Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › научная › Рецензирование
EEG Patterns of Cognitive Processing of Adjectives of Different Frequency of Occurrence and Emotional Coloring. / Proshina, Ekaterina A.; Saprigyn, Alexander E.; Lebedkin, Dmitri A.
Advances in Neural Computation, Machine Learning, and Cognitive Research 5 - Selected Papers from the 23rd International Conference on Neuroinformatics, 2021. ред. / Boris Kryzhanovsky; Witali Dunin-Barkowski; Vladimir Redko; Yury Tiumentsev; Valentin V. Klimov. Springer Science and Business Media Deutschland GmbH, 2022. стр. 81-87 (Studies in Computational Intelligence; Том 1008 SCI).Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › научная › Рецензирование
}
TY - GEN
T1 - EEG Patterns of Cognitive Processing of Adjectives of Different Frequency of Occurrence and Emotional Coloring
AU - Proshina, Ekaterina A.
AU - Saprigyn, Alexander E.
AU - Lebedkin, Dmitri A.
N1 - Publisher Copyright: © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2022
Y1 - 2022
N2 - In the modern literature there are several approaches to the study of the cognitive processing of verbal visual stimuli. According to one of them, the recognition of a verbal visual stimulus is carried out in stages over time, consisting of separate modules and involving processing on the principle of “from simple to complex”. According to another model, interactive one, recognition of a verbal stimulus is carried out by a system in which higher-level linguistic information modulates early perceptual spelling processing. In order to draw conclusions about the two presented theories, we obtained EEG data from 20 healthy subjects who took part in an experiment with the presentation of adjectives with different frequency of occurrence in the language and different emotional coloring. According to our assumption, differences between different groups of adjectives will be observed already at the early stages of cognitive processing. The absence of differences will support the modular theory of cognitive processing. EEG analysis using methods of localization of sources of bioelectric activity will allow us not only to get an answer to the question about the time dynamics of verbal stimulus processing, but also to determine the localization of functional activity.
AB - In the modern literature there are several approaches to the study of the cognitive processing of verbal visual stimuli. According to one of them, the recognition of a verbal visual stimulus is carried out in stages over time, consisting of separate modules and involving processing on the principle of “from simple to complex”. According to another model, interactive one, recognition of a verbal stimulus is carried out by a system in which higher-level linguistic information modulates early perceptual spelling processing. In order to draw conclusions about the two presented theories, we obtained EEG data from 20 healthy subjects who took part in an experiment with the presentation of adjectives with different frequency of occurrence in the language and different emotional coloring. According to our assumption, differences between different groups of adjectives will be observed already at the early stages of cognitive processing. The absence of differences will support the modular theory of cognitive processing. EEG analysis using methods of localization of sources of bioelectric activity will allow us not only to get an answer to the question about the time dynamics of verbal stimulus processing, but also to determine the localization of functional activity.
KW - EEG
KW - Localization of EEG sources
KW - Recognition of verbal stimuli
UR - http://www.scopus.com/inward/record.url?scp=85121609915&partnerID=8YFLogxK
UR - https://www.mendeley.com/catalogue/c3110909-fa28-3704-9e54-da6c5eecef66/
U2 - 10.1007/978-3-030-91581-0_11
DO - 10.1007/978-3-030-91581-0_11
M3 - Conference contribution
AN - SCOPUS:85121609915
SN - 9783030915803
T3 - Studies in Computational Intelligence
SP - 81
EP - 87
BT - Advances in Neural Computation, Machine Learning, and Cognitive Research 5 - Selected Papers from the 23rd International Conference on Neuroinformatics, 2021
A2 - Kryzhanovsky, Boris
A2 - Dunin-Barkowski, Witali
A2 - Redko, Vladimir
A2 - Tiumentsev, Yury
A2 - Klimov, Valentin V.
PB - Springer Science and Business Media Deutschland GmbH
T2 - 23rd International Conference on Neuroinformatics, 2021
Y2 - 18 October 2021 through 22 October 2021
ER -
ID: 35263883