Zobrazeno 1 - 10
of 74
pro vyhledávání: '"Ilya V. Sysoev"'
Mathematical Modeling of Neurons and Brain Networks: Fundamental Principles and Special Applications
Autor:
Ilya V. Sysoev
Publikováno v:
Mathematics, Vol 11, Iss 20, p 4304 (2023)
Mathematical modeling is a necessary step in understanding real world phenomena after experimental data are obtained and analyzed [...]
Externí odkaz:
https://doaj.org/article/713fcde5efeb4007a0cd79bcc52a5d30
Autor:
Maksim V. Kornilov, Ilya V. Sysoev
Publikováno v:
Mathematics, Vol 11, Iss 5, p 1233 (2023)
While synchronization in the brain neural networks has been studied, the emergency of the main oscillation frequency and its evolution at different normal and pathological states remains poorly investigated. We propose a new concept of the formation
Externí odkaz:
https://doaj.org/article/ac07de7acd0c4d82b2f17670f3083bcb
Publikováno v:
Mathematics, Vol 9, Iss 18, p 2200 (2021)
An approach to solve the inverse problem of the reconstruction of the network of time-delay oscillators from their time series is proposed and studied in the case of the nonstationary connectivity matrix. Adaptive couplings have not been considered y
Externí odkaz:
https://doaj.org/article/e11ce2aa5e7c4476b56282127640097d
Autor:
Ilya V. Sysoev, Martin F.J. Perescis, Lyudmila V. Vinogradova, Marina V. Sysoeva, Clementina M. van Rijn
Publikováno v:
Russian Open Medical Journal, Vol 7, Iss 4, p e0404 (2018)
Subject and Purpose — Temporal lobe epilepsy is increasingly recognized to involve widespread network alterations. In this study the temporal dynamics of directional interactions between the frontal cortex, hippocampus, thalamus and midbrain during
Externí odkaz:
https://doaj.org/article/48d96ba562ff43879c5800aa51edf12f
Publikováno v:
Cybernetics and Physics. :121-130
The spike-wave discharges in epileptic brain can be maintained by one or more sequential restarts, which should have mechanisms similar to those of discharge initiation. To examine this hypothesis an original algorithm for automatically determining r
Autor:
Valery V. Matrosov, Mikhail A. Mishchenko, Denis I. Bolshakov, Alexander S. Vasin, Ilya V. Sysoev
Publikováno v:
IEEE Transactions on Circuits and Systems II: Express Briefs. 69:854-858
Phase-locked loops (PLLs) are now widely used in communication systems and have been a classic system for more than 60 years. Well-known mathematical models of such systems are constructed in a number of approximations, so questions about how they de
Autor:
Marina V. Sysoeva, Galina D. Kuznetsova, Ilya V. Sysoev, Richard T. Ngomba, Lyudmila V. Vinogradova, Anastasia A. Grishchenko, Clementina M. van Rijn, Gilles van Luijtelaar
Publikováno v:
Epilepsy Research, 192
Item does not contain fulltext The role of the hippocampus (Hp) in absence epileptic networks and the effect of endocannabinoid system on this network remain enigmatic. Here, using adapted nonlinear Granger causality, we compared the differences in n
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ce81f9e4576938b2537cffc40aada1a5
https://doi.org/10.1016/j.eplepsyres.2023.107135
https://doi.org/10.1016/j.eplepsyres.2023.107135
Publikováno v:
Journal of Biological Systems, 31, 673-690
Journal of Biological Systems, 31, 2, pp. 673-690
Journal of Biological Systems, 31, 2, pp. 673-690
Connectivity analysis using modern approaches like Granger causality, partial directed coherence and transfer entropy always demands additional statistical evaluation of the obtained measures for significance. Although for very simple linear autoregr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::df16a86d7dd3499ac8d807605e63c969
http://hdl.handle.net/2066/293101
http://hdl.handle.net/2066/293101
Publikováno v:
Известия высших учебных заведений: Прикладная нелинейная динамика, Vol 29, Iss 6, Pp 927-942 (2021)
This work aims to show that long transient processes in mesascale models of thalamocortical brain network can appear in very general case, in particular for different number of elements in the ensemble (different level of detalization) and different