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Bayesian fusion and multimodal DCM for EEG and fMRI

Wei, H; Jafarian, A; Zeidman, P; Litvak, V; Razi, A; Hu, D; Friston, KJ; (2020) Bayesian fusion and multimodal DCM for EEG and fMRI. NEUROIMAGE , 211 (ARTN 116) 10.1016/j.neuroimage.2020.116595. Green open access

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Type: Article
Title: Bayesian fusion and multimodal DCM for EEG and fMRI
Open access status: An open access version is available from UCL Discovery
DOI: 10.1016/j.neuroimage.2020.116595
Keywords: Science & Technology, Life Sciences & Biomedicine, Neurosciences, Neuroimaging, Radiology, Nuclear Medicine & Medical Imaging, Neurosciences & Neurology, Multimodal data, Bayesian belief updating, Dynamic causal modelling, Canonical microcircuit neural mass model, Information gain, EVOKED-RESPONSES, CANONICAL MICROCIRCUITS, MISMATCH NEGATIVITY, NEURONAL-ACTIVITY, EEG/FMRI FUSION, BRAIN NETWORK, MODEL, CONNECTIVITY, INFORMATION, INTEGRATION
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology > Imaging Neuroscience
URI: https://discovery.ucl.ac.uk/id/eprint/10091906
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