Simulation-based inference for efficient identification of generative models in computational connectomics

Recent advances in connectomics research enable the acquisition of increasing amounts of data about the connectivity patterns of neurons. How can we use this wealth of data to efficiently derive and test hypotheses about the principles underlying these patterns? A common approach is to simulate neur...

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Detalles Bibliográficos
Autores principales: Boelts, Jan, Harth, Philipp, Gao, Richard, Udvary, Daniel, Yáñez, Felipe, Baum, Daniel, Hege, Hans-Christian, Oberlaender, Marcel, Macke, Jakob H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10550169/
https://www.ncbi.nlm.nih.gov/pubmed/37738260
http://dx.doi.org/10.1371/journal.pcbi.1011406

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10550169/
https://www.ncbi.nlm.nih.gov/pubmed/37738260
http://dx.doi.org/10.1371/journal.pcbi.1011406

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