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  1. Does collectivism act as a protective factor for depression in Russia?

    Knyazev, G. G., Kuznetsova, V. B., Savostyanov, A. N. & Dorosheva, E. A., 1 Apr 2017, In: Personality and Individual Differences. 108, p. 26-31 6 p.

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

  2. Disentangling FDE-based paraconsistent modal logics

    Odintsov, S. P. & Wansing, H., 23 Sept 2017, In: Studia Logica. 105, 6, p. 1221-1254 34 p.

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

  3. Development of a Comprehensive Methodology for Assessing Executive Control Measures and Its Validation on Groups of Russian and Foreign Students

    Zorina, K. A., Bodur, V. D., Tolstova, M. A. & Vergunov, E. G., 8 Aug 2025, International Conference of Young Specialists on Micro/Nanotechnologies and Electron Devices, EDM. IEEE Computer Society, p. 1800-1804 5 p. (International Conference of Young Specialists on Micro/Nanotechnologies and Electron Devices, EDM).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

  4. Depressive symptoms and autobiographical memory: A pilot electroencephalography (EEG) study

    Knyazev, G. G., Savostyanov, A. N., Bocharov, A. V. & Kuznetsova, V. B., 16 Mar 2017, In: Journal of Clinical and Experimental Neuropsychology. 39, 3, p. 242-256 15 p.

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

  5. Depressive Symptomatology and the Activity of Oscillatory Resting State Networks

    Knyazev, G. G., Savost’yanov, A. N., Bocharov, A. V., Saprygin, A. E. & Tamozhnikov, S. S., 1 Oct 2016, In: Neuroscience and Behavioral Physiology. 46, 8, p. 942-947 6 p.

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

  6. Depression Detection Through EEG Signal Analysis: A Convolutional Autoencoder Deep Learning Model

    Firoz, N., Aksyonov, S. V., Berestneva, O. G. & Savostyanov, A., 8 Aug 2025, International Conference of Young Specialists on Micro/Nanotechnologies and Electron Devices, EDM. IEEE Computer Society, p. 1820-1825 6 p. (International Conference of Young Specialists on Micro/Nanotechnologies and Electron Devices, EDM).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

  7. Depression and oscillatory correlates of implicit emotion processing

    Bocharov, A. V., Knyazev, G. G. & Savostyanov, A. N., Oct 2016, In: International Journal of Psychophysiology. 108, p. 130-131 2 p.

    Research output: Contribution to journal › Meeting Abstract › peer-review

  8. Depression and implicit emotion processing: An EEG study

    Bocharov, A. V., Knyazev, G. G. & Savostyanov, A. N., 1 Jun 2017, In: Neurophysiologie Clinique. 47, 3, p. 225-230 6 p.

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

  9. Default Mode Network Connections Supporting Intra- Individual Variability in Typically Developing Primary School Children: An EEG Study

    Privodnova, E. Y., Slobodskaya, H. R., Bocharov, A. V., Saprigyn, A. E. & Knyazev, G. G., Oct 2020, In: Neuropsychology. 34, 7, p. 811-823 13 p.

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

  10. Cross-frequency coupling in developmental perspective

    Knyazev, G. G., Savostyanov, A. N., Bocharov, A. V., Tamozhnikov, S. S., Kozlova, E. A., Leto, I. V. & Slobodskaya, H. R., 14 May 2019, In: Frontiers in Human Neuroscience. 13, p. 158 10 p., 158.

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

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