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

Sysoev Ilya V.

Sysoev Ilya V.'s picture
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Doctor of Sciences
associate professor
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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

Reconstruction of unidirectionally coupled time-delayed systems of first order from time series of the driven system
Comparison of numerical realisation of algorithm of mutual information calculation based on nearest neighbours
Reconstruction of coupling architecture and parameters of time-delayed oscillators in ensembles from time series
Diagnostics and correction of systematic error while estimating transfer entropy with k-nearest neighbours method
Role of model nonlinearity for granger causality based coupling estimation for pathological tremor
Investigating nonlinear granger causality method efficiency at strong synchronization of systems
Selecting time scales for empirical model construction
Influence of the choice of the model structure for working capacity of nonlinear Granger causality approach
Reconstruction of model equations of networks of oscillators with delay in node dynamics and couplings between them: Review
Editorial: 50 years of Granger causality
Effect of nonlinearity on coupling estimations between oscillators using partial directed coherence approach
Detecting the primary time scale of evolution of information properties for local field potentials in brain at absence epilepsy
Reconstructing the neuron-like oscillator equations modeled by a phase-locked system with delay from scalar time series
Nonlinear days in Saratov for young scientists
Common mechanisms of attractorless oscillatory regimes in radioengineering models of brain thalamocortical network
John Horton Conway