no code implementations • 18 Oct 2022 • Shengjie Zheng, Ling Liu, Junjie Yang, Jianwei Zhang, Tao Su, Bin Yue, Xiaojian Li
The development of artificial intelligence (AI) and robotics are both based on the tenet of "science and technology are people-oriented", and both need to achieve efficient communication with the human brain.
1 code implementation • 18 Jul 2022 • Wenyi Li, Shengjie Zheng, Yufan Liao, Rongqi Hong, Weiliang Chen, Chenggnag He, Xiaojian Li
In this paper, we propose a deep learning neural network architecture with biological properties to reconstruct visual image from spike trains.
no code implementations • 24 May 2022 • Lang Qian, Shengjie Zheng, Chunshan Deng, Cheng Yang, Xiaojian Li
But for BCIs used in neuroscience research, it is important to separate out the activity of individual neurons.
no code implementations • CVPR 2022 • Tuo Cao, Fei Luo, Yanping Fu, Wenxiao Zhang, Shengjie Zheng, Chunxia Xiao
To this end, we proposed a Depth-Guided Edge Convolutional Network (DGECN) for 6D pose estimation task.
no code implementations • 9 Apr 2022 • Shengjie Zheng, Lang Qian, Pingsheng Li, Chenggang He, Xiaoqin Qin, Xiaojian Li
This review introduces the following sections, the biological background of spiking neurons and the theoretical basis, different neuronal models, the connectivity of neural circuits, the mainstream neural network learning mechanisms and network architectures, etc.
no code implementations • 26 Mar 2022 • Shengjie Zheng, Wenyi Li, Lang Qian, Chenggang He, Xiaojian Li
However, obtaining sufficient training data is difficult as well as limited.