Transactions on Neural Systems and Rehabilitation Engineering

Featured Articles
Decoding Movement-Related Cortical Potentials Based on Subject-Dependent and Section-Wise Spectral Filtering
Ji-Hoon Jeong, No-Sang Kwak, Seong-Whan Lee, Cuntai Guan
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
Posted on 10 MAR 2020
Articles, Published Articles
Reaction Time Predicts Brain-Computer Interface Aptitude
Sam Darvishi, Alireza Gharabaghi, Michael C. Ridding, Derek Abbott, Mathias Baumert
     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
Posted on 21 NOV 2018
Featured Articles
A High-Performance Neural Prosthesis Incorporating Discrete State Selection with Hidden Markov Models
Jonathan C. Kao, Paul Nuyujukian, Stephen I. Ryu, Krishna V. Shenoy
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
Posted on 21 MAR 2017
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
Posted on 24 APR 2014