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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...
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| 發表在: | Front Neuroinform |
|---|---|
| Main Authors: | , , , , |
| 格式: | Artigo |
| 語言: | Inglês |
| 出版: |
Frontiers Media S.A.
2021
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| 主題: | |
| 在線閱讀: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8222613/ https://ncbi.nlm.nih.gov/pubmed/34177506 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fninf.2021.656486 |
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