<ul><li>A novel deep learning pipeline has been introduced to decode individual words from non-invasive brain recordings.</li><li>The approach has been trained and evaluated on 723 participants exposed to five million words in different languages.</li><li>The model outperforms existing methods consistently across participants, devices, languages, and tasks.</li><li>The study highlights the importance of the recording device, experimental protocol, and amount of data used for training and testing.</li></ul>

Decoding individual words from non-invasive brain recordings across 723 participants

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