HIGHLIGHTS
- What: The model is trained to associate the EEG segment with the matched speech segment among two presented speech segments. Once the model is fine-tuned, the authors evaluate it on the selected subject. As the model was trained uniquely on Dutch before, the model might not have learned the typical brain response to Frisian linguistics, or scrambled Dutch, thus leading to overfitting on Dutch, impairing the objective measure of linguistics tracking on other language conditions. The authors investigated the impact of language understanding on the neural tracking of linguistics.
- Who: Corentin Puffay from the . . .
If you want to have access to all the content you need to log in!
Thanks :)
If you don't have an account, you can create one here.