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.

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Detalles Bibliográficos
Autores principales: Yizhen Zhang, Kuan Han, Robert Worth, Zhongming Liu
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2020
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Acceso en línea:https://doaj.org/article/e99f69ca19b24eca9c4bfaffecacba19
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Sumario: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.