The neural architecture of language: Integrative modeling converges on predictive processing

The neural architecture of language: Integrative modeling converges on predictive processing

<jats:p>The neuroscience of perception has recently been revolutionized with an integrative modeling approach in which computation, brain function, and behavior are linked across many datasets and many computational models. By revealing trends across models, this approach yields novel insights...

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Bibliografiske detaljer
Main Authors: Schrimpf, Martin, Blank, Idan Asher, Tuckute, Greta, Kauf, Carina, Hosseini, Eghbal A, Kanwisher, Nancy, Tenenbaum, Joshua B, Fedorenko, Evelina
Andre forfattere: Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences
Format: Article
Sprog:English
Udgivet: Proceedings of the National Academy of Sciences 2021
Online adgang:https://hdl.handle.net/1721.1/138214

Internet

https://hdl.handle.net/1721.1/138214

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