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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Detalles Bibliográficos
Autores principales: Aranyi, Sándor Csaba, Nagy, Marianna, Opposits, Gábor, Berényi, Ervin, Emri, Miklós
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8222613/
https://www.ncbi.nlm.nih.gov/pubmed/34177506
http://dx.doi.org/10.3389/fninf.2021.656486

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8222613/
https://www.ncbi.nlm.nih.gov/pubmed/34177506
http://dx.doi.org/10.3389/fninf.2021.656486

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