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Titlebook: Electromagnetic Brain Imaging; A Bayesian Perspecti Kensuke Sekihara,Srikantan S. Nagarajan Textbook 2015 Springer International Publishing

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11#
發(fā)表于 2025-3-23 13:37:59 | 只看該作者
A Unified Bayesian Framework for MEG/EEG Source Imaging,Magnetoencephalography (MEG) and related electroencephalography (EEG) use an array of sensors to take electromagnetic field (or voltage) measurements from on or near the scalp surface with excellent temporal resolution.
12#
發(fā)表于 2025-3-23 17:33:09 | 只看該作者
13#
發(fā)表于 2025-3-23 21:42:43 | 只看該作者
Estimation of Causal Networks: Source-Space Causality Analysis,This chapter reviews the methodology for estimating causal relationships among cortical activities in MEG/EEG source space analysis.
14#
發(fā)表于 2025-3-24 01:21:13 | 只看該作者
15#
發(fā)表于 2025-3-24 02:38:52 | 只看該作者
978-3-319-35643-3Springer International Publishing Switzerland 2015
16#
發(fā)表于 2025-3-24 07:55:52 | 只看該作者
https://doi.org/10.1007/978-3-319-14947-9Bayesian algorithms; Brain source reconstruction methods using MEG and EEG; Electromagnetic brain imag
17#
發(fā)表于 2025-3-24 13:08:42 | 只看該作者
https://doi.org/10.1007/978-3-7091-7843-0ging (fMRI) has been the predominant modality for imaging the functioning brain since the middle of the 1990s. fMRI measures changes in blood oxygenation-level-dependent (BOLD) signals caused by neuronal activation. It is a noninvasive method that allows for whole-brain measurement and the examinati
18#
發(fā)表于 2025-3-24 17:57:41 | 只看該作者
19#
發(fā)表于 2025-3-24 20:41:40 | 只看該作者
Kensuke Sekihara,Srikantan S. NagarajanProvides a theoretical framework for source imaging methodology.Specific focus on Bayesian algorithms.Unique approach to the recent advances.Includes supplementary material:
20#
發(fā)表于 2025-3-25 00:46:56 | 只看該作者
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