- Low-dimensional neural features predict muscle EMG signalsZuley Rivera-Alvidrez
Department of Electrical Engineering, Stanford University, CA 94305, USA
Conf Proc IEEE Eng Med Biol Soc 2010:6027-33. 2010..Furthermore, our ability to predict EMG features across different movements suggests that there are fundamental axes or directions in the low-D neural space along which the neural population activity moves to activate particular muscles...
- Long-term stability of neural prosthetic control signals from silicon cortical arrays in rhesus macaque motor cortexCynthia A Chestek
Department of Electrical Engineering, Stanford University, Stanford, CA, USA
J Neural Eng 8:045005. 2011..This suggests that neural prosthetic systems may provide high performance over multiple years in human clinical trials...