Decoupling Time and Space: A Temporally Conditioned Refinement for EEG Source Imaging
Electroencephalography (EEG) offers millisecond temporal resolution, but inferring underlying neural sources is a severely ill-posed spatial inverse problem. While deep learning has advanced spatial reconstruction, current architectures face a critical dilemma: frame-by-frame models discard vital temporal context, wher...
Marco Morik, Jesse Palarus, C. Vidaurre et al.
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