Shaomin Zhang received the B.S. and Ph.D. degrees in biomedical engineering from Zhejiang University, Hangzhou, China, in 2002 and 2007, respectively. He joined the faculty at Zhejiang University, Hangzhou, China, in 2007 and is currently an Associated Professor at Qiushi Academy for Advanced Studies. His research focuses on the chronic neural recording and decoding in large cortical ensembles and the development of brain-machine interfaces (BMIs).
TBME, Featured ArticlesTracking Neural Modulation Depth by Dual Sequential Monte Carlo Estimation on Point Processes for Brain Machine Interfaces
Yiwen Wang, Xiwei She, Yuxi Liao, Hongbao Li, Qiaosheng Zhang, Shaomin Zhang, Xiaoxiang Zheng, Jose C. Principe
Yiwen Wang, Xiwei She, Yuxi Liao, Hongbao Li, Qiaosheng Zhang, Shaomin Zhang, Xiaoxiang Zheng and Jose Principe. Zhejiang University and University of Florida Classic Brain Machine Interface (BMI) approaches decode neural signals from the brain responsible for achieving specific motor movements,... Read more
Posted on 31 JUL 2016
TNSRE, Featured ArticlesNeural 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
Posted on 6 MAY 2015