Epilepsy detection across patients with different electrode layouts: MOSAIC infers channel graphs and steadies them by self-distillation
Intracranial EEG electrode count and placement differ from patient to patient, so detectors with a fixed channel topology generalize poorly under subject-independent evaluation. MOSAIC encodes each channel with a shared convolutional encoder, then a single channel-attention layer infers a weighted inter-channel adjacency from the encoded features without any preset montage graph; an exponential moving average self-distillation term pulls each window's adjacency toward a slowly updated per-patient teacher. Across four public iEEG corpora, MOSAIC's F2 on both the SWEC-ETHZ short-term and long-term corpora exceeds the listed baselines, by 1.8 points over the strongest baseline on the short-term corpus and 3.3 points on the long-term one.