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HiRA-CAM achieves superior saliency maps by leveraging all layers of a CNN, revealing fine-grained spatial relevance that previous methods miss.
Grid cells can reduce spatial aliasing by up to 99%, transforming how we understand place representation in complex environments.
Region-Bridge-$c$ topology not only enhances epileptogenic zone localization but does so with 69% fewer edges than dense graph models.
