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001049994 1001_ $$0P:(DE-Juel1)167150$$aYeldesbay, Azamat$$b0
001049994 245__ $$aExtended Dynamical Causal Modelling for Phase Coupling (eDCM PC)
001049994 260__ $$aLondon$$bUbiquity Press$$c2025
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001049994 500__ $$aThis work was supported by the DFG Project ID 431549029 SFB1451
001049994 520__ $$aWe present a software tool: extended Dynamic Causal Modelling for Phase Coupling(eDCM PC). This framework is implemented in MATLAB as an extension of the DynamicCausal Models for phase coupling method. eDCM PC is able to estimate effectiveconnectivity between oscillating systems using the phase information obtained fromexperimental signals, such as oscillatory activities of neuronal populations in distantbrain regions. With the help of a transformation function, eDCM PC can measureobservable independent coupling functions within and between different frequencybands. This software is available on GitLab under the GNU General Public License(version 3 or later)
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001049994 536__ $$0G:(GEPRIS)431549029$$aDFG project G:(GEPRIS)431549029 - SFB 1451: Schlüsselmechanismen normaler und krankheitsbedingt gestörter motorischer Kontrolle (431549029)$$c431549029$$x1
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001049994 7001_ $$0P:(DE-Juel1)162297$$aDaun, Silvia$$b1$$ufzj
001049994 773__ $$0PERI:(DE-600)2740435-3$$a10.5334/jors.412$$gVol. 13, p. 33$$p33$$tJournal of Open Research Software$$v13$$x2049-9647$$y2025
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