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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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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

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