Публикации:
I. Franović, S. Eydam, J. Zhu, N. Semenova, F. P. Costa, E. Schöll . Coherence-incoherence patterns in coupled excitable systems . Physics of Life Reviews 58 — 283-335 — 2026. https://doi.org/10.1016/j.plrev.2026.07.003. I. D. Kolesnikov, N. Semenova . Internal noise in analog neural networks helps with learning . Chaos, Solitons & Fractals 206 — 117874 — 2026. https://doi.org/10.1016/j.chaos.2026.117874. D. A. Maksimov, V. M. Moskvitin, N. I. Semenova . Internal noise in deep neural networks: Interplay of depth, neuron number, and noise injection step . Chaos 36 (8) — 083108 — 2026. https://doi.org/10.1063/5.0335904. I. D. Kolesnikov, D. A. Maksimov, V. M. Moskvitin, N. I. Semenova . General aspects of internal noise in spiking neural networks . Chaos 36 (7) — 071104 — 2026. https://doi.org/10.1063/5.0338509. 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. 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. 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. 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). I. D. Kolesnikov, D. A. Maksimov, N. I. 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. (1 citations). 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. 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. (2 citations). 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). 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). 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. 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. 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). 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). 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). 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. 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. 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. 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). 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. 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. 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. 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. 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. 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. 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. 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. 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. 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). 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). 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. 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. 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). 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). 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. 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. 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). 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). 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). 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). 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). 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). 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. 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). 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). 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). 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). 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). 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). 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). 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). 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). 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). 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). 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). 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). 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. 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. 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). 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). 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). 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). 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). 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).