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Publications in Math-Net.Ru |
Citations |
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2024 |
1. |
M. V. Kornilov, A. A. Kapustnikov, E. A. Sozonov, M. V. Sysoeva, I. V. Sysoev, “Synchronization regimes in the ring of rodent hippocampal neurons at limbic epilepsy”, Izvestiya VUZ. Applied Nonlinear Dynamics, 32:3 (2024), 357–375 |
2. |
Anton A. Kapustnikov, Marina V. Sysoeva, Ilya V. Sysoev, “Universal Transient Dynamics in Oscillatory Network Models of Epileptic Seizures” |
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2023 |
3. |
N. M. Egorov, M. V. Sysoeva, V. I. Ponomarenko, M. V. Kornilov, I. V. Sysoev, “Ring generator of neuron-like activity with tunable frequency”, Izvestiya VUZ. Applied Nonlinear Dynamics, 31:1 (2023), 103–120 |
4
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2022 |
4. |
M. V. Sysoeva, M. V. Kornilov, L. V. Takaishvili, V. V. Matrosov, I. V. Sysoev, “Reconstruction of integrated equations of periodically driven phase-locked loop system from scalar time series”, Izvestiya VUZ. Applied Nonlinear Dynamics, 30:4 (2022), 391–410 |
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2021 |
5. |
N. M. Egorov, V. I. Ponomarenko, S. N. Melnikova, I. V. Sysoev, M. V. Sysoeva, “Common mechanisms of attractorless oscillatory regimes in radioengineering models of brain thalamocortical network”, Izvestiya VUZ. Applied Nonlinear Dynamics, 29:6 (2021), 927–942 |
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6. |
N. M. Egorov, V. I. Ponomarenko, I. V. Sysoev, M. V. Sysoeva, “Simulation of epileptiform activity using network of neuron-like radio technical oscillators”, Zhurnal Tekhnicheskoi Fiziki, 91:3 (2021), 519–528 ; Tech. Phys., 66:3 (2021), 505–514 |
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2020 |
7. |
M. V. Sysoeva, I. V. Sysoev, V. I. Ponomarenko, M. D. Prokhorov, “Reconstructing the neuron-like oscillator equations modeled by a phase-locked system with delay from scalar time series”, Izvestiya VUZ. Applied Nonlinear Dynamics, 28:4 (2020), 397–413 |
1
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8. |
A. A. Grishchenko, M. V. Sysoeva, I. V. Sysoev, “Detecting the primary time scale of evolution of information properties for local field potentials in brain at absence epilepsy”, Izvestiya VUZ. Applied Nonlinear Dynamics, 28:1 (2020), 98–110 |
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9. |
A. A. Kapustnikov, M. V. Sysoeva, I. V. Sysoev, “Modeling spike-wave discharges in the brain with small neurooscillator networks”, Mat. Biolog. Bioinform., 15:2 (2020), 138–147 |
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10. |
I. V. Sysoev, M. V. Sysoeva, V. I. Ponomarenko, M. D. Prokhorov, “Neural-like dynamics in a phase-locked loop system with delayed feedback”, Pisma v Zhurnal Tekhnicheskoi Fiziki, 46:14 (2020), 36–38 ; Tech. Phys. Lett., 46:7 (2020), 710–712 |
1
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11. |
D. D. Kulminskij, V. I. Ponomarenko, I. V. Sysoev, M. D. Prokhorov, “A new approach to the experimental study of large ensembles of radioengineering oscillators with complex couplings”, Pisma v Zhurnal Tekhnicheskoi Fiziki, 46:4 (2020), 26–29 ; Tech. Phys. Lett., 46:2 (2020), 175–178 |
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2019 |
12. |
D. I. Astakhova, M. V. Sysoeva, I. V. Sysoev, “Effect of nonlinearity on coupling estimations between oscillators using partial directed coherence approach”, Izvestiya VUZ. Applied Nonlinear Dynamics, 27:6 (2019), 8–24 |
1
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13. |
I. V. Sysoev, V. I. Ponomarenko, M. D. Prokhorov, “Reconstruction of model equations of networks of oscillators with delay in node dynamics and couplings between them: Review”, Izvestiya VUZ. Applied Nonlinear Dynamics, 27:4 (2019), 13–51 |
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2018 |
14. |
I. V. Sysoev, V. I. Ponomarenko, M. D. Prokhorov, “Reconstruction of ensembles of oscillators with nonlinear time-delay feedbacks”, Pisma v Zhurnal Tekhnicheskoi Fiziki, 44:22 (2018), 57–64 ; Tech. Phys. Lett., 44:11 (2018), 1024–1027 |
1
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15. |
M. V. Kornilov, I. V. Sysoev, “Recovering the architecture of links in a chain of three unidirectionally coupled systems using the Granger-causality test”, Pisma v Zhurnal Tekhnicheskoi Fiziki, 44:10 (2018), 86–95 ; Tech. Phys. Lett., 44:5 (2018), 445–449 |
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2017 |
16. |
I. V. Sysoev, V. I. Ponomarenko, M. D. Prokhorov, “Reconstruction of unidirectionally coupled time-delayed systems of first order from time series of the driven system”, Izvestiya VUZ. Applied Nonlinear Dynamics, 25:1 (2017), 84–93 |
17. |
A. A. Grishchenko, C. M. van Rijn, I. V. Sysoev, “Comparative analysis of methods for estimation of undirected coupling from time series of intracranial EEGs of cortex of rats-genetic models of absence epilepsy”, Mat. Biolog. Bioinform., 12:2 (2017), 317–326 |
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18. |
M. V. Kornilov, I. V. Sysoev, “Estimating the efficiency of the Granger causality method for detecting unidirectional coupling in the presence of common low frequency interference”, Nelin. Dinam., 13:3 (2017), 349–362 |
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2016 |
19. |
I. V. Sysoev, “Comparison of numerical realisation of algorithm of mutual information calculation based on nearest neighbours”, Izvestiya VUZ. Applied Nonlinear Dynamics, 24:4 (2016), 86–95 |
1
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20. |
I. V. Sysoev, D. D. Kulminskij, V. I. Ponomarenko, M. D. Prokhorov, “Reconstruction of coupling architecture and parameters of time-delayed oscillators in ensembles from time series”, Izvestiya VUZ. Applied Nonlinear Dynamics, 24:3 (2016), 21–37 |
21. |
I. V. Sysoev, V. I. Ponomarenko, “Reconstruction of the coupling matrix in the ensemble of identical neuron-like oscillators with time delay in coupling”, Nelin. Dinam., 12:4 (2016), 567–576 |
3
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22. |
I. V. Sysoev, V. I. Ponomarenko, M. D. Prokhorov, “Determination of the coupling architecture and parameters of elements in ensembles of time-delay systems”, Pisma v Zhurnal Tekhnicheskoi Fiziki, 42:1 (2016), 95–102 ; Tech. Phys. Lett., 42:1 (2016), 47–50 |
2
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2015 |
23. |
A. S. Zemlyannikov, I. V. Sysoev, “Diagnostics and correction of systematic error while estimating transfer entropy with $K$-nearest neighbours method”, Izvestiya VUZ. Applied Nonlinear Dynamics, 23:4 (2015), 24–31 |
24. |
T.M. Medvedeva, F.B. Paramonov, I. V. Sysoev, “The effect of increase of the Granger causality method sensitivity with rise of a measurement noise”, Nelin. Dinam., 11:4 (2015), 657–670 |
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2014 |
25. |
M. V. Kornilov, I. V. Sysoev, “Investigating nonlinear Granger causality method efficiency at strong synchronization of systems”, Izvestiya VUZ. Applied Nonlinear Dynamics, 22:4 (2014), 66–76 |
26. |
Maxim V. Kornilov, Ilya V. Sysoev, Boris P. Bezrychko, “Optimal selection of parameters of the forecasting models used for the nonlinear Granger causality method in application to the signals with a main time scales”, Nelin. Dinam., 10:3 (2014), 279–295 |
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2013 |
27. |
M. V. Sysoeva, V. I. Ponomarenko, M. D. Prokhorov, I. V. Sysoev, “Reconstruction of time-delay systems under external periodic driving”, Nelin. Dinam., 9:4 (2013), 613–626 |
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2023 |
28. |
I. V. Sysoev, “Nonlinear days in Saratov for young scientists — 2023”, Izvestiya VUZ. Applied Nonlinear Dynamics, 31:5 (2023), 547–548 |
29. |
I. V. Sysoev, “30 years of "Applied Nonlinear Dynamics"”, Izvestiya VUZ. Applied Nonlinear Dynamics, 31:1 (2023), 5–7 |
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2022 |
30. |
I. V. Sysoev, “John Horton Conway”, Izvestiya VUZ. Applied Nonlinear Dynamics, 30:2 (2022), 129–131 |
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2021 |
31. |
I. V. Sysoev, “Nonlinear days in Saratov for young scientists”, Izvestiya VUZ. Applied Nonlinear Dynamics, 29:6 (2021), 833–834 |
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2019 |
32. |
I. V. Sysoev, “Editorial: 50 years of Granger causality”, Izvestiya VUZ. Applied Nonlinear Dynamics, 27:6 (2019), 5–7 |
33. |
I. V. Sysoev, “Editorial”, Izvestiya VUZ. Applied Nonlinear Dynamics, 27:3 (2019), 5–8 |
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