Zuley Rivera-Alvidrez

Summary

Affiliation: Stanford University
Country: USA

Publications

  1. doi Low-dimensional neural features predict muscle EMG signals
    Zuley Rivera-Alvidrez
    Department of Electrical Engineering, Stanford University, CA 94305, USA
    Conf Proc IEEE Eng Med Biol Soc 2010:6027-33. 2010
  2. pmc Long-term stability of neural prosthetic control signals from silicon cortical arrays in rhesus macaque motor cortex
    Cynthia A Chestek
    Department of Electrical Engineering, Stanford University, Stanford, CA, USA
    J Neural Eng 8:045005. 2011

Collaborators

Detail Information

Publications2

  1. doi Low-dimensional neural features predict muscle EMG signals
    Zuley 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...
  2. pmc Long-term stability of neural prosthetic control signals from silicon cortical arrays in rhesus macaque motor cortex
    Cynthia 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...