ISSN 0869-6632 (Print)
ISSN 2542-1905 (Online)


Sysoev Ilya Vyacheslavovich

Sysoev Ilya Vyacheslavovich's picture
Lastname: 
Sysoev
First name: 
Ilya
Middle name: 
Vyacheslavovich
Sex: 
Male
Degree: 
Doctor of Sciences
Academic rank: 
Professor
Position: 
associate professor
Country: 
Russia
Additional information: 
Graduated from Saratov State University with honor (2004), started PhD study under supervision of Prof. Boris P. Bezruchko. In 2007 got PhD degree in physics and mathematics (radiophysics). Active as Saratov state University teaching staff member: 2005-2008 teaching assistant, 2008-2020 assistant professor (docent), from 2020 till now associate professor. From 2018 employed as senior researcher in Saratov Branch of Kotel'nikov Institute of Radioengineering and Electronics. In 2019 got Doctor of Sciences degree in radiophysics. Supervised 3 PhD these: by Marina Sysoeva (2015), Maksim Kornilov (2015), Tatiana Medvedeva (2020). Author and coauthor of papers in different areas, including model reconstruction from time series (simulated and experimental data), coupling analysis (Granger causality, transfer entropy et al.), epilepsy research.

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Статьи автора

Авторы Название статьи Журнал
Kornilov M. V., Sysoev I. V. Influence of the choice of the model structure for working capacity of nonlinear Granger causality approach
Kornilov M. V., Sysoev I. V. Investigating nonlinear granger causality method efficiency at strong synchronization of systems
Zemlyannikov A. S., Sysoev I. V. Diagnostics and correction of systematic error while estimating transfer entropy with k-nearest neighbours method
Sysoev I. V., Kulminskiy D. D., Ponomarenko V. I., Prokhorov M. D. Reconstruction of coupling architecture and parameters of time-delayed oscillators in ensembles from time series
Sysoev I. V. Comparison of numerical realisation of algorithm of mutual information calculation based on nearest neighbours
Sysoev I. V., Ponomarenko V. I., Prokhorov M. D. Reconstruction of unidirectionally coupled time-delayed systems of first order from time series of the driven system
Sysoev I. V., Karavaev A. S., Nakonechnyj P. I. Role of model nonlinearity for granger causality based coupling estimation for pathological tremor
Sysoeva M. V., Dikanev T. V., Sysoev I. V. Selecting time scales for empirical model construction
Sysoev I. V. Editorial
Sysoev I. V., Ponomarenko V. I., Prokhorov M. D. Reconstruction of model equations of networks of oscillators with delay in node dynamics and couplings between them: Review
Sysoev I. V. Editorial: 50 years of Granger causality
Astakhova D. I., Sysoeva M. V., Sysoev I. V. Effect of nonlinearity on coupling estimations between oscillators using partial directed coherence approach
Grishchenko A. A., Sysoeva M. V., Sysoev I. V. Detecting the primary time scale of evolution of information properties for local field potentials in brain at absence epilepsy
Sysoeva M. V., Sysoev I. V., Ponomarenko V. I., Prokhorov M. D. Reconstructing the neuron-like oscillator equations modeled by a phase-locked system with delay from scalar time series
Sysoev I. V. Nonlinear days in Saratov for young scientists
Egorov N. M., Ponomarenko V. I., Melnikova S. N., Sysoev I. V., Sysoeva M. V. Common mechanisms of attractorless oscillatory regimes in radioengineering models of brain thalamocortical network
Sysoev I. V. John Horton Conway
Sysoeva M. V., Kornilov M. V., Takaishvili L. V., Matrosov V. V., Sysoev I. V. Reconstruction of integrated equations of periodically driven phase-locked loop system from scalar time series
Egorov N. M., Sysoeva M. V., Ponomarenko V. I., Kornilov M. V., Sysoev I. V. Ring generator of neuron-like activity with tunable frequency
Sysoev I. V. 30 years of “Applied Nonlinear Dynamics”
Sysoev I. V. Nonlinear days in Saratov for young scientists — 2023
Bezruchko B. P., Seleznev E. P., Ponomarenko V. I., Prokhorov M. D., Smirnov D. A., Dikanev T. V., Sysoev I. V., Karavaev A. S. Special approaches to global reconstruction of equations from time series
Bezruchko B. P., Smirnov D. A., Sysoev I. V. Reconstruction with hidden variables: modified Bock’s approach