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Found 2 papers, 1 papers with code
fMRI from EEG is only Deep Learning away: the use of interpretable DL to unravel EEG-fMRI relationships
The access to activity of subcortical structures offers unique opportunity for building intention dependent brain-computer interfaces, renders abundant options for exploring a broad range of cognitive phenomena in the realm of affective neuroscience including complex decision making processes and the eternal free-will dilemma and facilitates diagnostics of a range of neurological deceases.
Ranked #1 on
Eeg Decoding
on CWL EEG/fMRI Dataset
Decoding and interpreting cortical signals with a compact convolutional neural network
Using the proposed approach to the network weights interpretation we could unravel the spatial and the spectral patterns of the neuronal processes underlying the successful decoding of finger kinematics from an ECoG dataset.
