Unscented Kalman Filter for Brain-Machine Interfaces

Open Access

Peer-reviewed

Research Article

Zheng Li,

Affiliation Department of Computer Science, Duke University, Durham, North Carolina, United States of America
⨯
Joseph E. O'Doherty,

Affiliation Department of Biomedical Engineering, Duke University, Durham, North Carolina, United States of America
⨯
Timothy L. Hanson,

Affiliation Department of Neurobiology, Duke University, Durham, North Carolina, United States of America
⨯
Mikhail A. Lebedev,

Affiliation Department of Neurobiology, Duke University, Durham, North Carolina, United States of America
⨯
Craig S. Henriquez,

Affiliations Department of Biomedical Engineering, Duke University, Durham, North Carolina, United States of America, Duke Center for Neuroengineering, Duke University, Durham, North Carolina, United States of America
⨯
Miguel A. L. Nicolelis

* E-mail: nicoleli@neuro.duke.edu

Affiliations Department of Biomedical Engineering, Duke University, Durham, North Carolina, United States of America, Department of Neurobiology, Duke University, Durham, North Carolina, United States of America, Department of Psychology and Neuroscience, Duke University, Durham, North Carolina, United States of America, Duke Center for Neuroengineering, Duke University, Durham, North Carolina, United States of America, Edmond and Lily Safra International Institute of Neuroscience of Natal, Natal, Brazil
⨯

Reader Comments

:
http://plosone.org/article/info:doi/10.1371/journal.pone.0006243#article1.body1.sec4.sec6.p14

the K in equation 14 should be subscripted with a t, to indicate the dependence on time of the Kalman gain. In subsequent equations, e.g. 16, K is subscripted correctly.

No competing interests declared.

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