Search Results - "Kiebel, S.J."

Variational Bayesian identification and prediction of stochastic nonlinear dynamic causal models by Daunizeau, J., Friston, K.J., Kiebel, S.J.

“…In this paper, we describe a general variational Bayesian approach for approximate inference on nonlinear stochastic dynamic models. This scheme extends…”
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Dynamic causal modelling for fMRI: A two-state model by Marreiros, A.C., Kiebel, S.J., Friston, K.J.

“…Dynamical causal modelling (DCM) for functional magnetic resonance imaging (fMRI) is a technique to infer directed connectivity among brain regions. These…”
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A neural mass model of spectral responses in electrophysiology by Moran, R.J., Kiebel, S.J., Stephan, K.E., Reilly, R.B., Daunizeau, J., Friston, K.J.

“…We present a neural mass model of steady-state membrane potentials measured with local field potentials or electroencephalography in the frequency domain. This…”
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Dynamic causal modelling of induced responses by Chen, C.C., Kiebel, S.J., Friston, K.J.

“…This paper describes a dynamic causal model (DCM) for induced or spectral responses as measured with the electroencephalogram (EEG) or the magnetoencephalogram…”
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Bayesian estimation of synaptic physiology from the spectral responses of neural masses by Moran, R.J., Stephan, K.E., Kiebel, S.J., Rombach, N., O'Connor, W.T., Murphy, K.J., Reilly, R.B., Friston, K.J.

“…We describe a Bayesian inference scheme for quantifying the active physiology of neuronal ensembles using local field recordings of synaptic potentials. This…”
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Changing meaning causes coupling changes within higher levels of the cortical hierarchy by Schofield, T.M, Iverson, P, Kiebel, S.J, Stephan, K.E, Kilner, J.M, Friston, K.J, Crinion, J.T, Price, C.J, Leff, A.P

“…Processing of speech and nonspeech sounds occurs bilaterally within primary auditory cortex and surrounding regions of the superior temporal gyrus; however,…”
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Nonlinear coupling in the motor system: a DCM study by Chen, C.C, Kilner, J.M, Friston, K.J., Kiebel, S.J., Jolley, R.K, Ward, N.

“…Conclusions In conclusion, we have established the prevalence of nonlinear or between-frequency coupling among distributed components of the motor system…”
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Characterization of Functional Maps using Anatomically Informed Basis Functions by Kiebel, S.J., Friston, K.J.

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Robust smoothness estimation in statistical parametric maps using residuals from the general linear model by Kiebel, S.J., Poline, J-B., Holmes, A.P., Worsley, K.J., Frackowiak, R.S.J., Friston, K.J.

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