Publikationen von SL Master
Alle Typen
Zeitschriftenartikel (3)
1.
Zeitschriftenartikel
Wagers for work: Decomposing the costs of cognitive effort. PLOS Computational Biology 20 (4), e1012060 (2024)
2.
Zeitschriftenartikel
Resting-state brain oscillations predict cognitive function in psychiatric disorders: A transdiagnostic machine learning approach. NeuroImage: Clinical 30, 102617, S. 1 - 9 (2021)
3.
Zeitschriftenartikel
Disentangling the systems contributing to changes in learning during adolescence. Developmental Cognitive Neuroscience 41, 100732, S. 1 - 13 (2020)
Konferenzbeitrag (2)
4.
Konferenzbeitrag
Learning under uncertainty changes during adolescence. In: 42nd Annual Meeting of the Cognitive Science Society (CogSci 2020): 5Developing a Mind: Learning in Humans, Animals, and Machines, S. 716 - 722 (Hg. Denison, S.; Mack, M.; Xu, Y.; Armstrong, B.). 42nd Annual Virtual Meeting of the Cognitive Science Society (CogSci 2020), Toronto, Canada, 29. Juli 2020 - 01. August 2020. Curran, Red Hook, NY, USA (2020)
5.
Konferenzbeitrag
Modeling the development of decision making in volatile environments using strategies, reinforcement learning, and Bayesian inference. In: Conference on Cognitive Computational Neuroscience (CCN 2019), PS-1A.68, S. 48 - 51. Conference on Cognitive Computational Neuroscience (CCN 2019), Berlin, Germany, 13. September 2019 - 16. September 2019. (2019)
Forschungspapier (2)
6.
Forschungspapier
The Unique Advantage of Adolescents in Probabilistic Reversal: Reinforcement Learning and Bayesian Inference Provide Adequate and Complementary Models. (eingereicht)
7.
Forschungspapier
Understanding the Unique Advantage of Adolescents in Stochastic, Volatile Environments: Combining Reinforcement Learning and Bayesian Inference. (eingereicht)