12 Apr 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
Bridging the Gap between ANNs and SNNs by Calibrating Offset Spikes Zecheng Hao Jianhao Ding Tong Bu Tiejun Huang Zhaofei Yu 43 40 0 21 Feb 2023
Reducing ANN-SNN Conversion Error through Residual Membrane Potential Zecheng Hao Tong Bu Jianhao Ding Tiejun Huang Zhaofei Yu 33 54 0 04 Feb 2023
Training Full Spike Neural Networks via Auxiliary Accumulation Pathway Guangyao Chen Peixi Peng Guoqi Li Yonghong Tian 34 23 0 27 Jan 2023
Online Training Through Time for Spiking Neural Networks Mingqing Xiao Qingyan Meng Zongpeng Zhang D.K. He Zhouchen Lin 50 61 0 09 Oct 2022
Optimized Potential Initialization for Low-latency Spiking Neural Networks Tong Bu Jianhao Ding Zhaofei Yu Tiejun Huang 106 89 0 03 Feb 2022
BioLeaF: A Bio-plausible Learning Framework for Training of Spiking Neural Networks Yukun Yang Peng Li 32 3 0 14 Nov 2021
Backpropagated Neighborhood Aggregation for Accurate Training of Spiking Neural Networks Yukun Yang Wenrui Zhang Peng Li AAML 116 25 0 22 Jun 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