MT-SNN: Enhance Spiking Neural Network with Multiple Thresholds

20 March 2023

Papers citing "MT-SNN: Enhance Spiking Neural Network with Multiple Thresholds"

7 / 7 papers shown

Title
Direct Training High-Performance Deep Spiking Neural Networks: A Review of Theories and Methods Chenlin Zhou Han Zhang Liutao Yu Yumin Ye Zhaokun Zhou Liwei Huang Zhengyu Ma Xiaopeng Fan Huihui Zhou Yonghong Tian 46 10 0 06 May 2024
LM-HT SNN: Enhancing the Performance of SNN to ANN Counterpart through Learnable Multi-hierarchical Threshold Model Zecheng Hao Xinyu Shi Zhiyu Pan Yujia Liu Zhaofei Yu Tiejun Huang 29 4 0 01 Feb 2024
Direct Learning-Based Deep Spiking Neural Networks: A Review Yu-Zhu Guo Xuhui Huang Zhe Ma AI4CE 77 47 0 31 May 2023
Spikformer: When Spiking Neural Network Meets Transformer Zhaokun Zhou Yuesheng Zhu Chao He Yaowei Wang Shuicheng Yan Yonghong Tian Liuliang Yuan 145 241 0 29 Sep 2022
MLP-Mixer: An all-MLP Architecture for Vision Ilya O. Tolstikhin N. Houlsby Alexander Kolesnikov Lucas Beyer Xiaohua Zhai ... Andreas Steiner Daniel Keysers Jakob Uszkoreit Mario Lucic Alexey Dosovitskiy 271 2,603 0 04 May 2021
Optimal Conversion of Conventional Artificial Neural Networks to Spiking Neural Networks Shi-Wee Deng Shi Gu 118 200 0 28 Feb 2021
Deep Residual Learning in Spiking Neural Networks Wei Fang Zhaofei Yu Yanqing Chen Tiejun Huang T. Masquelier Yonghong Tian 123 477 0 08 Feb 2021