Unscented Kalman Filter for Brain-Machine Interfaces
نویسندگان
چکیده
منابع مشابه
Unscented Kalman Filter for Brain-Machine Interfaces
Brain machine interfaces (BMIs) are devices that convert neural signals into commands to directly control artificial actuators, such as limb prostheses. Previous real-time methods applied to decoding behavioral commands from the activity of populations of neurons have generally relied upon linear models of neural tuning and were limited in the way they used the abundant statistical information ...
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Equation (1) is called the measurement equation. It relates the measured observable variables that provide information on αt. We use Zt ∈ M (pt ×m) to denote the matrix of factor loadings. The Ht ∈M (pt × pt) matrix is the variance-covariance matrix of the measurement noise vector, εt. Equation (2) is called the transition equation. We use Gt ∈ M (m×m) to denote the matrix of factor coefficient...
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ژورنال
عنوان ژورنال: PLoS ONE
سال: 2009
ISSN: 1932-6203
DOI: 10.1371/journal.pone.0006243