Detail publikace

Dynamic modeling of neuronal responses in fMRI using cubature Kalman filtering

Originální název

Dynamic modeling of neuronal responses in fMRI using cubature Kalman filtering

Anglický název

Dynamic modeling of neuronal responses in fMRI using cubature Kalman filtering

Jazyk

en

Originální abstrakt

Introduction of new method for estimation of neuronal responses from hemodynamic responses of fMRI data. This method allows efficient joint estimation of hidden model states, parameters, and also input, through consequent application of cubature Kalman filter and cubature Rauch-Tung-Striebel smoother.

Anglický abstrakt

Introduction of new method for estimation of neuronal responses from hemodynamic responses of fMRI data. This method allows efficient joint estimation of hidden model states, parameters, and also input, through consequent application of cubature Kalman filter and cubature Rauch-Tung-Striebel smoother.

BibTex


@article{BUT50444,
  author="Martin {Havlíček} and Karl J. {Friston} and Jiří {Jan} and Milan {Brázdil} and V.D. {Calhoun}",
  title="Dynamic modeling of neuronal responses in fMRI using cubature Kalman filtering",
  annote="Introduction of new method for estimation of neuronal responses from hemodynamic responses of fMRI data. This method allows efficient joint estimation of hidden model states, parameters, and also input, through consequent application of cubature Kalman filter and cubature Rauch-Tung-Striebel smoother.",
  address="Elsevier",
  chapter="50444",
  doi="10.1016/j.neuroimage.2011.03.005",
  institution="Elsevier",
  number="4",
  volume="56",
  year="2011",
  month="june",
  pages="2109--2128",
  publisher="Elsevier",
  type="journal article"
}