Neural superstatistics for Bayesian estimation of dynamic cognitive models

Mathematical models of cognition are often memoryless and ignore potential fluctuations of their parameters. However, human cognition is inherently dynamic. Thus, we propose to augment mechanistic cognitive models with a temporal dimension and estimate the resulting dynamics from a superstatistics p...

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Detalles Bibliográficos
Autores principales: Schumacher, Lukas, Bürkner, Paul-Christian, Voss, Andreas, Köthe, Ullrich, Radev, Stefan T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10447473/
https://www.ncbi.nlm.nih.gov/pubmed/37612320
http://dx.doi.org/10.1038/s41598-023-40278-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10447473/
https://www.ncbi.nlm.nih.gov/pubmed/37612320
http://dx.doi.org/10.1038/s41598-023-40278-3

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