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@article{971299,
author = {Havlíček, Martin and Friston, Karl J. and Jan, Jiří and Brázdil, Milan and Calhoun, Vince D.},
article_number = {4},
doi = {http://dx.doi.org/10.1016/j.neuroimage.2011.03.005},
keywords = {STOCHASTIC DIFFERENTIAL-EQUATIONS; BOLD HEMODYNAMIC-RESPONSES; LOCAL LINEARIZATION METHOD; CEREBRAL BLOOD-FLOW; BRAIN ACTIVATION; BALLOON MODEL; SYSTEMS; SIGNALS; NOISE; SIMULATION},
language = {eng},
issn = {1053-8119},
journal = {NeuroImage},
title = {Dynamic modeling of neuronal responses in fMRI using cubature Kalman filtering},
volume = {56},
year = {2011}
}
TY - JOUR
ID - 971299
AU - Havlíček, Martin - Friston, Karl J. - Jan, Jiří - Brázdil, Milan - Calhoun, Vince D.
PY - 2011
TI - Dynamic modeling of neuronal responses in fMRI using cubature Kalman filtering
JF - NeuroImage
VL - 56
IS - 4
SP - 2109-2128
EP - 2109-2128
PB - ACADEMIC PRESS INC ELSEVIER SCIENCE
SN - 10538119
KW - STOCHASTIC DIFFERENTIAL-EQUATIONS
KW - BOLD HEMODYNAMIC-RESPONSES
KW - LOCAL LINEARIZATION METHOD
KW - CEREBRAL BLOOD-FLOW
KW - BRAIN ACTIVATION
KW - BALLOON MODEL
KW - SYSTEMS
KW - SIGNALS
KW - NOISE
KW - SIMULATION
N2 - This paper presents a new approach to inverting (fitting) models of coupled dynamical systems based on state-of-the-art (cubature) Kalman filtering. Our scheme promises to provide a significant advance in characterizing the functional architectures of distributed neuronal systems, even in the absence of known exogenous (experimental) input; e.g., resting state fMRI studies and spontaneous fluctuations in electrophysiological studies. Importantly, unlike current Bayesian filters (e.g. DEM), our scheme provides estimates of time-varying parameters, which we will exploit in future work on the adaptation and enabling of connections in the brain.
ER -
HAVLÍČEK, Martin, Karl J. FRISTON, Jiří JAN, Milan BRÁZDIL a Vince D. CALHOUN. Dynamic modeling of neuronal responses in fMRI using cubature Kalman filtering. \textit{NeuroImage}. ACADEMIC PRESS INC ELSEVIER SCIENCE, roč.~56, č.~4, s.~2109-2128. ISSN~1053-8119. doi:10.1016/j.neuroimage.2011.03.005. 2011.
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