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

Pereira, Ines; Frässle, Stefan; Heinzle, Jakob; Schöbi, Dario; Do, Cao Tri; Gruber, Moritz; Stephan, Klaas Enno

doi:10.1016/j.neuroimage.2021.118662

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

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Stephan, Klaas Enno
Stephan – Translational Neuromodelling, External Scientific Members, Max Planck Institute for Metabolism Research, Max Planck Society;

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Pereira, I., Frässle, S., Heinzle, J., Schöbi, D., Do, C. T., Gruber, M., et al. (2021). Conductance-based dynamic causal modeling: A mathematical review of its application to cross-power spectral densities. NeuroImage, 245: 118662. doi:10.1016/j.neuroimage.2021.118662.

Cite as: https://hdl.handle.net/21.11116/0000-0009-851D-1

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