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Connecting concepts in the brain by mapping cortical representations of semantic relations

Authors :
Yizhen Zhang
Kuan Han
Robert Worth
Zhongming Liu
Source :
Nature Communications, Vol 11, Iss 1, Pp 1-13 (2020)
Publication Year :
2020
Publisher :
Nature Portfolio, 2020.

Abstract

Researchers leverage advances in machine learning to study the brain’s mechanism for natural language processing. Results suggest that the brain represents a continuous semantic space and uses distributed cortical networks for differential coding of semantic relations.

Subjects

Subjects :
Science

Details

Language :
English
ISSN :
20411723
Volume :
11
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Nature Communications
Publication Type :
Academic Journal
Accession number :
edsdoj.99f69ca19b24eca9c4bfaffecacba19
Document Type :
article
Full Text :
https://doi.org/10.1038/s41467-020-15804-w