Yijun Wang (M’11) received his B.E. and Ph.D. degrees in biomedical engineering from Tsinghua University, Beijing, China, in 2001 and 2007, respectively. From 2008 to 2015, he was first a postdoctoral researcher and later an assistant project scientist at the Swartz Center for Computational Neuroscience, University of California San Diego. Since 2015, he has been a research fellow with the Institute of Semiconductors, Chinese Academy of Sciences. His research interests include brain-computer interface, biomedical signal processing, and machine learning.
TNSRE, Featured ArticlesA Benchmark Dataset for SSVEP-Based Brain-Computer Interfaces
This paper presents a benchmark steady-state visual evoked potential (SSVEP) dataset acquired with a 40-target brain-computer interface (BCI) speller. The dataset consists of 64-channel Electroencephalogram (EEG) data from 35 healthy subjects (8 experienced and 27 naïve) while they performed a... Read more
Posted on 2 OCT 2017