Toward a universal decoder of linguistic meaning from brain activation
Previous work decoding linguistic meaning from imaging data has generally been limited to a small number of semantic categories. Here, authors show that a decoder trained on neuroimaging data of single concepts sampling the semantic space can robustly decode meanings of semantically diverse new sent...
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| Hlavní autoři: | , , , , , , , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
Nature Portfolio
2018-03-01
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| Edice: | Nature Communications |
| On-line přístup: | https://doi.org/10.1038/s41467-018-03068-4 |
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