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

Yizhen Zhang; Kuan Han; Robert Worth; Zhongming Liu

doi:10.1038/s41467-020-15804-w

Nature Communications (Apr 2020)

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

Yizhen Zhang,
Kuan Han,
Robert Worth,
Zhongming Liu

Affiliations

Yizhen Zhang: Department of Electrical Engineering and Computer Science, University of Michigan
Kuan Han: Department of Electrical Engineering and Computer Science, University of Michigan
Robert Worth: Department of Mathematical Sciences, Indiana University–Purdue University
Zhongming Liu: Department of Electrical Engineering and Computer Science, University of Michigan

DOI: https://doi.org/10.1038/s41467-020-15804-w
Journal volume & issue: Vol. 11, no. 1
pp. 1 – 13

Abstract

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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.

Published in Nature Communications

ISSN: 2041-1723 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science
Website: https://www.nature.com/ncomms/

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