Highly sampled reinforcement learning revealsdistinct patterns in binge eating 
disorder and obesity

Kühnel, A; Hoang, K; McFadyen, J; Dolan, R; Dayan, P; Hauser, TU

Item

ITEM ACTIONSEXPORT

Add to Basket

Local TagsRelease HistoryDetailsSummary

Released

Poster

Highly sampled reinforcement learning revealsdistinct patterns in binge eating disorder and obesity

MPS-Authors

/persons/resource/persons217460

Dayan, P
Department of Computational Neuroscience, Max Planck Institute for Biological Cybernetics, Max Planck Society;

External Resource

No external resources are shared

Fulltext (restricted access)

There are currently no full texts shared for your IP range.

Fulltext (public)

There are no public fulltexts stored in PuRe

Supplementary Material (public)

There is no public supplementary material available

Citation

Kühnel, A., Hoang, K., McFadyen, J., Dolan, R., Dayan, P., & Hauser, T. (2023). Highly sampled reinforcement learning revealsdistinct patterns in binge eating disorder and obesity. Poster presented at Computational Psychiatry Conference 2023, Dublin, Ireland.

Cite as: https://hdl.handle.net/21.11116/0000-000D-79BD-7

Abstract

There is no abstract available