Zheng Li

Summary

Affiliation: Duke University Medical Center
Country: USA

Publications

  1. pmc Adaptive decoding for brain-machine interfaces through Bayesian parameter updates
    Zheng Li
    Department of Neurobiology and Center for Neuroengineering, Duke University, Durham, NC 27710, U S A
    Neural Comput 23:3162-204. 2011
  2. pmc Future developments in brain-machine interface research
    Mikhail A Lebedev
    Duke University, Durham, NC, USA
    Clinics (Sao Paulo) 66:25-32. 2011
  3. pmc Unscented Kalman filter for brain-machine interfaces
    Zheng Li
    Department of Computer Science, Duke University, Durham, North Carolina, United States of America
    PLoS ONE 4:e6243. 2009

Detail Information

Publications3

  1. pmc Adaptive decoding for brain-machine interfaces through Bayesian parameter updates
    Zheng Li
    Department of Neurobiology and Center for Neuroengineering, Duke University, Durham, NC 27710, U S A
    Neural Comput 23:3162-204. 2011
    ..These results indicate that Bayesian regression self-training can maintain BMI control accuracy over long periods, making clinical neuroprosthetics more viable...
  2. pmc Future developments in brain-machine interface research
    Mikhail A Lebedev
    Duke University, Durham, NC, USA
    Clinics (Sao Paulo) 66:25-32. 2011
    ....
  3. pmc Unscented Kalman filter for brain-machine interfaces
    Zheng Li
    Department of Computer Science, Duke University, Durham, North Carolina, United States of America
    PLoS ONE 4:e6243. 2009
    ..The 10th order unscented Kalman filter outperformed the standard Kalman filter and the Wiener filter in both off-line reconstruction of movement trajectories and real-time, closed-loop BMI operation...