Deep language algorithms predict semantic comprehension from brain activity

HIGHLIGHTS

• who: Charlotte Caucheteux from the CEA PSL University have published the Article: Deep language algorithms predict semantic comprehension from brain activity, in the Journal: Scientific Reports Scientific Reports of 17/Nov/2021
• what: The authors evaluate the predictability of fMRI given low-level phonological features: the word rate, phoneme rate, phonemes, stress and tone of the narrative (cf. To tackle this issue, the authors compare the correlations obtained from GPT-2`s word embedding (i.e. layer 0) to those obtained from GPT-2`s eighth layer, i.e. a contextual embedding. The authors investigate . . .
  

   

  

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