"Conductance-based dynamic causal modeling: A mathematical review of its ..."

Inês Pereira et al. (2021)

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DOI: 10.1016/J.NEUROIMAGE.2021.118662

access: open

type: Journal Article

metadata version: 2022-12-07

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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)

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