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@inproceedings{988740, author = {Havlíček, Martin and Jan, Jiri and Brázdil, Milan and Calhoun, Vince D}, address = {NEW YORK}, booktitle = {2011 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC)}, doi = {http://dx.doi.org/10.1109/IEMBS.2011.6092003}, keywords = {fMRI data; Rauch-Tung-Striebel smoother; Bayesian approach}, language = {eng}, location = {NEW YORK}, isbn = {978-1-4244-4122-8}, pages = {8122-8125}, publisher = {IEEE}, title = {Estimation of neuronal responses from fMRI data}, year = {2011} }
TY - JOUR ID - 988740 AU - Havlíček, Martin - Jan, Jiri - Brázdil, Milan - Calhoun, Vince D PY - 2011 TI - Estimation of neuronal responses from fMRI data PB - IEEE CY - NEW YORK SN - 9781424441228 KW - fMRI data KW - Rauch-Tung-Striebel smoother KW - Bayesian approach N2 - 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. ER -
HAVLÍČEK, Martin, Jiri JAN, Milan BRÁZDIL and Vince D CALHOUN. Estimation of neuronal responses from fMRI data. In \textit{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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