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1. I. D. Kolesnikov, D. A. Maksimov, V. M. Moskvitin, N. Semenova. General aspects of internal noise in spiking neural networks. Chaos 36 (7) — 071104 — 071104 — 2026. https://doi.org/https://doi.org/10.1063/5.0338509.
2. D. A. Maksimov, V. M. Moskvitin, N. Semenova. Internal noise in deep neural networks: Interplay of depth, neuron number, and noise injection step. Chaos 36 (8) — 083108 — 083108 — 2026. https://doi.org/10.1063/5.0335904.
3. 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.
4. A. R. Brazhe, N. A. Brazhe, A. N. Pavlov, G. V. Maksimov. Interference Microscopy for Cellular Studies. Handbook of Research on Systems Biology Applications in Medicine — 656-672 — 2009. https://doi.org/10.4018/978-1-60566-076-9.ch037.
5. N. A. Brazhe, A. R. Brazhe, A. N. Pavlov, L. A. Erokhova, A. I. Yusipovich, G. V. Maksimov, E. Mosekilde, O. V. Sosnovtseva. Unraveling Cell Processes: Interference Imaging Interwoven with Data Analysis. Journal of Biological Physics 32 (3-4) — 191-208 — 2006. https://doi.org/10.1007/s10867-006-9012-1. (37 citations).
6. O. V. Sosnovtseva, A. N. Pavlov, N. A. Brazhe, A. R. Brazhe, L. A. Erokhova, G. V. Maksimov, E. Mosekilde. Interference Microscopy under Double-Wavelet Analysis: A New Approach to Studying Cell Dynamics. Physical Review Letters 94 (21) — 218103 — 2005. https://doi.org/10.1103/physrevlett.94.218103. (29 citations).