Publication:
Neurophysiological Correlators of Semantic Features

dc.contributor.authorOrlov, V.
dc.contributor.authorStroganova, T.
dc.contributor.authorVelichkovskiy, B.
dc.contributor.authorKorosteleva, A.
dc.contributor.authorUshakov, V.
dc.contributor.authorУшаков, Вадим Леонидович
dc.date.accessioned2024-11-25T14:50:12Z
dc.date.available2024-11-25T14:50:12Z
dc.date.issued2020
dc.description.abstract© 2020, Springer Nature Switzerland AG.The article presents the result of fMRI data processing - a map and characteristics of brain activity in the process of monitoring human speech activity. Experimental data calculated by 8 subjects. The main goal of the work was to localize the spatial and temporal dynamics of the neural networks of the cortex, which is responsible for the mechanism of verbal control. The secondary goal of the work was to recognize and remove noise components from the fMRI signal, which are related to human physiology and a feature of the test items.
dc.format.extentС. 240-245
dc.identifier.citationNeurophysiological Correlators of Semantic Features / Orlov, V. [et al.] // Advances in Intelligent Systems and Computing. - 2020. - 948. - P. 240-245. - 10.1007/978-3-030-25719-4_31
dc.identifier.doi10.1007/978-3-030-25719-4_31
dc.identifier.urihttps://www.doi.org/10.1007/978-3-030-25719-4_31
dc.identifier.urihttps://www.scopus.com/record/display.uri?eid=2-s2.0-85070206904&origin=resultslist
dc.identifier.urihttps://openrepository.mephi.ru/handle/123456789/20020
dc.relation.ispartofAdvances in Intelligent Systems and Computing
dc.titleNeurophysiological Correlators of Semantic Features
dc.typeConference Paper
dspace.entity.typePublication
oaire.citation.volume948
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