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