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Non-linear cross-attention fusion outperforms traditional methods, revealing that effective semantic reconstruction hinges on integrating static and dynamic features of language comprehension.
Synthetic eye movement data can reliably identify neurophysiological abnormalities, paving the way for accessible and efficient diagnostic tools.