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Russian-language neurosemantics: Clusterizing of words meaning and sense from the oral narrativesстатья Исследовательская статья
Статья опубликована в высокорейтинговом журнале
Информация о цитировании статьи получена из
Web of Science,
Scopus
Статья опубликована в журнале из списка Web of Science и/или Scopus
Дата последнего поиска статьи во внешних источниках: 23 сентября 2021 г.
- Авторы: Zaidelman L.Y., Nosovets Z.A., Kotov A.A., Ushakov V.L., Zabotkina V.I., Velichkovsky B.M.
- Журнал: Cognitive Systems Research
- Том: 67
- Год издания: 2021
- Издательство: Elsevier BV
- Местоположение издательства: Netherlands
- Первая страница: 60
- Последняя страница: 65
- DOI: 10.1016/j.cogsys.2021.01.001
- Аннотация: This article is a part of a large-scale brain mapping project aimed at finding the correspondence of the semantic categories in oral Russian-language texts and the brain activity as measured in magnetic resonance scanner. The goal of present study in particular is to examine the nature of lexical semantic relations and find the appropriate lexical space, homeomorphic to the activation patterns in the brain. We present oral narratives, which described significant so-cial problems from the first-person perspective, as stimuli and apply different annotation methods to encode the semantic information of words. Two approaches to annotation are described in the article: a dictionary method and a vector one. We also register fMRI signal and find clusters of words in input texts that have similar patterns of brain activation across subjects. These neurosemantic clusters are described in the article. Our results show that annotation by a list of features more strongly contributes to prediction of the observed acti-vation patterns. These results also confirm the hypothesis of situational seman-tic representation in the brain.
- Добавил в систему: Ушаков Вадим Леонидович