Article

Driving and suppressing the human language network using large language models

2023-04-16

Abstract excerpt

Transformer models such as GPT generate human-like language and are highly predictive of human brain responses to language. Here, using fMRI-measured brain responses to 1,000 diverse sentences, we first show that a GPT-based encoding model can predict the magnitude of brain response associated with each sentence. Then, we use the model to identify new sentences that are predicted to drive or suppress responses in...

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Literature Corpus work: a57ac216-b1b7-5b19-b002-83463cee9234
DOI: 10.1101/2023.04.16.537080

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