Publication result detail

Dynamic modeling of neuronal responses in fMRI using cubature Kalman filtering

HAVLÍČEK, M.; FRISTON, K.; JAN, J.; BRÁZDIL, M.; CALHOUN, V.

Original Title

Dynamic modeling of neuronal responses in fMRI using cubature Kalman filtering

English Title

Dynamic modeling of neuronal responses in fMRI using cubature Kalman filtering

Type

WoS Article

Original Abstract

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.

English abstract

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.

Keywords

neuronal, deconvolution, fMRI, cubature, Kalman, smoother, hemodynamic model

Key words in English

neuronal, deconvolution, fMRI, cubature, Kalman, smoother, hemodynamic model

Authors

HAVLÍČEK, M.; FRISTON, K.; JAN, J.; BRÁZDIL, M.; CALHOUN, V.

RIV year

2012

Released

15.06.2011

Publisher

Elsevier

Location

USA

ISBN

1053-8119

Periodical

NEUROIMAGE

Volume

56

Number

4

State

United States of America

Pages from

2109

Pages to

2128

Pages count

21

Full text in the Digital Library

http://hdl.handle.net/

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",
  journal="NEUROIMAGE",
  year="2011",
  volume="56",
  number="4",
  pages="2109--2128",
  doi="10.1016/j.neuroimage.2011.03.005",
  issn="1053-8119"
}