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Добро пожаловать на сайт группы нейрокогнитивных интерфейсов МЭГ-центра Московского государственного психолого-педагогического университета (МГППУ)!

Welcome to the Neurocognitive Interfaces Group at Moscow MEG Center, Moscow State University of Psychology and Education!

We study human physiology and cognition in human-machine interaction, especially in interaction via brain-computer interfaces (BCIs) and in gaze-based interaction. We also develop advanced non-invasive BCIs, especially the highly integrated “eye-brain-computer interfaces” (EBCIs), as well as alternatives to motor imagery in BCI and new approaches to enhance gaze interaction.

Research areas

Advanced/hybrid EEG/MEG BCIs

Attempted- and quasi-movements vs. motor imagery

Gaze interaction

OPM MEG

Intention, action, agency, consciousness

Sergei L. Shishkin, PhD
(Cand. Biol. Sci.)
Group Leader
Leading Research Scientist
shishkinsl@mgppu.ru
sergshishkin@mail.ru
Anatoly N. Vasilyev, PhD
(Cand. Biol. Sci.)
Senior Research Scientist
Ignat A. Dubynin, PhD
(Cand. Psychol. Sci.)
Senior Research Scientist

Evgeniy P. Svirin, PhD
(biology)
Senior Research Scientist
Darisiy G. Zhao, PhD
(Cand. Techn. Sci.)
Research Scientist
gaben@valvesoftware.com

Artem S. Yashin, PhD
(Cand. Philos. Sci.)
Research Scientist
yashinas@mgppu.ru
Daniil A. Berdyshev
Junior Research Scientist
(& PhD Student, Lomonosov Moscow State U.)
Yulia G. Shevtsova
Junior Research Scientist
shevtsova.jg@gmail.com
Egor I. Chetkin
Junior Research Scientist
(& PhD Student, Lomonosov Moscow State U.)

Current collaborators

  • Pavel D. Bobrov
  • Artem M. Grachev
  • Alexander Y. Kaplan
  • Anna A. Kondur
  • Sergey V. Kotov
  • Bogdan L. Kozyrskiy
  • Yuri O. Nuzhdin
  • Alexei E. Ossadtchi
  • Pavel D. Rudych
  • Alexander N. Savostyanov

Equipment

  • See Equipment page at the MEG Center web site.

Recent publications

  1. Berdyshev D.A., Grachev A.M., Shishkin S.L., Kozyrskiy B.L. EEG-Reptile: An Automatized Reptile-Based Meta-Learning Library for BCIs. arXiv, 27 Dec 2024. https://doi.org/10.48550/arXiv.2412.19725 GitHub: https://github.com/gasiki/EEG-Reptile
  2. Vasilyev A.N., Svirin E.P., Dubynin I.A., Butorina A.N., Nuzhdin Y.O., Ossadtchi A.E., Stroganova T.A., Shishkin S.L. Intentionally vs. Spontaneously Prolonged Gaze: A MEG Study of Active Gaze-Based Interaction. bioRxiv, December 16, 2024. https://doi.org/10.1101/2024.12.11.627776
  3. Skidchenko E., Butorina A., Fedosov N., Shevtsov O., Medvedeva D., Zhao D., Dubynin I., Fedorov M., Koshev N., Ossadtchi A. The tale of two rooms: comparison of QuSpin zero-field OPMs’ operation in two magnetically shielded environments. IEEE Transactions on Instrumentation & Measurement (in press). Preprint:TechRxiv, November 19, 2024. https://doi.org/10.36227/techrxiv.171617338.87291097/v3
  4. Shevtsova YG, Yashin AS, Shishkin SL, Vasilyev AN. Disentangling high-paced alternating I/O in gaze-based interaction. IEEE Access, 13: 81948-81966, 2025 May 9. https://doi.org/10.1109/ACCESS.2025.3568650 (Open Access)
  5. Yashin A.S., Shevtsova Y.G., Svirin E.P., Vasilyev A.N., Shishkin S.L. Quasi-movements vs. motor imagery in an online study of a hybrid BCI involving semi-passive gaze.
  6. Yashin A.S., Vasilyev A.N., Shevtsova Y.G., Shishkin S.L. Can quasi-movements be used as a model of the BCI based on attempted movements? 2024 IEEE International Conference on Systems, Man, and Cybernetics (SMC). October 6-10, 2024, Sarawak, Malaysia. Pp. 2028-2033. https://doi.org/10.1109/SMC54092.2024.10831475
  7. Shishkin S.L., Yashin A.S., Shevtsova Y.G., Vasilyev A.N. Should attempted movements replace motor imagery in BCI? The issue of compatibility with gaze use. Proc. of the 9th Graz Brain-Computer Interface Conference 2024. Verlag der Technischen Universität Graz. Pp. 455-460. https://doi.org/10.3217/978-3-99161-014-4-080 (Open Access) Poster: [ PDF ]

View all publications

Current projects

  • – Prioritet 2030 “Studies of quasi-movements as a basis for new BCI technologies”
  • – RSF 24-75-00105 “Quasi-movements in brain-computer interfaces: effects of movement type and feedback”
  • – RSF 22-19-00528 “Fluent human-machine interaction based on expectation and intention markers: neurophysiological and neuroengineering foundations”

More about our projects

Media

More media

Available positions

Приглашаются студенты московских вузов для выполнения курсовых и дипломных работ / ВКР

Contacts

Sergei Shishkin | Сергей Львович Шишкин ( shishkinsl@mgppu.ru , sergshishkin@mail.ru )

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