Standard
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. ed. / Boris Kryzhanovsky; Witali Dunin-Barkowski; Vladimir Redko; Yury Tiumentsev; Valentin V. Klimov. Springer Science and Business Media Deutschland GmbH, 2022. p. 81-87 (Studies in Computational Intelligence; Vol. 1008 SCI).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
Harvard
Proshina, EA, Saprigyn, AE & Lebedkin, DA 2022,
EEG Patterns of Cognitive Processing of Adjectives of Different Frequency of Occurrence and Emotional Coloring. in B Kryzhanovsky, W Dunin-Barkowski, V Redko, Y Tiumentsev & VV Klimov (eds),
Advances in Neural Computation, Machine Learning, and Cognitive Research 5 - Selected Papers from the 23rd International Conference on Neuroinformatics, 2021. Studies in Computational Intelligence, vol. 1008 SCI, Springer Science and Business Media Deutschland GmbH, pp. 81-87, 23rd International Conference on Neuroinformatics, 2021, Moscow, Russian Federation,
18.10.2021.
https://doi.org/10.1007/978-3-030-91581-0_11APA
Proshina, E. A., Saprigyn, A. E., & Lebedkin, D. A. (2022).
EEG Patterns of Cognitive Processing of Adjectives of Different Frequency of Occurrence and Emotional Coloring. In B. Kryzhanovsky, W. Dunin-Barkowski, V. Redko, Y. Tiumentsev, & V. V. Klimov (Eds.),
Advances in Neural Computation, Machine Learning, and Cognitive Research 5 - Selected Papers from the 23rd International Conference on Neuroinformatics, 2021 (pp. 81-87). (Studies in Computational Intelligence; Vol. 1008 SCI). Springer Science and Business Media Deutschland GmbH.
https://doi.org/10.1007/978-3-030-91581-0_11Vancouver
Proshina EA, Saprigyn AE, Lebedkin DA.
EEG Patterns of Cognitive Processing of Adjectives of Different Frequency of Occurrence and Emotional Coloring. In Kryzhanovsky B, Dunin-Barkowski W, Redko V, Tiumentsev Y, Klimov VV, editors, Advances in Neural Computation, Machine Learning, and Cognitive Research 5 - Selected Papers from the 23rd International Conference on Neuroinformatics, 2021. Springer Science and Business Media Deutschland GmbH. 2022. p. 81-87. (Studies in Computational Intelligence). doi: 10.1007/978-3-030-91581-0_11
Author
Proshina, Ekaterina A. ; Saprigyn, Alexander E. ; Lebedkin, Dmitri A. /
EEG Patterns of Cognitive Processing of Adjectives of Different Frequency of Occurrence and Emotional Coloring. Advances in Neural Computation, Machine Learning, and Cognitive Research 5 - Selected Papers from the 23rd International Conference on Neuroinformatics, 2021. editor / Boris Kryzhanovsky ; Witali Dunin-Barkowski ; Vladimir Redko ; Yury Tiumentsev ; Valentin V. Klimov. Springer Science and Business Media Deutschland GmbH, 2022. pp. 81-87 (Studies in Computational Intelligence).
BibTeX
@inproceedings{79fe074a09b14ec1a1f7a1832d59e39d,
title = "EEG Patterns of Cognitive Processing of Adjectives of Different Frequency of Occurrence and Emotional Coloring",
abstract = "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.",
keywords = "EEG, Localization of EEG sources, Recognition of verbal stimuli",
author = "Proshina, {Ekaterina A.} and Saprigyn, {Alexander E.} and Lebedkin, {Dmitri A.}",
note = "Publisher Copyright: {\textcopyright} 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.; 23rd International Conference on Neuroinformatics, 2021 ; Conference date: 18-10-2021 Through 22-10-2021",
year = "2022",
doi = "10.1007/978-3-030-91581-0_11",
language = "English",
isbn = "9783030915803",
series = "Studies in Computational Intelligence",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "81--87",
editor = "Boris Kryzhanovsky and Witali Dunin-Barkowski and Vladimir Redko and Yury Tiumentsev and Klimov, {Valentin V.}",
booktitle = "Advances in Neural Computation, Machine Learning, and Cognitive Research 5 - Selected Papers from the 23rd International Conference on Neuroinformatics, 2021",
address = "Germany",
}
RIS
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 -
