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  1. 2024

  2. Pharmacoencephalographic Assessment of Antiphyschotic Agents’ Effect Dose-Dependency in Rats

    Сысоев, Ю. И., Шиц, Д. Д., Пучик, М. М., Князева, И. С., Корелов, М. С., Приходько, В., Титович, И. А., Селизарова, Н. О. & Оковитый, С. В., 9 Jan 2024, In: Journal of Evolutionary Biochemistry and Physiology. 59, 6, p. 2153-2167 15 p.

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

  3. Фармакологический скрининг нового производного вальпроевой кислоты с использованием метода фармакоэнцефалографии у крыс

    Сысоев, Ю. И., Шиц, Д. Д., Пучик, М. М., Гутий, Т., Федорова, Е., Приходько, В., Титович, И. А., Мелехова, А., Беспалов, А., Князева, И. С., Шустов, Е. & Оковитый, С. В., 2024, In: Drug Development and Registration. 13, 2, p. 120-136

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

  4. 2023

  5. ФАРМАКОЭНЦЕФАЛОГРАФИЧЕСКАЯ ОЦЕНКА ДОЗОЗАВИСИМОСТИ ЭФФЕКТОВ АНТИПСИХОТИЧЕСКИХ СРЕДСТВ У КРЫС

    Сысоев, Ю. И., Шиц, Д. Д., Пучик, М. М., Князева, И. С., Корелов, М. С., Приходько, В., Титович, И. А., Селизарова, Н. & Оковитый, С. В., Nov 2023, In: ФИЗИОЛОГИЧЕСКИЙ ЖУРНАЛ ИМ. И.М. СЕЧЕНОВА. 109, 11, p. 1-19 19 p.

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

  6. Impaired Non-Selective Response Inhibition in Obsessive-Compulsive Disorder

    Машарипов, Р. С., Коротков, А. Д., Князева, И. С., Чередниченко, Д. & Киреев, М. В., 9 Jan 2023, In: International Journal of Environmental Research and Public Health. 20, 2, 1171.

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

  7. 2022

  8. Towards Reliable Solar Atmospheric Parameters Neural-Based Inference

    Lukia, M., Knyazeva, I., Plotnikov, A., Khizhik, A., Hushchyn, M. & Derkach, D., 19 Oct 2022, (E-pub ahead of print) Advances in Neural Computation, Machine Learning, and Cognitive Research VI: International Conference on Neuroinformatics NEUROINFORMATICS 2022. Springer Nature, 7 p. (Studies in Computational Intelligence; vol. 1064).

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

  9. A Bayesian Modeling Approach to Examine the Role of Testosterone Administration on the Endowment Effect and Risk-Taking

    Votinov, M., Knyazeva, I., Habel, U., Konrad, K. & Puiu, A. A., 2022, In: Frontiers in Neuroscience. 16, 858168.

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

  10. 2021

  11. Providing Evidence for the Null Hypothesis in Functional Magnetic Resonance Imaging Using Group-Level Bayesian Inference

    Masharipov, R., Knyazeva, I., Nikolaev, Y., Korotkov, A., Didur, M., Cherednichenko, D. & Kireev, M., 2 Dec 2021, In: Frontiers in Neuroinformatics. 15, 738342.

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

  12. Multi-output Deep Learning Framework for Solar Atmospheric Parameters Inferring from Stokes Profiles

    Knyazeva, I., Plotnikov, A., Medvedeva, T. & Makarenko, N., 2021, Advances in Neural Computation, Machine Learning, and Cognitive Research 5 - Selected Papers from the 23rd International Conference on Neuroinformatics, 2021. Kryzhanovsky, B., Dunin-Barkowski, W., Redko, V., Tiumentsev, Y. & Klimov, V. V. (eds.). Springer Nature, p. 299-307 9 p. (Studies in Computational Intelligence; vol. 1008 SCI).

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

  13. Revealing Differences in Resting States Through Phase Synchronization Analysis. Eyes Open, Eyes Closed in Lighting and Darkness Condition

    Knyazeva, I., Yulia, B., Danko, S. & Makarenko, N., 2021, Advances in Neural Computation, Machine Learning, and Cognitive Research IV : Selected Papers from the 22nd International Conference on Neuroinformatics, 2020. Kryzhanovsky, B., Dunin-Barkowski, W., Redko, V. & Tiumentsev, Y. (eds.). Springer Nature, p. 44-50 7 p. (Studies in Computational Intelligence; vol. 925 SCI).

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

  14. Topological Data Analysis Approach for Weighted Networks Embedding

    Knyazeva, I. & Talalaeva, O., 2021, Networks in the Global World V - Proceedings of NetGloW 2020. Antonyuk, A. & Basov, N. (eds.). Springer Nature, p. 81-100 20 p. (Lecture Notes in Networks and Systems; vol. 181).

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

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