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A state-space model of the hemodynamic approach: nonlinear filtering of BOLD signals
In this paper, a new procedure is presented which allows the estimation of the states and parameters of the hemodynamic approach from blood oxygenation level dependent (BOLD) responses. The proposedExpand
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Model driven EEG/fMRI fusion of brain oscillations
This article reviews progress and challenges in model driven EEG/fMRI fusion with a focus on brain oscillations. Fusion is the combination of both imaging modalities based on a cascade of forwardExpand
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Estimation for nonlinear stochastic differential equations by a local linearization method 1
This paper proposes a new local linearization method which approximates a nonlinear stochastic differential equation by a linear stochastic differential equation. Using this method, we can estimateExpand
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A parameter optimization method for radial basis function type models
This paper considers the nonlinear systems modeling problem for control. A structured nonlinear parameter optimization method (SNPOM) adapted to radial basis function (RBF) networks and an RBFExpand
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A solution to the dynamical inverse problem of EEG generation using spatiotemporal Kalman filtering
We present a new approach for estimating solutions of the dynamical inverse problem of EEG generation. In contrast to previous approaches, we reinterpret this problem as a filtering problem in aExpand
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Evaluating the Performance of Kalman-Filter-Based EEG Source Localization
Electroencephalographic (EEG) source localization is an important tool for noninvasive study of brain dynamics, due to its ability to probe neural activity more directly, with better temporalExpand
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A statistical method of estimation and simulation for systems of stochastic differential equations
SUMMARY This paper proposes a new statistical method of estimation and simulation for systems of stochastic differential equations. By using this method, we can easily derive a discretised processExpand
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Vascular-targeted overexpression of G protein-coupled receptor kinase-2 in transgenic mice attenuates beta-adrenergic receptor signaling and increases resting blood pressure.
Cardiovascular regulation is tightly controlled by signaling through G protein-coupled receptors (GPCRs). beta-Adrenergic receptors (ARs) are GPCRs that regulate inotropy and chronotropy in the heartExpand
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Asymmetric control mechanisms of bimanual coordination: An application of directed connectivity analysis to kinematic and functional MRI data
Mirror-symmetrical bimanual movement is more stable than parallel bimanual movement. This is well established at the kinematic level. We used functional MRI (fMRI) to evaluate the neural substratesExpand
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