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Education and qualifications (1)

Lomonosov Moscow State University: Moscow, RU

2020-09-01 to present | PhD Student (Psychology)
Education
Source: Self-asserted source
Andrey Shevchenko

Works (6)

Recognition of Mentally Pronounced Russian Phonemes Using Convolutional Neural Networks and Electroencephalography Data

Optical Memory and Neural Networks
2023-06 | Journal article
Part of ISSN: 1060-992X
Part of ISSN: 1934-7898
Contributors: L. E. Seleznyev; A. A. Chupakhin; V. A. Kostenko; A. O. Shevchenko; A. V. Vartanov
Source: Self-asserted source
Andrey Shevchenko
grade
Preferred source (of 2)‎

Comparison of the mechanisms of phonemic perception and internal pronunciation of phonemes and syllables: Eeg and fmri study

Russian Psychological Journal
2022 | Journal article
EID:

2-s2.0-85150999444

Part of ISSN: 24115789 18121853
Contributors: Shevchenko, A.O.; Vartanov, A.V.
Source: Self-asserted source
Andrey Shevchenko via Scopus - Elsevier

Inner speech and external speech: Phonemes, syllables and words. fMRI study

Procedia Computer Science
2022 | Conference paper
EID:

2-s2.0-85146121111

Part of ISSN: 18770509
Contributors: Shevchenko, A.; Suyuncheva, A.; Vartanov, A.; Bronov, O.
Source: Self-asserted source
Andrey Shevchenko via Scopus - Elsevier

The use of gamification in the empathy development and prevention of bullying as a form of deviant behavior

Russian Journal of Deviant Behavior
2022-10-31 | Journal article
Part of ISSN: 2713-0622
Contributors: Artur Rean; Andrey Shevchenko
Source: Self-asserted source
Andrey Shevchenko

Reconstruction of Words, Syllables, and Phonemes of Internal Speech by EEG Activity

Advances in Cognitive Research, Artificial Intelligence and Neuroinformatics
2021 | Journal article
Part of ISBN: 9783030716363
Part of ISBN: 9783030716370
Part of ISSN: 2194-5357
Part of ISSN: 2194-5365
Source: Self-asserted source
Andrey Shevchenko
grade
Preferred source (of 2)‎

The Electroencephalogram Based Classification of Internally Pronounced Phonemes

Brain-Inspired Cognitive Architectures for Artificial Intelligence: BICA*AI 2020
2021 | Journal article
Part of ISBN: 9783030655952
Part of ISBN: 9783030655969
Part of ISSN: 2194-5357
Part of ISSN: 2194-5365
Source: Self-asserted source
Andrey Shevchenko
grade
Preferred source (of 2)‎