Components of Event-Related Potentials in studies of perceptual learning



Perceptual learning is defined by increased effectiveness of completing perceptual tasks as a result of experience or training. This review presents the analysis of changes in the components of event-related potentials (ERPs) after visual and auditory perceptual learning in humans. The use of the EEG method, which has a high temporal resolution, makes it possible to trace the spatio-temporal dynamics of changes in the functioning of the brain during learning, which remains hidden in behavioral experimental studies. A review of neurophysiological studies indicates that perceptual learning induces changes across all levels of cortical hierarchy, starting with the early sensory components of ERPs (C1) and ending with the later integrative components (N170, MMN, P2). We also analyzed the short-term and long-term effects of learning. The reviewed neurophysiological data can serve as the basis for the development of new approaches of effective learning, as well as for the objective evaluation of existing methodics by assessing neuronal dynamics at different stages of stimuli processing.

General Information

Keywords: perceptual learning, event-related potentials, N1, N170, MMN, P2, expertise

Journal rubric: Cognitive Pedagogy

Article type: review article


Funding. The reported study was funded by Russian Foundation for Basic Research (RFBR), project number 19-313-51039.

For citation: Kleeva D.F., Rebreikina A.B., Sysoeva O.V. Components of Event-Related Potentials in studies of perceptual learning [Elektronnyi resurs]. Sovremennaia zarubezhnaia psikhologiia = Journal of Modern Foreign Psychology, 2020. Vol. 9, no. 2, pp. 34–45. DOI: 10.17759/jmfp.2020090203. (In Russ., аbstr. in Engl.)


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Information About the Authors

Daria F. Kleeva, Research assistant, Sirius University of Science and Technology, Research assistant, Institute of Cognitive Neuroscience, National Research University «Higher School of Economics», Moscow, Russia, ORCID:, e-mail:

Anna B. Rebreikina, PhD in Biology, Researcher, Sirius University of Science and Technology, Researcher, Laboratory of Human Higher Nervous Activity, Institute of Higher Nervous Activity and Neurophysiology of RAS, Moscow, Russia, ORCID:, e-mail:

Olga V. Sysoeva, PhD in Psychology, Leading Researcher, Sirius University of Science and Technology, Leading Researcher, Laboratory of Human Higher Nervous Activity, Institute of Higher Nervous Activity and Neurophysiology of RAS, Moscow, Russia, ORCID:, e-mail:



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