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ERP Parameters of the Formation of the Skill of Distinguishing Short Time Intervals
 
PIIS020595920029011-8-1
DOI10.31857/S020595920029011-8
Publication type Article
Status Published
Authors
Konstantin Yudakov 
Affiliation: State Academic University for the Humanities
Address: Russian Federation, Moscow
Vladimir Аpanovich
Occupation: Junior researcher at Shvyrkov’s laboratory of Psychophysiology, IP RAS, research fellow at laboratory of neurocognitive studies of individual experience, MGPPU, junior researcher at international laboratory of social neuroscience, HSE, senior lecturer, GA
Affiliation:
State Academic University for the Humanities
Institute of Psychology RAS
HSE University
Address: Russian Federation, Moscow
Eric Aramyan
Affiliation: Institute of Psychology RAS
Address: Russian Federation, Moscow
Dmitry Gladilin
Affiliation:
Institute of Psychology RAS
Moscow State University of Psychology and Education
Address: Russian Federation, Moscow
Yu. Alexandrov
Affiliation:
State Academic University for the Humanities
Institute of Psychology RAS
HSE University
Address: Russian Federation, Moscow
Journal namePsikhologicheskii zhurnal
EditionVolume 44 №6
Pages48-60
Abstract

A method including registration of an electroencephalogram (EEG) has been developed and tested to study the processes of acquisition/improvement of a skill. The method is based on the Signal Detection Theory. The experimental task was to distinguish of short time intervals. The psychophysiological data of 10 study participants (learning group) from the total sample (N = 28) were analyzed. Typical components of event-related potentials (ERPs) during the presentation of the estimated signal were identified. Time-amplitude characteristics of the components were analyzed. The results obtained are discussed from a system-evolutionary approach.

Keywordssystem-evolutionary approach, EEG, psychophysics, learning, improvement of the skill, event-related potentials, detection of short time intervals
AcknowledgmentThe research is supported by the Russian Science Foundation grant № 23-18-00473 (Institute of Psychology of Russian Academy of Sciences).
Publication date30.12.2023
Number of characters27474
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