A Real-Time Brain-Machine Interface Combining Motor Target and Trajectory Intent Using an Optimal Feedback Control Design

@inproceedings{Shanechi2013ARB,
  title={A Real-Time Brain-Machine Interface Combining Motor Target and Trajectory Intent Using an Optimal Feedback Control Design},
  author={Maryam M. Shanechi and Ziv M. Williams and Gregory W. Wornell and Rollin Hu and Marissa Powers and Emery N. Brown},
  booktitle={PloS one},
  year={2013}
}
Real-time brain-machine interfaces (BMI) have focused on either estimating the continuous movement trajectory or target intent. However, natural movement often incorporates both. Additionally, BMIs can be modeled as a feedback control system in which the subject modulates the neural activity to move the prosthetic device towards a desired target while receiving real-time sensory feedback of the state of the movement. We develop a novel real-time BMI using an optimal feedback control design that… CONTINUE READING
Highly Cited
This paper has 73 citations. REVIEW CITATIONS
Recent Discussions
This paper has been referenced on Twitter 1 time over the past 90 days. VIEW TWEETS

5 Figures & Tables

Topics

Statistics

0102030201320142015201620172018
Citations per Year

73 Citations

Semantic Scholar estimates that this publication has 73 citations based on the available data.

See our FAQ for additional information.