Explaining neural activity in human listeners with deep learning via natural language processing of narrative text

Explaining neural activity in human listeners with deep learning via natural language processing of narrative text

Abstract Deep learning (DL) approaches may also inform the analysis of human brain activity. Here, a state-of-art DL tool for natural language processing, the Generative Pre-trained Transformer version 2 (GPT-2), is shown to generate meaningful neural encodings in functional MRI during narrative lis...

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Bibliographic Details
Main Authors: Andrea G. Russo, Assunta Ciarlo, Sara Ponticorvo, Francesco Di Salle, Gioacchino Tedeschi, Fabrizio Esposito
Format: Article
Language:English
Published: Nature Portfolio 2022-10-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-022-21782-4

Internet

https://doi.org/10.1038/s41598-022-21782-4

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