HAVLÍČEK, Martin, Jiri JAN, Milan BRÁZDIL and Vince D CALHOUN. Estimation of neuronal responses from fMRI data. In 2011 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC). NEW YORK: IEEE, 2011, p. 8122-8125. ISBN 978-1-4244-4122-8. Available from: https://dx.doi.org/10.1109/IEMBS.2011.6092003.
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Basic information
Original name Estimation of neuronal responses from fMRI data
Authors HAVLÍČEK, Martin, Jiri JAN, Milan BRÁZDIL and Vince D CALHOUN.
Edition NEW YORK, 2011 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), p. 8122-8125, 4 pp. 2011.
Publisher IEEE
Other information
Original language English
Type of outcome Proceedings paper
Field of Study 20600 2.6 Medical engineering
Country of publisher United States of America
Confidentiality degree is not subject to a state or trade secret
Organization unit Central European Institute of Technology
ISBN 978-1-4244-4122-8
Doi http://dx.doi.org/10.1109/IEMBS.2011.6092003
UT WoS 000298810006061
Keywords in English fMRI data; Rauch-Tung-Striebel smoother; Bayesian approach
Tags International impact
Changed by Changed by: Olga Křížová, učo 56639. Changed: 8/8/2012 11:25.
Abstract
In this paper we describe a deconvolution technique for estimation of the neuronal signal from an observed hemodynamic responses in fMRI data. Our approach, based on the Rauch-Tung-Striebel smoother for square-root cubature Kalman filter, enables us to accurately infer the hidden states, parameters, and the input of the dynamic system. Additionally, we enhance the cubature Kalman filter with a variational Bayesian approach for adaptive estimation of the measurement noise covariance.
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