A multi-feature fusion framework combining static lexical representations (W2V) with dynamic contextual representations (GPT) achieved state-of-the-art performance in semantic reconstruction from non-invasive brain recordings. The study benchmarked linear Naive Concatenation against non-linear Multi-Head Cross-Attention, finding a performance hierarchy of Cross-Att > Concat > GPT > W2V.
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