| Visual and kinesthetic modes affect motor imagery classification in untrained subjects P Chholak, G Niso, VA Maksimenko, SA Kurkin, NS Frolov, EN Pitsik, ... Scientific reports 9 (1), 9838, 2019 | 145 | 2019 |
| Artificial neural network classification of motor-related eeg: An increase in classification accuracy by reducing signal complexity VA Maksimenko, SA Kurkin, EN Pitsik, VY Musatov, AE Runnova, ... Complexity 2018, 2018 | 139 | 2018 |
| Nonlinear analysis of brain activity, associated with motor action and motor imaginary in untrained subjects VA Maksimenko, A Pavlov, AE Runnova, V Nedaivozov, V Grubov, ... Nonlinear Dynamics 91, 2803-2817, 2018 | 109 | 2018 |
| Age-related slowing down in the motor initiation in elderly adults NS Frolov, EN Pitsik, VA Maksimenko, VV Grubov, AR Kiselev, Z Wang, ... Plos one 15 (9), e0233942, 2020 | 67 | 2020 |
| Motor execution reduces EEG signals complexity: Recurrence quantification analysis study E Pitsik, N Frolov, K Hauke Kraemer, V Grubov, V Maksimenko, J Kurths, ... Chaos: An Interdisciplinary Journal of Nonlinear Science 30 (2), 2020 | 60 | 2020 |
| Inter-layer competition in adaptive multiplex network E Pitsik, V Makarov, D Kirsanov, N Frolov, M Goremyko, X Li, Z Wang, ... New Journal of Physics 20 (7), 075004, 2018 | 29 | 2018 |
| Age-related distinctions in eeg signals during execution of motor tasks characterized in terms of long-range correlations AN Pavlov, EN Pitsik, NS Frolov, A Badarin, ON Pavlova, AE Hramov Sensors 20 (20), 5843, 2020 | 26 | 2020 |
| Artificial intelligence systems for classifying eeg responses to imaginary and real movements of operators S Kurkin, E Pitsik, N Frolov Saratov Fall Meeting 2018: Computations and Data Analysis: from Nanoscale …, 2019 | 24 | 2019 |
| The topology of fMRI-based networks defines the performance of a graph neural network for the classification of patients with major depressive disorder EN Pitsik, VA Maximenko, SA Kurkin, AP Sergeev, D Stoyanov, ... Chaos, Solitons & Fractals 167, 113041, 2023 | 23 | 2023 |
| Dynamics of map-based neuronal network with modified spike-timing-dependent plasticity AV Andreev, EN Pitsik, VV Makarov, AN Pisarchik, AE Hramov The European Physical Journal Special Topics 227, 1029-1038, 2018 | 17 | 2018 |
| Analysis of publication activity and research trends in the field of ai medical applications: Network approach OE Karpov, EN Pitsik, SA Kurkin, VA Maksimenko, AV Gusev, ... International Journal of Environmental Research and Public Health 20 (7), 5335, 2023 | 14 | 2023 |
| Cumulant analysis in wavelet space for studying effects of aging on electrical activity of the brain GA Guyo, AN Pavlov, EN Pitsik, NS Frolov, AA Badarin, VV Grubov, ... Chaos, Solitons & Fractals 158, 112038, 2022 | 14 | 2022 |
| Analysis of real and imaginary motor activity with combined eeg and fnirs VV Grubov, AA Badarin, NS Frolov, EN Pitsik Saratov Fall Meeting 2019: Computations and Data Analysis: from Nanoscale …, 2020 | 12 | 2020 |
| Approaches for the improvement of motor-related patterns classification in eeg signals S Kurkin, V Maksimenko, E Pitsik 2019 3rd School on Dynamics of Complex Networks and their Application in …, 2019 | 12 | 2019 |
| A MEG Study of Different Motor Imagery Modes in Untrained Subjects for BCI Applications. AE Hramov, EN Pitsik, P Chholak, VA Maksimenko, NS Frolov, SA Kurkin, ... ICINCO (1), 188-195, 2019 | 7 | 2019 |
| Features of the resting-state functional brain network of children with autism spectrum disorder: EEG source-level analysis S Kurkin, N Smirnov, E Pitsik, MS Kabir, O Martynova, O Sysoeva, ... The European Physical Journal Special Topics 232 (5), 683-693, 2023 | 6 | 2023 |
| Age-related changes in functional connectivity during the sensorimotor integration detected by artificial neural network EN Pitsik, NS Frolov, N Shusharina, AE Hramov Sensors 22 (7), 2537, 2022 | 6 | 2022 |
| Analysis of motor activity using electromyogram signals VS Khorev, VA Maksimenko, EN Pitsik, AE Runnova, SA Kurkin, ... Informatsionno-upravliaiushchie sistemy, 114-120, 2019 | 6 | 2019 |
| Perceptual integration compensates for attention deficit in elderly during repetitive auditory-based sensorimotor task N Frolov, E Pitsik, V Grubov, A Badarin, V Maksimenko, A Zakharov, ... Sensors 23 (14), 6420, 2023 | 5 | 2023 |
| Classifying electrical activity of the brain during imaginary movements of untrained subjects using artificial neural networks SA Kurkin, EN Pitsik, AE Hramov Informatsionno-upravliaiushchie sistemy, 77-84, 2020 | 5 | 2020 |
Alexander HramovImmanuel Kant Baltic Federal UniversityDirección de correo verificada de nonlin.sgu.ru
