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#machine learning Preprint Sep 2026

EEGBind: Detecting Source-Level Interictal Epileptiform Discharges via EEG-Centric Multimodal Binding

Source-level analysis of interictal epileptiform discharges (IEDs) is relevant to presurgical evaluation and treatment planning because it helps characterize where epileptiform activity is likely to arise. Beyond detecting whether an IED is present, this setting requires assigning IED-positive activity to clinically me...

Muhang Li, Ang-Lin Liu, Xue-Tian Gao et al. · 0 citations
Open access Jul 2026

Computational demands shape seizure susceptibility in recurrent neural networks

Brain areas differ in their inherent susceptibility to focal seizures, but the principles governing this risk remain unclear. While prior work has focused on anatomical and physiological factors, here we observed a fundamental contribution from the computations performed by the underlying neural network. Handcrafted an...

Muhang Li, Sebastian Eydam, Ismaeel Ramzan et al. · 0 citations

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