Toward a universal decoder of linguistic meaning from brain activation

Prior work decoding linguistic meaning from imaging data has been largely limited to concrete nouns, using similar stimuli for training and testing, from a relatively small number of semantic categories. Here we present a new approach for building a brain decoding system in which words and sentences...

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Bibliographic Details
Main Authors: Pereira, Francisco, Lou, Bin, Ritter, Samuel, Gershman, Samuel J., Botvinick, Matthew, Pritchett, Brianna L, Kanwisher, Nancy, Fedorenko, Evelina G
Other Authors: Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences
Format: Article
Published: Nature Publishing Group 2018
Online Access:http://hdl.handle.net/1721.1/115267
https://orcid.org/0000-0003-3853-7885
https://orcid.org/0000-0003-3823-514X