Causal inference during closed-loop navigation: parsing of self- and object-motion

A key computation in building adaptive internal models of the external world is to ascribe sensory signals to their likely cause(s), a process of Bayesian Causal Inference (CI). CI is well studied within the framework of two-alternative forced-choice tasks, but less well understood within the cadre...

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Detalles Bibliográficos
Autores principales: Noel, Jean-Paul, Bill, Johannes, Ding, Haoran, Vastola, John, DeAngelis, Gregory C., Angelaki, Dora E., Drugowitsch, Jan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9915492/
https://www.ncbi.nlm.nih.gov/pubmed/36778376
http://dx.doi.org/10.1101/2023.01.27.525974

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9915492/
https://www.ncbi.nlm.nih.gov/pubmed/36778376
http://dx.doi.org/10.1101/2023.01.27.525974

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