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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. Трансформация герменевтики Х.-Г. Гадамера в контексте проблематики геологического познания

    Миронов, В. А., 2024, In: Философия науки. 1, 1(100), p. 106-127 22 p.

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

  4. 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

  5. 2023

  6. 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

  7. The Development of a Water Resource Monitoring Ontology as a Research Tool for Sustainable Regional Development

    Ospan, A., Mansurova, M., Barakhnin, V., Nugumanova, A. & Titkov, R., Nov 2023, In: Data. 8, 11, 162.

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

  8. 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

  9. Fuzzy Models As a Formalization of Expert’s Evaluative Knowledge

    Yakhyaeva, G. E. & Palchunova, O. D., Sept 2023, In: Pattern Recognition and Image Analysis. 33, 3, p. 529-535 7 p.

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

  10. Task-driven approach to artificial intelligence

    Vityaev, E. E., Goncharov, S. S. & Sviridenko, D. I., Sept 2023, In: Cognitive Systems Research. 81, p. 50-56 7 p.

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

  11. 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

  12. Exponential Inequalities for the Tail Probabilities of the Number of Cycles in Generalized Random Graphs

    Bystrov, A. A. & Volodko, N. V., Aug 2023, In: Siberian Advances in Mathematics. 33, 3, p. 181-189 9 p.

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

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