Comparing dynamic causal models of neurovascular coupling with fMRI and EEG/MEGDynamic causal modellingMultimodalNeurovascular couplingNeural mass modelsBayesian model comparisonThis technical note presents a d
Kiebel SJ, Garrido MI, Moran RJ, Friston KJ (2008) Dynamic causal mod- elling for EEG and MEG. Cogn Neurodyn 2:121-136. CrossRef MedlineKiebel SJ, Garrido MI, Moran RJ, Friston KJ. Dynamic causal modelling for EEG and MEG. Cogn Neurodyn 2008b; 2: 12136....
Dynamic causal modelling for EEG and MEG Cogn. Neurodyn., 2 (2) (2008), pp. 121-136, 10.1007/s11571-008-9038-0 View in ScopusGoogle Scholar Kok et al., 2011 P. Kok, D. Rahnev, J.F.M. Jehee, H.C. Lau, F.P. de Lange Attention reverses the effect of prediction in silencing...
Dynamic causal modeling (DCM) is now widely employed to explore causality between neural systems based on neuroimaging data obtained using methods such as electroencephalography (EEG), magnetoencephalography (MEG), and functional magnetic resonance imaging (fMRI)1–3. DCM is based on a neurobiology...
dynamic causal modelling spectral synchronisation 摘要 This paper describes a dynamic causal model (DCM) for induced or spectral responses as measured with the electroencephalogram ( EEG) or the magnetoencephalogram (MEG). We model the time-varying power, over a range of frequencies, as the respons...
Friston KJ et al (2003) Dynamic causal modelling. Neuroimage 19(4):1273–1302PubMedCrossRef Friston K et al (2007) Variational free energy and the Laplace approximation. Neuroimage 34(1):220–234PubMedCrossRef Friston K et al (2008) Multiple sparse priors for the M/EEG inverse problem...
Dynamic causal modelling (DCM) (Friston et al., 2003) is a technique designed to investigate the influence between brain areas using time series data obtained by EEG/MEG or functional magnetic resonance imaging (fMRI). The basic idea is to fit various models to time series data, and select...
Movement, cognition and perception arise from the collective activity of neurons within cortical circuits and across large-scale systems of the brain. While the causes of single neuron spikes have been understood for decades, the processes that support collective neural behavior in large-scale cortical...
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Dynamic causal modelling for EEG and MEG Cogn Neurodyn, 2 (2008), pp. 121-136, 10.1007/s11571-008-9038-0 View in ScopusGoogle Scholar KLINGNER et al., 2015 C.M. Klingner, S. Brodoehl, R. Huonker, et al. Parallel processing of somatosensory information: e- vidence from dynamic causal...