Zobrazeno 1 - 10
of 79
pro vyhledávání: '"Ralph G. Andrzejak"'
Publikováno v:
Frontiers in Neurology, Vol 11 (2020)
The application of non-linear signal analysis techniques to biomedical data is key to improve our knowledge about complex physiological and pathological processes. In particular, the use of non-linear techniques to study electroencephalographic (EEG)
Externí odkaz:
https://doaj.org/article/1f20b31d09cf44269fe49ee7ad911edb
Publikováno v:
Frontiers in Applied Mathematics and Statistics, Vol 5 (2019)
Externí odkaz:
https://doaj.org/article/f5435cf25dc5414a83676b59150ecc70
Autor:
Ralph G. Andrzejak, Anaïs Espinoso
Publikováno v:
Chaos: An Interdisciplinary Journal of Nonlinear Science. 33
Different across-layer synchronization types of chimera states in multilayer networks have been discovered recently. We investigate possible relations between them, for example, if the onset of some synchronization type implies the onset of some othe
Autor:
Ralph G. Andrzejak, Hitten P. Zaveri, Andreas Schulze‐Bonhage, Marc G. Leguia, William C. Stacey, Mark P. Richardson, Levin Kuhlmann, Klaus Lehnertz
Data de publicació electrònica: 18 de febrer de 2023 A lot of mileage has been made recently on the long and winding road toward seizure forecasting. Here we briefly review some selected milestones passed along the way, which were discussed at the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d5aeef74e8c483b3f97b791ed9c2003d
http://hdl.handle.net/10230/57419
http://hdl.handle.net/10230/57419
Publikováno v:
Frontiers in Network Physiology. 2
Despite impressive scientific advances in understanding the structure and function of the human brain, big challenges remain. A deep understanding of healthy and aberrant brain activity at a wide range of temporal and spatial scales is needed. Here w
Autor:
Emily A. Mirro, Vikram R. Rao, Thomas K. Tcheng, Marc G. Leguia, Ralph G. Andrzejak, Joline M. Fan, Christian Rummel, Maxime O. Baud
Publikováno v:
Epilepsy Currents
IMPORTANCE Focal epilepsy is characterized by the cyclical recurrence of seizures, but, to our knowledge, the prevalence and patterns of seizure cycles are unknown. OBJECTIVE To establish the prevalence, strength, and temporal patterns of seizure cyc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8e98ae21a4040f46f83ea082e0fa8c98
http://hdl.handle.net/10230/46487
http://hdl.handle.net/10230/46487
Autor:
Anna Zakharova, Iryna Omelchenko, Giulia Ruzzene, Eckehard Schöll, Jakub Sawicki, Ralph G. Andrzejak
Networks of coupled nonlinear oscillators allow for the formation of nontrivial partially synchronized spatiotemporal patterns, such as chimera states, in which there are coexisting coherent (synchronized) and incoherent (desynchronized) domains. The
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::97ca52fd7d4ecdbfbcefa6b1dc6e82a4
https://depositonce.tu-berlin.de/handle/11303/12174
https://depositonce.tu-berlin.de/handle/11303/12174
Publikováno v:
Frontiers in Neurology
Frontiers in Neurology, Vol 11 (2020)
Frontiers in Neurology, Vol 11 (2020)
The application of non-linear signal analysis techniques to biomedical data is key to improve our knowledge about complex physiological and pathological processes. In particular, the use of non-linear techniques to study electroencephalographic (EEG)
Publikováno v:
Frontiers Research Topics ISBN: 9782889633111
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5b597380730b38588bf278455831ac25
https://doi.org/10.3389/978-2-88963-311-1
https://doi.org/10.3389/978-2-88963-311-1
Publikováno v:
Frontiers in Applied Mathematics and Statistics, Vol 5 (2019)