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Achieving over 15% improvement in speech decoding accuracy across subjects reveals a breakthrough in the generalizability of brain-computer interfaces.
Non-linear cross-attention fusion outperforms traditional methods, revealing that effective semantic reconstruction hinges on integrating static and dynamic features of language comprehension.
