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  1. 2024

  2. Связь фокуса внимания на себе и чувствительности к искажениям собственного лица

    Bocharov, A. V., Savostyanov, A. N., Rudych, P. D., Saprygin, A. E., Tamozhnikov, S. S. & Knyazev, G. G., 2024, In: Experimental Psychology (Russia). 17, 3, p. 52-67 16 p., 4.

    Research output: Contribution to journal › Article › peer-review

  3. ФМРТ-исследование связи нейротизма с индивидуальными различиями в активности мозга в процессе социальных взаимодействий

    Knyazev, G. G., Savostyanov, A. N., Bocharov, A. V. & Saprigyn, A. E., 2024, In: Zhurnal Vysshei Nervnoi Deyatelnosti Imeni I.P. Pavlova. 74, 6, p. 717-726 10 p.

    Research output: Contribution to journal › Article › peer-review

  4. 2023

  5. Convolutional neural networks for classifying healthy individuals practicing or not practicing meditation according to the EEG data

    Fu, X., Tamozhnikov, S. S., Saprygin, A. E., Istomina, N. A., Klemeshova, D. I. & Savostyanov, A. N., Dec 2023, In: Vavilovskii Zhurnal Genetiki i Selektsii. 27, 7, p. 851-858 8 p.

    Research output: Contribution to journal › Article › peer-review

  6. Safe Pretraining of Deep Language Models in a Synthetic Pseudo-Language

    Gorbacheva, T. E. & Bondarenko, I. Y., Dec 2023, In: Doklady Mathematics. 108, Suppl 2, p. S494-S502 9 p.

    Research output: Contribution to journal › Article › peer-review

  7. Characteristics of the Balance of Resting State Networks after Migration to the Conditions of the North

    Bocharov, A. V., Savostyanov, A. N., Tamozhnikov, S. S., Karpova, A. G., Saprigyn, A. E., Milakhina, N. S., Zavarzin, E. A., Rudich, P. D., Merkulova, E. A. & Knyazev, G. G., Oct 2023, In: Neuroscience and Behavioral Physiology. 53, 8, p. 1441-1448 8 p.

    Research output: Contribution to journal › Article › peer-review

  8. Use of Machine Learning Methods to Analyze Patterns of Brain Activity during Assessment of the Self and Others

    Knyazev, G. G., Savostyanov, A. N., Rudych, P. D. & Bocharov, A. V., Sept 2023, In: Neuroscience and Behavioral Physiology. 53, 7, p. 1210-1218 9 p.

    Research output: Contribution to journal › Article › peer-review

  9. Using PCA Machine Learning Approach Based on Psychological Questionnaires and Spectral Characteristics of the EEG to Separate the Healthy Participants and Participants with Major Depressive Disorder

    Merkulova, E. A., Kozulin, I. A., Savostyanov, A. N., Bocharov, A. V. & Privodnova, E. Y., 29 Jun 2023, p. 1740-1745.

    Research output: Contribution to conference › Paper › peer-review

  10. Fast changes in default and control network activity underlying intraindividual response time variability in childhood: Does age and sex matter?

    Privodnova, E. Y., Slobodskaya, H. R., Savostyanov, A. N., Bocharov, A. V., Saprigyn, A. E. & Knyazev, G. G., May 2023, In: Developmental Psychobiology. 65, 4, 14 p., e22382.

    Research output: Contribution to journal › Article › peer-review

  11. Suppression of Alpha and Beta Oscillations in the Course of Virtual Social Interactions

    Bocharov, A. V., Savostyanov, A. N., Saprygin, A. E., Merkulova, E. A., Tamozhnikov, S. S., Proshina, E. A. & Knyazev, G. G., Feb 2023, In: Human Physiology. 49, 1, p. 35-43 9 p.

    Research output: Contribution to journal › Article › peer-review

  12. Electrophysiological signatures of resting state networks under new environmental conditions

    Bocharov, A. V., Savostyanov, A. N., Tamozhnikov, S. S., Karpova, A. G., Milakhina, N. S., Zavarzin, E. A., Saprigyn, A. E. & Knyazev, G. G., 18 Jan 2023, In: Neuroscience Letters. 794, 5 p., 137012.

    Research output: Contribution to journal › Article › peer-review

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