Zobrazeno 1 - 10
of 37
pro vyhledávání: '"Marina V. Sysoeva"'
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::031022f976b4c53c351d0699679a535f
https://doi.org/10.35470/2226-4116-2022-11-3-121-130
https://doi.org/10.35470/2226-4116-2022-11-3-121-130
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:
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::75f5952ab81be69fc4a1ceb7ecbbc1e3
https://andjournal.sgu.ru/sites/andjournal.sgu.ru/files/text-pdf/2021/11/egorov_et_al_927-942.pdf
https://andjournal.sgu.ru/sites/andjournal.sgu.ru/files/text-pdf/2021/11/egorov_et_al_927-942.pdf
Publikováno v:
2022 6th Scientific School Dynamics of Complex Networks and their Applications (DCNA).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bc69461149d217a9d372ed9edae54b2f
https://doi.org/10.1109/dcna56428.2022.9923120
https://doi.org/10.1109/dcna56428.2022.9923120
Publikováno v:
2022 6th Scientific School Dynamics of Complex Networks and their Applications (DCNA).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6fce3bdc94b348340106644c606bcfb7
https://doi.org/10.1109/dcna56428.2022.9923221
https://doi.org/10.1109/dcna56428.2022.9923221
Publikováno v:
Technical Physics. 66:505-514
A radio-technical scheme of a hierarchical thalamocortical brain network with an external input is developed. Various regimes of induced and self-oscillations (including hard-excitation regime) are revealed in the study of the proposed model. Paramet
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::498480825739b320d37342acbaf5c6b2
https://doi.org/10.1134/s1063784221030063
https://doi.org/10.1134/s1063784221030063
Autor:
C.M. van Rijn, Boris P. Bezruchko, Marina V. Sysoeva, Ilya V. Sysoev, A.A. Grishchenko, T.M. Medvedeva
Publikováno v:
Cybernetics and Physics, 9, 86-97
Cybernetics and Physics, 9, 2, pp. 86-97
Cybernetics and Physics, 9, 2, pp. 86-97
Contains fulltext : 227417.pdf (Publisher’s version ) (Open Access) In our study, we compare three popular approaches to directed coupling analysis, in particular transfer entropy and two types of Granger causality, applied to real data from geneti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::43a47280ccb79fdecf461f99718d042c
https://doi.org/10.35470/2226-4116-2020-9-2-86-97
https://doi.org/10.35470/2226-4116-2020-9-2-86-97
Autor:
Annika Lüttjohann, Marina V. Sysoeva, E.L.J.M. van Luijtelaar, T.M. Medvedeva, Ilya V. Sysoev
Publikováno v:
AIMS Biophysics, Vol 7, Iss 2, Pp 65-75 (2020)
AIMS Biophysics, 7, 2, pp. 65-75
AIMS Biophysics, 7, 65-75
AIMS Biophysics, 7, 2, pp. 65-75
AIMS Biophysics, 7, 65-75
Contains fulltext : 217634.pdf (Publisher’s version ) (Open Access) Here we consider the possibility to characterize the signal complexity of electroencephalo-grams using calculation of largest Lyapunov exponent explicitly from time series. This wo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0e4d419de2b95a4007975ffe91ec5eb5
https://www.aimspress.com/article/10.3934/biophy.2020006/fulltext.html
https://www.aimspress.com/article/10.3934/biophy.2020006/fulltext.html