Fusing non-simultaneous multimodal data to understand neural dynamics across timescales





This lecture will discuss approaches to uniting MEG and fMRI signals acquired in separate (non-simultaneous) studies, to understand the dynamics of cognitive and perceptual processes across multiple timescales. Topics will include classification and representational similarity approaches for linking neural computations across modalities, fusion of non-simultaneously acquired MEG and fMRI data, and showcasing applications in cognitive neuroscience.