Driving and suppressing the human language network using large language models

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...

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Detalles Bibliográficos
Autores principales: Tuckute, Greta, Sathe, Aalok, Srikant, Shashank, Taliaferro, Maya, Wang, Mingye, Schrimpf, Martin, Kay, Kendrick, Fedorenko, Evelina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10120732/
https://www.ncbi.nlm.nih.gov/pubmed/37090673
http://dx.doi.org/10.1101/2023.04.16.537080

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10120732/
https://www.ncbi.nlm.nih.gov/pubmed/37090673
http://dx.doi.org/10.1101/2023.04.16.537080

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