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Publications in Math-Net.Ru |
Citations |
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2026 |
| 1. |
O. V. Maslennikov, D. S. Shchapin, V. I. Nekorkin, “Classification via Forced Spatiotemporal Dynamics: An Electronic FitzHugh – Nagumo Chain as a Physical Kernel”, Rus. J. Nonlin. Dyn., 22:2 (2026), 273–289  |
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2025 |
| 2. |
R. A. Kononov, O. V. Maslennikov, V. I. Nekorkin, “Dynamics of recurrent neural networks with piecewise linear activation function in the context-dependent decision-making task”, Izvestiya VUZ. Applied Nonlinear Dynamics, 33:2 (2025), 249–265 |
3
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2022 |
| 3. |
O. V. Maslennikov, M. M. Pugavko, D. S. Shchapin, V. I. Nekorkin, “Nonlinear dynamics and machine learning of recurrent spiking neural networks”, UFN, 192:10 (2022), 1089–1109 ; Phys. Usp., 65:10 (2022), 1020–1038   |
18
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2021 |
| 4. |
O. V. Maslennikov, “Dynamics of an artificial recurrent neural network for the problem of modeling a cognitive function”, Izvestiya VUZ. Applied Nonlinear Dynamics, 29:5 (2021), 799–811 |
4
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2020 |
| 5. |
M. M. Pugavko, O. V. Maslennikov, V. I. Nekorkin, “Dynamics of a network of map-based model neurons for supervised learning of a reservoir computing system”, Izvestiya VUZ. Applied Nonlinear Dynamics, 28:1 (2020), 77–89 |
3
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2018 |
| 6. |
A. S. Dmitrichev, D. V. Kasatkin, V. V. Klinshov, S. Yu. Kirillov, O. V. Maslennikov, D. S. Shapin, V. I. Nekorkin, “Nonlinear dynamical models of neurons: Review”, Izvestiya VUZ. Applied Nonlinear Dynamics, 26:4 (2018), 5–58  |
30
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2017 |
| 7. |
O. V. Maslennikov, V. I. Nekorkin, “Adaptive dynamical networks”, UFN, 187:7 (2017), 745–756 ; Phys. Usp., 60:7 (2017), 694–704 |
64
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| Presentations in Math-Net.Ru |
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