Conductance-based dynamic causal modeling: A mathematical review of its application to cross-power spectral densities

Inês Pereira, Stefan Frässle, Jakob Heinzle, Dario Schöbi, Cao-Tri Do, Moritz Gruber, Klaas E. Stephan. Conductance-based dynamic causal modeling: A mathematical review of its application to cross-power spectral densities. NeuroImage, 245:118662, 2021. [doi]

@article{PereiraFHSDGS21,
  title = {Conductance-based dynamic causal modeling: A mathematical review of its application to cross-power spectral densities},
  author = {Inês Pereira and Stefan Frässle and Jakob Heinzle and Dario Schöbi and Cao-Tri Do and Moritz Gruber and Klaas E. Stephan},
  year = {2021},
  doi = {10.1016/j.neuroimage.2021.118662},
  url = {https://doi.org/10.1016/j.neuroimage.2021.118662},
  researchr = {https://researchr.org/publication/PereiraFHSDGS21},
  cites = {0},
  citedby = {0},
  journal = {NeuroImage},
  volume = {245},
  pages = {118662},
}