Kai Xu

Kai Xu received the B.S. degree in biomedical engineering from Zhejiang University, Hangzhou, China, in 2009. Currently, he is working toward the Ph.D. degree in biomedical engineering at Qiushi Academy for Advanced Studies (QAAS), Zhejiang University, Hangzhou, China. His research interests include machine learning, adaptive signal processing, GPU computing and computational neuroscience.

Associated articles

TNSRE, Featured Articles
Neural Control of a Tracking Task via Attention-Gated Reinforcement Learning for Brain-Machine Interfaces
Abstract Reinforcement learning (RL)-based brain machine interfaces (BMIs) enable the user to learn from the environment through interactions to complete the task without desired signals, which is promising for clinical applications. Previous studies exploited Q-learning techniques to discriminate neural states into simple directional actions providing the... Read more