Dynamic causal modeling
By André C. Marreiros, Klaas E. Stephan, Karl J. Friston. Scholarpedia, 2010
716 citations recorded by the source corpus.
Neural activity dynamics considering the effects of experimental conditions Mapping from neural activity to BOLD signal (nonlinear)
Subfields: Artificial Intelligence
View Paper: https://www.semanticscholar.org/paper/3e1a632f30294540a82771569db6c713c745caef
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Karl J. Friston
- Vladimir Litvak
- Govindan Rangarajan
- M. Dhamala
- Kathleen M. Gates
- Jakub Limanowski
- Mingzhou Ding
- Anil K. Seth
Citations in the corpus
- Analyzing information flow in brain networks with nonparametric Granger causality (2008, methodology): “Granger causality, structural equation modeling (SEM) (McIntosh and Gonzalez-Lima, 1994), and the recently proposed dynamic causal modeling (DCM) (Friston et al., 2003; Lee et al., 2006) are the main statistical methods for effective connectivity analysis.”