Uncertainty-driven regulation of learning and exploration in adolescents: A computational account
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DOI: 10.1371/journal.pcbi.1008276
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References listed on IDEAS
- Matthew R. Nassar & Rasmus Bruckner & Joshua I. Gold & Shu-Chen Li & Hauke R. Heekeren & Ben Eppinger, 2016. "Age differences in learning emerge from an insufficient representation of uncertainty in older adults," Nature Communications, Nature, vol. 7(1), pages 1-13, September.
- Stefano Palminteri & Emma J Kilford & Giorgio Coricelli & Sarah-Jayne Blakemore, 2016. "The Computational Development of Reinforcement Learning during Adolescence," PLOS Computational Biology, Public Library of Science, vol. 12(6), pages 1-25, June.
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- Ruth Pauli & Inti A. Brazil & Gregor Kohls & Miriam C. Klein-Flügge & Jack C. Rogers & Dimitris Dikeos & Roberta Dochnal & Graeme Fairchild & Aranzazu Fernández-Rivas & Beate Herpertz-Dahlmann & Amaia, 2023. "Action initiation and punishment learning differ from childhood to adolescence while reward learning remains stable," Nature Communications, Nature, vol. 14(1), pages 1-15, December.
- Anna P. Giron & Simon Ciranka & Eric Schulz & Wouter Bos & Azzurra Ruggeri & Björn Meder & Charley M. Wu, 2023. "Developmental changes in exploration resemble stochastic optimization," Nature Human Behaviour, Nature, vol. 7(11), pages 1955-1967, November.
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