most citedEEG-Transformer: Self-attention from Transformer Architecture for Decoding EEG of Imagined Speech

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cs.CL2023

Brain-Driven Representation Learning Based on Diffusion Model

Soowon Kim, Seo-Hyun Lee, Young-Eun Lee +3

Interpreting EEG signals linked to spoken language presents a complex challenge, given the data's intricate temporal and spatial attributes, as well as the various noise factors. D…