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Navigating a varying reward environment in childhood and adolescence

Abstract Optimal reward learning requires individuals to adjust their learning rates – the extent to which new information replaces old. Learning rates should be higher in volatile environments, where new information is more salient, and lower in stable environments, where the longer-term history of...

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Principais autores: Louise Neil, Vincent Valton, Essi Viding, Diana Armbruster-Genc, Vivien Vuong, Katy Packer, Molly Sharp, Jonathan P. Roiser, Eamon McCrory
Format: Artigo
Sprog:Inglês
Udgivet: Nature Portfolio 2025-07-01
Serier:Scientific Reports
Fag:
Computational modelling
Learning rates
Reinforcement learning
Child development
Belief updating
Online adgang:https://doi.org/10.1038/s41598-025-05725-3
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