Paul Nuyujukian (S05-M13) received the B.S. degree in cybernetics from the University of California, Los Angeles, in 2006. He received an M.S. and Ph.D. degrees in bioengineering and M.D degree from Stanford University in 2011, 2012, and 2014, respectively. He is currently a postdoctoral scholar in the department of Neurosurgery at Stanford University. His research interests include the development and clinical translation of neural prostheses.
TBME, Featured ArticlesA 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
Posted on 21 MAR 2017
TBME, Featured ArticlesFeasibility of Automatic Error Detect-and-Undo System in Human Intracortical Brain-Computer Interfaces
Nir Evan-Chen, Sergey D. Stavisky, Chethan Pandarinath, Paul Nuyujukian, Chrstine H. Blabe, Leigh R. Hochberg, Jaimie M. Henderson, Krishna V. Shenoy
Brain-computer interfaces (BCIs) aim to help people with paralysis to improve their communication and independence. Intracortical BCIs (iBCIs) have shown promising results in pilot clinical trials. Despite the performance improvements over the last decades, BCI systems still make errors that... Read more
Posted on 30 JUL 2018