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Efficient Super-Resolution Bayesian Eletromagnetic Brain Imaging. [PDF]
Cai C +6 more
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A Precision Computational Framework for sLORETA Neurofeedback in Mild Cognitive Impairment: Integration of qEEG Biomarkers and Neuropsychological Metrics. [PDF]
Dasilva V, Poli D, Pino O.
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Manifold lateralisation and variability in the language connectome at 7T
Dulyan L +5 more
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Hierarchical Bayesian Inference of Brain Activity
2008Magnetoencephalography (MEG) can measure brain activity with millisecond-order temporal resolution, but its spatial resolution is poor, due to the ill-posed nature of the inverse problem, for estimating source currents from the electromagnetic measurement. Therefore, prior information on the source currents is essential to solve the inverse problem.
Masa-aki Sato, Taku Yoshioka
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