Transactions on Neural Systems and Rehabilitation Engineering

Featured Articles
Decoding Movement-Related Cortical Potentials Based on Subject-Dependent and Section-Wise Spectral Filtering
An important challenge in developing a movement-related cortical potential (MRCP)-based brain-machine interface (BMI) is an accurate decoding of the user intention for real-world environments. However, the performance remains insufficient for real-time decoding owing to the endogenous signal characteristics compared to... Read more
Articles, Published Articles
Reaction Time Predicts Brain-Computer Interface Aptitude
     There is evidence that 15–30% of the general population cannot effectively operate brain–computer interfaces (BCIs). Thus the BCI performance predictors are critically required to pre-screen participants. Current neurophysiological and psychological tests either require complicated equipment or suffer from subjectivity. Thus,... Read more
Featured Articles
A High-Performance Neural Prosthesis Incorporating Discrete State Selection with Hidden Markov Models
Communication neural prostheses aim to restore efficient communication to people with paralysis and ALS.  These systems record neural signals from the brain and translate them, through a decoder algorithm, into control signals for moving an end effector.  In our study,... Read more
TBME 60th Anniversary
Brain-Computer Interfaces Using Sensorimotor Rhythms: Current State and Future Perspectives
Han Yuan, Bin He Laureate Institute for Brain Research, Tulsa, Oklahoma, USA; Department of Biomedical Engineering, University of Minnesota, Minneapolis, Minnesota, USA, Volume 61, Issue 5, Page: 1425 – 1435                           ... Read more