Home > Publications database > Extended Dynamical Causal Modelling for Phase Coupling (eDCM PC) > print

001     1049994
005     20251219202234.0
024 7 _ |a 10.5334/jors.412
|2 doi
024 7 _ |a 10.34734/FZJ-2025-05708
|2 datacite_doi
037 _ _ |a FZJ-2025-05708
082 _ _ |a 004
100 1 _ |a Yeldesbay, Azamat
|0 P:(DE-Juel1)167150
|b 0
245 _ _ |a Extended Dynamical Causal Modelling for Phase Coupling (eDCM PC)
260 _ _ |a London
|c 2025
|b Ubiquity Press
336 7 _ |a article
|2 DRIVER
336 7 _ |a Output Types/Journal article
|2 DataCite
336 7 _ |a Journal Article
|b journal
|m journal
|0 PUB:(DE-HGF)16
|s 1766154821_16742
|2 PUB:(DE-HGF)
336 7 _ |a ARTICLE
|2 BibTeX
336 7 _ |a JOURNAL_ARTICLE
|2 ORCID
336 7 _ |a Journal Article
|0 0
|2 EndNote
500 _ _ |a This work was supported by the DFG Project ID 431549029 SFB1451
520 _ _ |a We present a software tool: extended Dynamic Causal Modelling for Phase Coupling(eDCM PC). This framework is implemented in MATLAB as an extension of the DynamicCausal Models for phase coupling method. eDCM PC is able to estimate effectiveconnectivity between oscillating systems using the phase information obtained fromexperimental signals, such as oscillatory activities of neuronal populations in distantbrain regions. With the help of a transformation function, eDCM PC can measureobservable independent coupling functions within and between different frequencybands. This software is available on GitLab under the GNU General Public License(version 3 or later)
536 _ _ |a 5252 - Brain Dysfunction and Plasticity (POF4-525)
|0 G:(DE-HGF)POF4-5252
|c POF4-525
|f POF IV
|x 0
536 _ _ |a DFG project G:(GEPRIS)431549029 - SFB 1451: Schlüsselmechanismen normaler und krankheitsbedingt gestörter motorischer Kontrolle (431549029)
|0 G:(GEPRIS)431549029
|c 431549029
|x 1
588 _ _ |a Dataset connected to CrossRef, Journals: juser.fz-juelich.de
700 1 _ |a Daun, Silvia
|0 P:(DE-Juel1)162297
|b 1
|u fzj
773 _ _ |a 10.5334/jors.412
|g Vol. 13, p. 33
|0 PERI:(DE-600)2740435-3
|p 33
|t Journal of Open Research Software
|v 13
|y 2025
|x 2049-9647
856 4 _ |u https://juser.fz-juelich.de/record/1049994/files/PDF.pdf
|y OpenAccess
909 C O |o oai:juser.fz-juelich.de:1049994
|p openaire
|p open_access
|p VDB
|p driver
|p dnbdelivery
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 0
|6 P:(DE-Juel1)167150
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 1
|6 P:(DE-Juel1)162297
913 1 _ |a DE-HGF
|b Key Technologies
|l Natural, Artificial and Cognitive Information Processing
|1 G:(DE-HGF)POF4-520
|0 G:(DE-HGF)POF4-525
|3 G:(DE-HGF)POF4
|2 G:(DE-HGF)POF4-500
|4 G:(DE-HGF)POF
|v Decoding Brain Organization and Dysfunction
|9 G:(DE-HGF)POF4-5252
|x 0
914 1 _ |y 2025
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0200
|2 StatID
|b SCOPUS
|d 2024-12-13
915 _ _ |a Creative Commons Attribution CC BY 4.0
|0 LIC:(DE-HGF)CCBY4
|2 HGFVOC
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0501
|2 StatID
|b DOAJ Seal
|d 2023-10-02T14:24:22Z
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0500
|2 StatID
|b DOAJ
|d 2023-10-02T14:24:22Z
915 _ _ |a OpenAccess
|0 StatID:(DE-HGF)0510
|2 StatID
915 _ _ |a Peer Review
|0 StatID:(DE-HGF)0030
|2 StatID
|b DOAJ : Peer review
|d 2023-10-02T14:24:22Z
915 _ _ |a Article Processing Charges
|0 StatID:(DE-HGF)0561
|2 StatID
|d 2024-12-13
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0300
|2 StatID
|b Medline
|d 2024-12-13
915 _ _ |a Fees
|0 StatID:(DE-HGF)0700
|2 StatID
|d 2024-12-13
920 _ _ |l yes
920 1 _ |0 I:(DE-Juel1)INM-3-20090406
|k INM-3
|l Kognitive Neurowissenschaften
|x 0
980 _ _ |a journal
980 _ _ |a VDB
980 _ _ |a UNRESTRICTED
980 _ _ |a I:(DE-Juel1)INM-3-20090406
980 1 _ |a FullTexts

LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21