Publications of SL Master
All genres
Journal Article (3)
1.
Journal Article
20 (4), e1012060 (2024)
Wagers for work: Decomposing the costs of cognitive effort. PLOS Computational Biology 2.
Journal Article
30, 102617, pp. 1 - 9 (2021)
Resting-state brain oscillations predict cognitive function in psychiatric disorders: A transdiagnostic machine learning approach. NeuroImage: Clinical 3.
Journal Article
41, 100732, pp. 1 - 13 (2020)
Disentangling the systems contributing to changes in learning during adolescence. Developmental Cognitive Neuroscience Conference Paper (2)
4.
Conference Paper
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, pp. 716 - 722 (Eds. Denison, S.; Mack, M.; Xu, Y.; Armstrong, B.). 42nd Annual Virtual Meeting of the Cognitive Science Society (CogSci 2020), Toronto, Canada, July 29, 2020 - August 01, 2020. Curran, Red Hook, NY, USA (2020)
5.
Conference Paper
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, pp. 48 - 51. Conference on Cognitive Computational Neuroscience (CCN 2019), Berlin, Germany, September 13, 2019 - September 16, 2019. (2019)
Working Paper (2)
6.
Working Paper
The Unique Advantage of Adolescents in Probabilistic Reversal: Reinforcement Learning and Bayesian Inference Provide Adequate and Complementary Models. (submitted)
7.
Working Paper
Understanding the Unique Advantage of Adolescents in Stochastic, Volatile Environments: Combining Reinforcement Learning and Bayesian Inference. (submitted)