Fang Wang received the B.S. degree in biomedical engineering from Tianjin University, Tianjin, China, in 2010. She is currently pursuing the Ph.D. degree in biomedical engineering at Zhejiang University, Hangzhou, China. She has been working in the Qiushi Academy for Advanced Studies (QAAS) at Zhejiang University since 2010. Her research interests are adaptive signal processing, reinforcement learning and computational neuroscience.
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