Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Elsa Siggiridou"'
Publikováno v:
Entropy, Vol 24, Iss 11, p 1505 (2022)
A causality analysis aims at estimating the interactions of the observed variables and subsequently the connectivity structure of the observed dynamical system or stochastic process. The partial mutual information from mixed embedding (PMIME) is foun
Externí odkaz:
https://doaj.org/article/fc0fd00aba7a4a019332a9b899580dde
Publikováno v:
Sensors, Vol 14, Iss 7, Pp 12585-12597 (2014)
The occurrence of epileptiform discharges (ED) in electroencephalographic (EEG) recordings of patients with epilepsy signifies a change in brain dynamics and particularly brain connectivity. Transcranial magnetic stimulation (TMS) has been recently a
Externí odkaz:
https://doaj.org/article/3e1c96630cd342fd8b557243dbfd988a
Publikováno v:
Entropy, Vol 21, Iss 11, p 1080 (2019)
Granger causality and variants of this concept allow the study of complex dynamical systems as networks constructed from multivariate time series. In this work, a large number of Granger causality measures used to form causality networks from multiva
Externí odkaz:
https://doaj.org/article/e031eb21699140329d29deccd998c4e2
Autor:
Elsa Siggiridou, Dimitris Kugiumtzis
Publikováno v:
IEEE Transactions on Signal Processing. 69:5638-5650
The causality analysis of multivariate time series and formation of complex networks relies on the estimation of the direct cause-effect from one observed variable to another accounting for the presence of other observed variables. Such effects are q
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5498b9101a566ba73c5600c533598fcb
https://doi.org/10.1109/tsp.2021.3114997
https://doi.org/10.1109/tsp.2021.3114997
The concept of Granger causality is increasingly being applied for the characterization of directional interactions in different applications. A multivariate framework for estimating Granger causality is essential in order to account for all the avai
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ab6d5f1f0e0424af4828220744540e5e
http://arxiv.org/abs/2011.01379
http://arxiv.org/abs/2011.01379
Transfer entropy (TE) captures the directed relationships between two variables. Partial transfer entropy (PTE) accounts for the presence of all confounding variables of a multivariate system and infers only about direct causality. However, the compu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::90372f26a510304a3bbc1b4a4557a12b
Autor:
Elsa Siggiridou, Dimitris Kugiumtzis
Publikováno v:
IEEE Transactions on Signal Processing. 64:1759-1773
Granger causality has been used for the investigation of the inter-dependence structure of the underlying systems of multi-variate time series. In particular, the direct causal effects are commonly estimated by the conditional Granger causality index
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0b537f0f78e4fedca258f46691ac7efe
https://doi.org/10.1109/tsp.2015.2500893
https://doi.org/10.1109/tsp.2015.2500893
Publikováno v:
Journal of neuroscience methods. 289
Background The mainstream in the estimation of effective brain connectivity relies on Granger causality measures in the frequency domain. If the measure is meant to capture direct causal effects accounting for the presence of other observed variables
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::724a3027b798e8077624e2e551448d71
https://pubmed.ncbi.nlm.nih.gov/28687522
https://pubmed.ncbi.nlm.nih.gov/28687522
Autor:
Christos Koutlis, Elsa Siggiridou, Vasilios K. Kimiskidis, Dimitris Kugiumtzis, Alkiviadis Tsimpiris
Publikováno v:
EMBC
Granger causality and variants of this concept allow the study of complex dynamical systems as networks constructed from multivariate time series. In this work, a large number of Granger causality measures used to form causality networks from multiva
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::42de3fa3a081a0d2006ccef61b6f3314
https://pubmed.ncbi.nlm.nih.gov/26737181
https://pubmed.ncbi.nlm.nih.gov/26737181
Epilepsy is a chronic disorder of the brain that affects 1% of world population. The occurrence of epileptiform discharges (ED) in electroencephalographic (EEG) recordings of patients with epilepsy signifies a change in brain dynamics and particularl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::120f5188cc71110028cb77c268f4510d
https://doi.org/10.14293/p2199-8442.1.sop-life.pvii1o.v1
https://doi.org/10.14293/p2199-8442.1.sop-life.pvii1o.v1