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...
Saved in:
| Main Authors: | , , , , , , , |
|---|---|
| Format: | article |
| Language: | EN |
| Published: |
Nature Portfolio
2018
|
| Subjects: | |
| Online Access: | https://doaj.org/article/4eab538b394d41aca61a5cfdc4d5c391 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|