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

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

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...

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Bibliographic Details
Main Authors: Modir Shanechi, Maryam (Contributor), Williams, Ziv M. (Author), Hu, Rollin (Author), Powers, Marissa (Author), Wornell, Gregory W (Author), Brown, Emery Neal (Author)
Other Authors: Massachusetts Institute of Technology. Institute for Medical Engineering & Science (Contributor), Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences (Contributor), Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor), Brown, Emery N. (Contributor), Wornell, Gregory W. (Contributor)
Format: Article
Language:English
Published: Public Library of Science, 2013-07-25T19:15:46Z.
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