Hauptseite > Publikationsdatenbank > Extended Dynamical Causal Modelling for Phase Coupling (eDCM PC) > print

001     1049994
005     20251219202234.0
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100 1 _ |a Yeldesbay, Azamat
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245 _ _ |a Extended Dynamical Causal Modelling for Phase Coupling (eDCM PC)
260 _ _ |a London
|c 2025
|b Ubiquity Press
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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)
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536 _ _ |a DFG project G:(GEPRIS)431549029 - SFB 1451: Schlüsselmechanismen normaler und krankheitsbedingt gestörter motorischer Kontrolle (431549029)
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700 1 _ |a Daun, Silvia
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773 _ _ |a 10.5334/jors.412
|g Vol. 13, p. 33
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|y 2025
|x 2049-9647
856 4 _ |u https://juser.fz-juelich.de/record/1049994/files/PDF.pdf
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