no code implementations • 14 Mar 2023 • Haibo Shen, Juyu Xiao, Yihao Luo, Xiang Cao, Liangqi Zhang, Tianjiang Wang
However, the unconventional visual signals of these cameras pose a great challenge to the robustness of spiking neural networks.
no code implementations • 24 Feb 2023 • Liangqi Zhang, Yihao Luo, Xiang Cao, Haibo Shen, Tianjiang Wang
Convolutional neural networks (CNNs) have achieved superior performance but still lack clarity about the nature and properties of feature extraction.
no code implementations • 24 Jul 2022 • Haibo Shen, Yihao Luo, Xiang Cao, Liangqi Zhang, Juyu Xiao, Tianjiang Wang
Consistent with the ALTP phenomenon, the AIA neuron model is adaptive to input stimuli, and internal associative learning occurs only when both dendrites are stimulated at the same time.
no code implementations • 24 Jul 2022 • Haibo Shen, Yihao Luo, Xiang Cao, Liangqi Zhang, Juyu Xiao, Tianjiang Wang
Neuromorphic vision sensors (event cameras) are inherently suitable for spiking neural networks (SNNs) and provide novel neuromorphic vision data for this biomimetic model.
1 code implementation • 21 Jul 2022 • Liangqi Zhang, Haibo Shen, Yihao Luo, Xiang Cao, Leixilan Pan, Tianjiang Wang, Qi Feng
Our VGNetG-1. 0MP achieves 67. 7% top-1 accuracy with 0. 99M parameters and 69. 2% top-1 accuracy with 1. 14M parameters on ImageNet classification dataset.
1 code implementation • 19 Mar 2021 • Yihao Luo, Juntao Zhang, Xiang Cao, Jingjuan Guo, Haibo Shen, Tianjiang Wang, Qi Feng
Instead of the original 1x1 convolution and linear upsampling, it mitigates the information loss due to channel reduction.