TY  - JOUR
AU  - Yeldesbay, Azamat
AU  - Daun, Silvia
TI  - Extended Dynamical Causal Modelling for Phase Coupling (eDCM PC)
JO  - Journal of Open Research Software
VL  - 13
SN  - 2049-9647
CY  - London
PB  - Ubiquity Press
M1  - FZJ-2025-05708
SP  - 33
PY  - 2025
N1  - This work was supported by the DFG Project ID 431549029 SFB1451
AB  - 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)
LB  - PUB:(DE-HGF)16
DO  - DOI:10.5334/jors.412
UR  - https://juser.fz-juelich.de/record/1049994
ER  -