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Comparison of two integration methods for dynamic causal modeling of electrophysiological data

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Academic year: 2021

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Fig. 2. Model and example dataset used for the second simulation. Left: The generative model was composed of 6 regions
Fig. 5b shows the posterior parameter estimates (mean, 90% credibility interval, and true parameter) for forward and backward modulations.
Fig. 5. Summary of results from Simulation 1. a) RFX Bayesian model comparison between the three models: F, B, and FB, for the 2 integration schemes, DDE_TA (two fi rst plots, in black) and DDE_RK (two next plots, in gray)
Fig. 6. Summary of results from Simulation 2. a) RFX Bayesian model comparison between the three models: F, B and F, for the 2 integration schemes, DDE_TA (two first plots, in black) and DDE_RK (two next plots, in gray)

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