Flexible and efficient simulation-based inference for models of decision-making

Inferring parameters of computational models that capture experimental data is a central task in cognitive neuroscience. Bayesian statistical inference methods usually require the ability to evaluate the likelihood of the model—however, for many models of interest in cognitive neuroscience, the asso...

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Detalles Bibliográficos
Autores principales: Boelts, Jan, Lueckmann, Jan-Matthis, Gao, Richard, Macke, Jakob H
Formato: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2022
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9374439/
https://www.ncbi.nlm.nih.gov/pubmed/35894305
http://dx.doi.org/10.7554/eLife.77220

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9374439/
https://www.ncbi.nlm.nih.gov/pubmed/35894305
http://dx.doi.org/10.7554/eLife.77220

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