Current projects / Текущие проекты

Quasi-movements in brain-computer interfaces: effects of movement type and feedback. PI: E.P. Svirin. 2024-2026. Russian Science Foundation, No. 24-75-00105. https://rscf.ru/en/project/24-75-00105/
– Квазидвижения в интерфейсах мозг- компьютер: влияние типа движения и обратной связи. Рук. Е.П. Свирин. 2024-2026 гг. РНФ, № 24-75-00105. https://rscf.ru/project/24-75-00105/

Fostering development of new BCI technologies through studies of quasi-movements (continuation of the research started by RSF grant 22-29-01361, on aspects not covered by RSF grants 22-19-00528 and 24-75-00105). PI: S.L. Shishkin. Within the framework of MSUPE Development Program.
– Создание основы для развития новых ИМК-технологий с помощью исследования квазидвижений (продолжение исследований, начатых по гранту РНФ 22-29-01361, по аспектам, не входящим в гранты РНФ 22-19-00528 и 24-75-00105). Рук. С.Л. Шишкин. В рамках программы развития МГППУ.

Recently completed projects / Недавно завершенные проекты

A new generation of the Eye-Brain-Computer Interface: basic research and technical solutions. PI: S.L. Shishkin. 2022-2024. Russian Science Foundation, No. 22-19-00528. https://rscf.ru/en/project/22-19-00528/
– Интерфейс глаз-мозг-компьютер нового поколения: фундаментальные исследования и технические решения. Рук. С.Л. Шишкин. 2022-2024 гг. РНФ, № 22-19-00528. https://rscf.ru/project/22-19-00528/

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. TechRxiv, November 19, 2024. https://doi.org/10.36227/techrxiv.171617338.87291097/v3
4. Shevtsova Y.G., Yashin A.S., Shishkin S.L., Vasilyev A.N. Disentangling high-paced alternating I/O in gaze-based interaction (submitted).
5. Yashin A.S. Causal deviance in BCI control as another vanishing point of human agency (submitted).
6. 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.
7. Chetkin E.I., Kozyrsky B.L., Shishkin S.L. Unconditional EEG synthesis based on diffusion models for sound generation. 2024 IEEE International Multi-Conference on Engineering, Computer and Information Sciences (SIBIRCON). Novosibirsk State University, 30 Sep – 2 Oct, 2024 , pp. 416-420. http://doi.org/10.1109/SIBIRCON63777.2024.10758527
8. Berdyshev D.A., Grachev A.M., Shishkin S.L., Kozyrskiy B.L. (2023) Meta-optimization of initial weights for more effective few- and zero-shot learning in BCI classification. 2023 IEEE Ural-Siberian Conference on Computational Technologies in Cognitive Science, Genomics and Biomedicine (CSGB). Novosibirsk, Russian Federation, 28-30 September 2023. Pp. 263-267. https://doi.org/10.1109/CSGB60362.2023.10329624
9. Yashin A.S. (2023) A challenge for bringing a BCI closer to motor control: the “interface uncanny valley” hypothesis. 2023 IEEE Ural-Siberian Conference on Computational Technologies in Cognitive Science, Genomics and Biomedicine (CSGB). Novosibirsk, Russian Federation, 28-30 September 2023. Pp. 242-247. https://doi.org/10.1109/CSGB60362.2023.10329830
10. Shevtsova Y.G., Vasilyev A.N., Shishkin S.L. (2023) Machine learning for gaze-based selection: performance assessment without explicit labeling. In: M. Kurosu et al. HCI International 2023 – Late Breaking Papers. HCII 2023. Lecture Notes in Computer Science, vol. 14054. Springer, Cham, pp. 311–322. https://doi.org/10.1007/978-3-031-48038-6_19
11. Chetkin E.I., Shishkin S.L., Kozyrskiy B.L. (2023) Bayesian opportunities for brain–computer interfaces: enhancement of the existing classification algorithms and out-of-domain detection. Algorithms, 16(9):429. https://doi.org/10.3390/a16090429 (Open Access)

Detection of quasi-movement sequences as a basis for an effective asynchronous brain-computer interface. PI: A.N. Vasilyev. 2022. Russian Science Foundation, No. 22-29-01361. https://rscf.ru/en/project/22-29-01361/
– Распознавание последовательностей квазидвижений как возможная основа асинхронного интерфейса мозг-компьютер. Рук. А.Н. Васильев. 2022 г. РНФ, № 22-29-01361. https://rscf.ru/project/22-29-01361/

• Yashin A.S., Shishkin S.L., Vasilyev A.N. Is there a continuum of agentive awareness across physical and mental actions? The case of quasi-movements. Consciousness and Cognition, 112:103531. https://doi.org/10.1016/j.concog.2023.103531 Preprint: PsyArXiv, February 15, 2023. https://doi.org/10.31234/osf.io/b6hw4 (Open Access)
• Vasilyev A.N., Yashin A.S., Shishkin S.L. (2023) Quasi-movements and “quasi-quasi-movements”: Does residual muscle activation matter? Life, 13(2):303. 23 pages. https://doi.org/10.3390/life13020303 (Open Access)
• Yashin A.S., Vasilyev A.N., Shishkin S.L. (2022) Contrasting quasi-movements with imaginary movements: an experimental model for studying physical and mental actions. Proc. of the 4th Int. Conf. “Neurotechnologies and Neurointerfaces” (CNN’2022), 14−16 September 2022, Kaliningrad, Russia, pp. 215-218. https://doi.org/10.1109/CNN56452.2022.9912508
• Shishkin S.L. (2022) Active brain-computer interfacing for healthy users. Frontiers in Neuroscience. 16:859887. https://doi.org/10.3389/fnins.2022.859887 (Open Access)