Characterizing Network Search Algorithms Developed for Dynamic Causal Modeling
Dynamic causal modeling (DCM) is a widely used tool to estimate the effective connectivity of specified models of a brain network. Finding the model explaining measured data is one of the most important outstanding problems in Bayesian modeling. Using heuristic model search algorithms enables us to...
Main Authors: | Sándor Csaba Aranyi, Marianna Nagy, Gábor Opposits, Ervin Berényi, Miklós Emri |
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Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2021-06-01
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Series: | Frontiers in Neuroinformatics |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fninf.2021.656486/full |
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