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Radiophysics and Nonlinear Dynamics Department
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Стрелкова Г.И.
Астахов В.В.
Вадивасова Т.Е.
Шабунин А.В.
Петров В.В.
Слепнев А.В.
Семенова Н.И.
Сергеев К.С.
Шепелев И.А.
Семенов В.В.
Корнеев И.А.
Рыбалова Е.В.
Богатенко Т.Р.
Елизаров Е.М.
Рамазанов И.Р.
Бух А.В.
Колесников И.Д.
Рябченко А.Д.
Рябов А.А.
Никишина Н.Н.
Аверьянов В.М.
Публикации:
  1. I. D. Kolesnikov, Russia Russia, N. Semenova, Russia Russia. Impact of internal noise on convolutional neural networks. Chaos: An Interdisciplinary Journal of Nonlinear Science 35 (6) — 061104 — 2025. https://doi.org/10.1063/5.0275670.
  2. Nadezhda Semenova. Recurrent neural network consisting of FitzHugh–Nagumo systems. Characteristics required for training. Izvestiya VUZ. Applied Nonlinear Dynamics — 2025. https://doi.org/10.18500/0869-6632-003166.
  3. Nadezhda Semenova. Impact of white Gaussian internal noise on echo state neural networks. The European Physical Journal Special Topics — 2025. https://doi.org/10.1140/epjs/s11734-025-01697-7.
  4. D. Perevozniuk, I. Lazarenko, N. I. Semenova, E. Sitnikova. A simple and fast ANN-based method of studying slow-wave sleep microstructure in freely moving rats. Biosystems 235 — 105112 — 105112 — 2024. https://doi.org/10.1016/j.biosystems.2023.105112. (1 citations).
  5. N. A. Svetlitsyna, V. V. Tuchin, N. I. Semenova. Modelling the effect of osmotic pressure on cancer cell growth: The role of area size and duration of exposure. Izvestiya of Saratov University. Physics 24 (4) — 374-383 — 2024. https://doi.org/10.18500/1817-3020-2024-24-4-374-383.
  6. Ivan Kolesnikov, Daniil Maksimov, Nadezhda Semenova. How internal noise impacts simplified deep neural network during training. 2024 8th Scientific School Dynamics of Complex Networks and their Applications (DCNA) — 128-130 — 2024. https://doi.org/10.1109/dcna63495.2024.10718635.
  7. E. V. Rybalova, N. I. Semenova. Impact of pulse exposure on chimera state in ensemble of FitzHugh–Nagumo systems. Chaos 34 (7) — 071101 — 2024. https://doi.org/10.1063/5.0214787.
  8. N. I. Semenova, D. Brunner. Impact of white noise in artificial neural networks trained for classification: Performance and noise mitigation strategies. Chaos 34 (5) — 051101 — 2024. https://doi.org/10.1063/5.0206807. (4 citations).
  9. N. Svetlitsyna, N. I. Semenova, V. V. Tuchin. Conditions of acceleration and deceleration of the cancer cell growth under osmotic pressure. Chaos 34 (2) — 021102 — 2024. https://doi.org/10.1063/5.0189550. (1 citations).
  10. E. V. Rybalova, N. I. Semenova. Spiking activities in small neural networks induced by external forcing. Chaos 34 (10) — 101105 — 2024. https://doi.org/10.1063/5.0226896.
  11. Н. И. Семенова. Программа для моделирования ансамбля систем ФитцХью-Нагумо под импульсным воздействием. Свидетельство о государственной регистрации программы для ЭВМ RU2024684965 (22.10.2024) — заявка RU2024684426 (22.10.2024) — 2024.
  12. K. S. Sergeev, A. Runnova, M. Zhuravlev, E. Sitnikova, E. Rutskova, K. Smirnov, A. V. Slepnev, N. I. Semenova. Simple method for detecting sleep episodes in rats ECoG using machine learning. Chaos, Solitons and Fractals 173 — 113608 — 113608 — 2023. https://doi.org/10.1016/j.chaos.2023.113608. (9 citations).
  13. T. R. Bogatenko, K. s. Sergeev, A. S. Slepnev, J. Kurths, N. I. Semenova. Symbiosis of an artificial neural network and models of biological neurons: Training and testing. Chaos 33 (7) — 073122 — 073122 — 2023. https://doi.org/10.1063/5.0152703. (5 citations).
  14. O. V. Semyachkina-Glushkovskaya, K. S. Sergeev, N. I. Semenova, A. V. Slepnev, A. Karavaev, A. Hramkov, M. Prokhorov, E. Borovkova, I. Blokhina, I. Fedosov, A. Shirokov, A. Dubrovsky, A. Terskov, M. Manzhaeva, V. Krupnova, A. Dmitrenko, D. Zlatogorskaya, V. Adushkina, A. Evsukova, M. T., I. Elizarova, E. Ilyukov, D. Myagkov, D. Tuktarov, J. Kurths. Machine Learning Technology for EEG-Forecast of the Blood–Brain Barrier Leakage and the Activation of the Brain’s Drainage System during Isoflurane Anesthesia. Biomolecules 13 (11) — 1605 — 2023. https://doi.org/10.3390/biom13111605. (2 citations).
  15. Н. И. Семенова. Влияние шума на работу рекуррентных нейронных сетей. Нелинейные дни в Саратове для молодых - 2023: материалы XXX Всероссийской научной конференции 17 — 120-121 — 2023.
  16. Т. Р. Богатенко, К. С. Сергеев, А. В. Слепнев, Г. И. Стрелкова, Н. И. Семенова. Особенности внедрения, обучения и функционирования искусственной нейронной сети, состоящей из моделей биологических нейронов. Нелинейные дни в Саратове для молодых - 2023: материалы XXX Всероссийской научной конференции 17 — 85-86 — 2023.
  17. Н. А. Светлицына, В. В. Тучин, Н. И. Семенова. Влияние осмотического давления на рост раковых клетокна поверхности эпидермиса. Нелинейные дни в Саратове для молодых - 2023: материалы XXX Всероссийской научной конференции 17 — 150-151 — 2023.
  18. V. M. Moskvitin, N. I. Semenova. Noise Impact on a Recurrent Neural Network with a Linear Activation Function. Nelineinaya Dinamika 19 (2) — 281-293 — 2023. https://doi.org/10.20537/nd230502. (1 citations).
  19. V. Moskvitin, N. I. Semenova. Noise influence on recurrent neural network with nonlinear neurons. Izvestiya VUZ. Applied Nonlinear Dynamics 31 (4) — 484-500 — 2023. https://doi.org/10.18500/0869-6632-003052.
  20. V. Moskvitin, N. I. Semenova. How noise impacts on trained echo-state neural network. 2023 7th Scientific School Dynamics of Complex Networks and their Applications (DCNA) — 2023. https://doi.org/10.1109/dcna59899.2023.10290542.
  21. Н. И. Семенова. Симулятор искусственной нейронной сети , находящейся под шумовым воздействием. Свидетельство о государственной регистрации программы для ЭВМ RU2023619208 (05.05.2023) — заявка RU2023618612 (05.05.2023) — 2023. https://new.fips.ru/registers-doc-view/fips_servlet?DB=EVM&DocNumber=2023619208&TypeFile=html.
  22. Н. И. Семенова. Программа для распознавания сна по ЭКоГ сигналам, снятым с левого и правого участков лобной коры и затылочной коры мозга крыс, при помощи искусственной нейронной сети. Свидетельство о государственной регистрации программы для ЭВМ RU2023665950 (23.07.2023) — заявка RU2023665232 (23.07.2023) — 2023. https://new.fips.ru/registers-doc-view/fips_servlet?DB=EVM&DocNumber=2023665950&TypeFile=html.
  23. Н. И. Семенова, Н. А. Светлицына. Программа для моделирования роста меланомы на двумерной поверхности эпидермиса в условиях осмотического и механического давления. Свидетельство о государственной регистрации программы для ЭВМ RU2023665951 (24.07.2023) — заявка RU2023665233 (24.07.2023) — 2023. https://new.fips.ru/registers-doc-view/fips_servlet?DB=EVM&DocNumber=2023665951&TypeFile=html.
  24. Н. И. Семенова. Библиотека для задания двумерных матриц и оптимизированной реализации операций над двумерными матрицами. Свидетельство о государственной регистрации программы для ЭВМ RU2023687535 (17.12.2023) — заявка RU2023687735 (17.12.2023) — 2023. https://new.fips.ru/registers-doc-view/fips_servlet?DB=EVM&DocNumber=2023687535&TypeFile=html.
  25. Н. И. Семенова. Программа для обучения искусственной нейронной сети, состоящей из систем ФитцХью-Нагумо. Свидетельство о государственной регистрации программы для ЭВМ RU2023687536 (17.12.2023) — заявка RU2023687736 (17.12.2023) — 2023. https://new.fips.ru/registers-doc-view/fips_servlet?DB=EVM&DocNumber=2023687536&TypeFile=html.
  26. Н. А. Светлицына, В. В. Тучин, Н. И. Семенова. Нелинейная динамическая модель ансамбля раковых клеток в условиях иммерсионного оптического просветления. Невская фотоника-2023, Всероссийская научная конференция с международным участием: сборник научных трудов — 279 — 2023. https://nevphoton.ru/docs/programNF2023.pdf.
  27. Д. А. Перевознюк, К. С. Сергеев, А. В. Слепнев, Н. И. Семенова, Е. Ю. Ситникова. Простая искусственная нейронная сеть распознает состояние «медленный сон» у крыс в свободном поведении. Нелинейная динамика в когнитивных исследованиях - 2023: Труды VIII Всероссийской конференции — 122-124 — 2023.
  28. V. V. Semenov, A. V. Bukh, N. Semenova. Delay-induced self-oscillation excitation in the Fitzhugh–Nagumo model: Regular and chaotic dynamics. Chaos, Solitons and Fractals 172 — 113524 — 113524 — 2023. https://doi.org/10.1016/j.chaos.2023.113524. (11 citations).
  29. O. V. Semyachkina-Glushkovskaya, A. S. Karavaev, M. D. Prokhorov, A. E. Runnova, E. I. Borovkova, Yu. M. Ishbulatov, A. N. Hramkov, D. D. Kulminskiy, N. I. Semenova, K. S. Sergeev, A. V. Slepnev, E. Yu. Sitnikova, M. O. Zhuravlev, I. V. Fedosov, A. A. Shirokov, I. A. Blokhina, A. I. Dubrovski, A. V. Terskov, A. P. Khorovodov, V. B. Ageev, D. A. Elovenko, A. S. V. V. Evsukova, Adushkina, V. V. Telnova, D. E. Postnov, T. U. Penzel, J. G. Kurths. EEG biomarkers of activation of the lymphatic drainage system of the brain during sleep and opening of the blood-brain barrier. Computational and Structural Biotechnology Journal 21 — 758-768 — 2023. https://doi.org/10.1016/j.csbj.2022.12.019. (17 citations).
  30. В. В. Семенов, А. В. Бух, Н. И. Семенова. Возбуждение автоколебаний в модели ФитцХью-Нагумо: периодическая и хаотическая динамика. Нелинейные дни в Саратове для молодых - 2023: материалы XXX Всероссийской научной конференции 17 — 43-44 — 2023. https://www.elibrary.ru/item.asp?id=53982482.
  31. N. I. Semenova. Controlling the Number of Spikes in FitzHugh–Nagumo System Under Periodic Forcing. 2023 Fifth International Conference Neurotechnologies and Neurointerfaces (CNN) — 2023. https://doi.org/10.1109/cnn59923.2023.10275206.
  32. I. Franović, S. Eydam, N. I. Semenova, A. Zakharova. Unbalanced clustering and solitary states in coupled excitable systems. Chaos 32 (1) — 011104 — 011104 — 2022. https://doi.org/10.1063/5.0077022. (26 citations).
  33. N. I. Semenova, D. Brunner. Noise-mitigation strategies in physical feedforward neural networks. Chaos 32 (6) — 061106 — 061106 — 2022. https://doi.org/10.1063/5.0096637. (11 citations).
  34. Nadezhda Semenova. The impact of uncorrelated noise on echo state networks. 2022 6th Scientific School Dynamics of Complex Networks and their Applications (DCNA) — 240-243 — 2022. https://doi.org/10.1109/dcna56428.2022.9923121.
  35. Igor Franovic, Sebastian Eydam, Nadezhda Semenova, Anna Zakharova. Solitary states in arrays of excitable FitzHugh-Nagumo units. 2022 6th Scientific School Dynamics of Complex Networks and their Applications (DCNA) — 89-92 — 2022. https://doi.org/10.1109/dcna56428.2022.9923122.
  36. Nadezhda Semenova, Laurent Larger, Daniel Brunner. Understanding and mitigating noise in trained deep neural networks. Neural Networks 146 — 151-160 — 2022. https://doi.org/10.1016/j.neunet.2021.11.008. (37 citations).
  37. K. S. Sergeev, A. Runnova, M. Zhuravlev, O. Kolokolov, N. Akimova, A. Kiselev, A. Titova, A. V. Slepnev, N. I. Semenova, T. Penzel. Wavelet skeletons in sleep EEG-monitoring as biomarkers of early diagnostics of mild cognitive impairment. Chaos 31 (7) — 073110 — 073110 — 2021. https://doi.org/10.1063/5.0055441. (17 citations).
  38. Nadezhda Semenova, Valerij Tuchin. Impact of osmotic pressure on cancer cells in a three-dimensional cellular lattice and cell spheroid. Izvestiya VUZ. Applied Nonlinear Dynamics 29 (4) — 559-570 — 2021. https://doi.org/10.18500/0869-6632-2021-29-4-559-570. (1 citations).
  39. N. I. Semenova, V. V. Tuchin. 3D models of the dynamics of cancer cells under external pressure. Chaos 31 (8) — 083122 — 083122 — 2021. https://doi.org/10.1063/5.0056764. (6 citations).
  40. N.I. Semenova, K.S. Segreev, A.V. Slepnev, A. Runnova, M. Zhuravlev, I. Blokhina, A. Dubrovsky, M. Klimova, A. Terskov, O. Semyachkina-Glushkovskaya, J. Kurths. Blood-brain barrier permeability changes: nonlinear analysis of ECoG based on wavelet and machine learning approaches. The European Physical Journal Plus 136 (7) — 736 — 2021. https://doi.org/10.1140/epjp/s13360-021-01715-2. (10 citations).
  41. Nadezhda Semenova. Chimera states in ensembles of excitable FitzHugh–Nagumo systems. The European Physical Journal Special Topics 229 (12-13) — 2295-2306 — 2020. https://doi.org/10.1140/epjst/e2020-900254-6. (7 citations).
  42. X. Porte, L. Andreoli, N. I. Semenova, V. V. Semenov, M. Jacquot, L. Larger, D. Brunner. Noise and Consistency of Analogue Spatio-Temporal Photonic Neural Networks. 2019 Conference on Lasers and Electro-Optics Europe and European Quantum Electronics Conference — jsi_p_10 — 2019. https://opg.optica.org/abstract.cfm?URI=CLEO_Europe-2019-jsi_p_10.
  43. N. I. Semenova, X. Porte, L. Andreoli, M. Jacquot, L. Larger, D. Brunner. Fundamental aspects of noise in analog-hardware neural networks. Chaos 29 (10) — 103128 — 103128 — 2019. https://doi.org/10.1063/1.5120824. (29 citations).
  44. N. I. Semenova, A. Zakharova. Weak multiplexing induces coherence resonance. Chaos 28 (5) — 051104 — 051104 — 2018. https://doi.org/10.1063/1.5037584. (43 citations).
  45. Nadezhda Semenova, Tatyana Vadivasova, Vadim Anishchenko. Mechanism of solitary state appearance in an ensemble of nonlocally coupled Lozi maps. The European Physical Journal Special Topics 227 (10-11) — 1173-1183 — 2018. https://doi.org/10.1140/epjst/e2018-800035-y. (30 citations).
  46. Vadim Anishchenko, Elena Rybalova, Nadezhda Semenova. Chimera States in two coupled ensembles of Henon and Lozi maps. Controlling chimera states. AIP Conference Proceedings — 2018. https://doi.org/10.1063/1.5044083. (3 citations).
  47. A. V. Bukh, E. V. Rybalova, N. I. Semenova, G. I. Strelkova, V. S. Anishchenko. New type of chimera and mutual synchronization of spatiotemporal structures in two coupled ensembles of nonlocally interacting chaotic maps. Chaos 27 (11) — 111102 — 111102 — 2017. https://doi.org/10.1063/1.5009375. (61 citations).
  48. N. I. Semenova, G. I. Strelkova, V. S. Anishchenko, A. Zakharova. Temporal intermittency and the lifetime of chimera states in ensembles of nonlocally coupled chaotic oscillators. Chaos 27 (6) — 061102 — 061102 — 2017. https://doi.org/10.1063/1.4985143. (46 citations).
  49. A. Zakharova, N. I. Semenova, V. S. Anishchenko, E. Schöll. Time-delayed feedback control of coherence resonance chimeras. Chaos 27 (11) — 114320 — 114320 — 2017. https://doi.org/10.1063/1.5008385. (50 citations).
  50. Anna Zakharova, Nadezhda Semenova, Vadim Anishchenko, Eckehard Schöll. Noise-Induced Chimera States in a Neural Network. Patterns of Dynamics — 44-63 — 2017. https://doi.org/10.1007/978-3-319-64173-7_4. (9 citations).
  51. Elena Rybalova, Nadezhda Semenova, Galina Strelkova, Vadim Anishchenko. Transition from complete synchronization to spatio-temporal chaos in coupled chaotic systems with nonhyperbolic and hyperbolic attractors. The European Physical Journal Special Topics 226 (9) — 1857-1866 — 2017. https://doi.org/10.1140/epjst/e2017-70023-1. (39 citations).
  52. Nadezhda I. Semenova, Elena V. Rybalova, Galina I. Strelkova, Vadim S. Anishchenko. “Coherence–incoherence” transition in ensembles of nonlocally coupled chaotic oscillators with nonhyperbolic and hyperbolic attractors. Regular and Chaotic Dynamics 22 (2) — 148-162 — 2017. https://doi.org/10.1134/s1560354717020046. (25 citations).
  53. Nadezhda Semenova, Anna Zakharova, Vadim Anishchenko, Eckehard Schöll. Coherence-Resonance Chimeras in a Network of Excitable Elements. Physical Review Letters 117 (1) — 014102 — 2016. https://doi.org/10.1103/physrevlett.117.014102. (175 citations).
  54. N. Semenova, A. Zakharova, E. Schöll, V. Anishchenko. Impact of hyperbolicity on chimera states in ensembles of nonlocally coupled chaotic oscillators. AIP Conference Proceedings — 2016. https://doi.org/10.1063/1.4951997. (2 citations).
  55. Н.И. Семенова, В.С. Анищенко. Coherence-incoherence transition with appearance of chimera states in a onedimensional ensemble. Nelineinaya Dinamika — 295-309 — 2016. https://doi.org/10.20537/nd1603001. (2 citations).
  56. N. I. Semenova, T. I. Galaktionova, V. S. Anishchenko. Poincare Recurrences and Afraimovich–Pesin Dimension in a Nonautonomous Conservative Oscillator. Izvestiya of Saratov University. Physics 16 (4) — 195-203 — 2016. https://doi.org/10.18500/1817-3020-2016-16-4-195-203.
  57. N. Semenova, E. Rybalova, V. Anishchenko. How the Minimal Poincar´e Return Time Depends on the Size of a Return Region in a Linear Circle Map. The interdisciplinary journal of Discontinuity, Nonlinearity, and Complexity 5 (4) — 335-364 — 2016. https://doi.org/10.5890/dnc.2016.12.002.
  58. N. I. Semenova, V. S. Anishchenko. Fibonacci stairs and the Afraimovich-Pesin dimension for a stroboscopic section of a nonautonomous van der Pol oscillator. Chaos 25 (7) — 073111 — 073111 — 2015. https://doi.org/10.1063/1.4926453. (2 citations).
  59. N. Semenova, A. Zakharova, E. Schöll, V. Anishchenko. Does hyperbolicity impede emergence of chimera states in networks of nonlocally coupled chaotic oscillators?. EPL (Europhysics Letters) 112 (4) — 40002 — 2015. https://doi.org/10.1209/0295-5075/112/40002. (80 citations).
  60. V.S. Anishchenko, N.I. Semenova, T.E. Vadivasova. Poincar'e Recurrences in the Circle Map: Fibonacci Stairs. The interdisciplinary journal of Discontinuity, Nonlinearity and Complexity 4 (2) — 111-119 — 2015. https://doi.org/10.5890/dnc.2015.06.001. (3 citations).
  61. V.S. Anishchenko, Ya.I. Boev, N.I. Semenova, G.I. Strelkova. Local and global approaches to the problem of Poincaré recurrences. Applications in nonlinear dynamics. Physics Reports 587 — 1-39 — 2015. https://doi.org/10.1016/j.physrep.2015.05.004. (8 citations).
  62. N. I. Semenova, T. E. Vadivasova, G. I. Strelkova, V. S. Anishchenko. Statistical properties of Poincaré recurrences and Afraimovich–Pesin dimension for the circle map. Communications in Nonlinear Science and Numerical Simulation 22 (1-3) — 1050-1061 — 2015. https://doi.org/10.1016/j.cnsns.2014.08.037. (4 citations).
  63. Y. I. Boev, N. I. Semenova, G. I. Strelkova, V. S. Anishchenko. Poincaré Recurrences in a Nonautonomous Chaotic Map. International Journal of Bifurcation and Chaos 24 (08) — 1440016 — 2014. https://doi.org/10.1142/s0218127414400161. (1 citations).
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