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

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.

Bibliographic Details
Main Authors: Yizhen Zhang, Kuan Han, Robert Worth, Zhongming Liu
Format: Article
Language:English
Published: Nature Portfolio 2020-04-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-020-15804-w
Description
Summary: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.
ISSN:2041-1723