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Sysoeva, Marina Vyacheslavovna

Statistics Math-Net.Ru
Total publications: 13
Scientific articles: 13

Number of views:
This page:208
Abstract pages:1417
Full texts:591
References:128
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https://www.mathnet.ru/eng/person90270
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Publications in Math-Net.Ru Citations
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  mathnet
2. Anton A. Kapustnikov, Marina V. Sysoeva, Ilya V. Sysoev, “Universal Transient Dynamics in Oscillatory Network Models of Epileptic Seizures”  mathnet 1
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  mathnet 5
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  mathnet
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  mathnet 5
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  mathnet  elib; Tech. Phys., 66:3 (2021), 505–514  scopus 7
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  mathnet 1
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  mathnet 3
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  mathnet 7
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  mathnet  elib; Tech. Phys. Lett., 46:7 (2020), 710–712 1
2019
11. 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  mathnet 1
2018
12. M. V. Sysoeva, T.M. Medvedeva, “Optimization of Granger causation method parameters for the study of limbic epilepsy”, Izvestiya VUZ. Applied Nonlinear Dynamics, 26:5 (2018),  39–62  mathnet  elib 4
2013
13. 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  mathnet 1

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