2 citations · 4 across the 4 of their papers we have counts for
4 papers
The Brain-Inspired Cooperative Shared Control Framework for Brain-Machine Interface
Junjie Yang, Ling Liu, Shengjie Zheng +4
In brain-machine interface (BMI) applications, a key challenge is the low information content and high noise level in neural signals, severely affecting stable robotic control. To…
An Adaptive Contrastive Learning Model for Spike Sorting
Lang Qian, Shengjie Zheng, Chunshan Deng +2
Brain-computer interfaces (BCIs), is ways for electronic devices to communicate directly with the brain. For most medical-type brain-computer interface tasks, the activity of multi…
An Introductory Review of Spiking Neural Network and Artificial Neural Network: From Biological Intelligence to Artificial Intelligence
Shengjie Zheng, Lang Qian, Pingsheng Li +3
Recently, stemming from the rapid development of artificial intelligence, which has gained expansive success in pattern recognition, robotics, and bioinformatics, neuroscience is a…
A Spiking Neural Network based on Neural Manifold for Augmenting Intracortical Brain-Computer Interface Data
Shengjie Zheng, Wenyi Li, Lang Qian +2
Brain-computer interfaces (BCIs), transform neural signals in the brain into in-structions to control external devices. However, obtaining sufficient training data is difficult as…