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Experimental Psychology (Russia)
2025. Vol. 18, no. 2, 50–71
doi:10.17759/exppsy.2025180203
ISSN: 2072-7593 / 2311-7036 (online)

Description of typical components of the ERP when solving the task of distinguishing short intervals of time

 
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Abstract

Context and relevance. This article is one of a series of works published as part of a major research project devoted to the study of the procedural characteristics of learning. Methods and materials. Based on the Signal Detection Theory and the “Yes-No” task method with EEG recording was previously developed and tested to study the dynamics of the processes of acquisition/improvement of a skill of distinguishing short intervals of time. The objective of the study was to identify and describe typical components of event-related potentials (ERPs) during the presentation of the estimated signal in leads F-, C-, P-, and O- for the analysis of the brain support of learning process in different groups experiment: acquired, not acquired, improved, and not improved the skill. The sample consisted of 17 people (5 men, 12 women, 18—45 years old, med — 19). Results. A task-specific configuration of ERP components was identified, occurring in all leads in all study participants. Conclusions. Reliable and stable differences in the amplitude and latent period values of individual some components between leads F-, C- and P-, O- were obtained for the entire sample. No significant differences were found in the amplitude-time characteristics of the components extracted from participants from different groups.

General Information

Keywords: system-evolutionary approach, electroencephalogram, event-related potentials, learning, skill acquisition, skill improvement, time perception

Journal rubric: Psychophysiology

Article type: scientific article

DOI: https://doi.org/10.17759/exppsy.2025180203

Funding. The research is supported by the Russian Science Foundation project No. 23-18-00473 (Institute of Psychology of Russian Academy of Sciences).

Acknowledgements. The authors are grateful for developing and providing the software S.A. Karpov.

Received 30.08.2024

Accepted

Published

For citation: Yudakov, K.S., Gladilin, D.L., Apanovich, V.V., Aramyan, E.A., Alexandrov, Y.I. (2025). Description of typical components of the ERP when solving the task of distinguishing short intervals of time. Experimental Psychology (Russia), 18(2), 50–71. (In Russ.). https://doi.org/10.17759/exppsy.2025180203

© Yudakov K.S., Gladilin D.L., Apanovich V.V., Aramyan E.A., Alexandrov Y.I., 2025

License: CC BY-NC 4.0

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Information About the Authors

Konstantin S. Yudakov, Postgraduate, Junior Research Fellow, Institute of Psychology of Russian Academy of Sciences, Lecturer, State Academic University for the Humanities, Moscow, Russian Federation, ORCID: https://orcid.org/0000-0001-5132-4054, e-mail: kost05062000@mail.ru

Dmitry L. Gladilin, Postgraduate, Junior Research Fellow, Institute of Psychology of Russian Academy of Sciences, Laboratory Assistant Researcher, Moscow State University of Psychology and Education, Moscow, Russian Federation, ORCID: https://orcid.org/0000-0002-5352-4866, e-mail: dima.gladilin.psy@gmail.com

Vladimir V. Apanovich, Candidate of Science (Psychology), Research Fellow, Institute of Psychology, Russian Academy of Sciences, Associate Professor, State Academic University for the Humanities, Moscow, Russian Federation, ORCID: https://orcid.org/0000-0003-3407-6049, e-mail: apanovitschvv@yandex.ru

Eric A. Aramyan, Postgraduate, Junior Research Fellow, Institute of Psychology of Russian Academy of Sciences, Moscow, Russian Federation, ORCID: https://orcid.org/0000-0003-3562-8378, e-mail: aramyan.eric@gmail.com

Yuri I. Alexandrov, Doctor of Psychology, Professor, Corresponding Member of the Russian Academy of Education, Head of the Laboratory of Psychophysiology named after V.B. Shvyrkov, Institute of Psychology Russian Academy of Science, Head of Psychophysiology Department, State Academic University for the Humanities, Moscow, Russian Federation, ORCID: https://orcid.org/0000-0002-2644-3016, e-mail: yuraalexandrov@yandex.ru

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