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Maria K Eckstein

Showing results (1-10 of 17) with videos related to

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Proceedings of the National Academy of Sciences of the United States of America|November 24, 2020
Computational evidence for hierarchically structured reinforcement learning in humansMaria K Eckstein, Anne G E Collins
Cogsci ... Annual Conference of the Cognitive Science Society. Cognitive Science Society (U.S.). Conference|December 29, 2021
How the Mind Creates Structure: Hierarchical Learning of Action SequencesMaria K Eckstein, Anne G E Collins
Cognition|February 4, 2019
How the inference of hierarchical rules unfolds over timeMaria K Eckstein, Ariel Starr, Silvia A Bunge
Current Opinion in Behavioral Sciences|January 5, 2022
What do Reinforcement Learning Models Measure? Interpreting Model Parameters in Cognition and NeuroscienceMaria K Eckstein, Linda Wilbrecht, Anne G E Collins
Nature Human Behaviour|February 5, 2026
Hybrid neural-cognitive models reveal how memory shapes human reward learningMaria K Eckstein, Christopher Summerfield, Nathaniel D Daw, et al.
Developmental Cognitive Neuroscience|December 3, 2016
Beyond eye gaze: What else can eyetracking reveal about cognition and cognitive development?Maria K Eckstein, Belén Guerra-Carrillo, Alison T Miller Singley, et al.
Developmental Cognitive Neuroscience|May 10, 2022
Reinforcement learning and Bayesian inference provide complementary models for the unique advantage of adolescents in stochastic reversalMaria K Eckstein, Sarah L Master, Ronald E Dahl, et al.
Developmental Cognitive Neuroscience|September 2, 2020
Corrigendum to "Disentangling the systems contributing to changes in learning during adolescence" [Dev. Cogn. Neurosci. 41, 2020, 100732]Sarah L Master, Maria K Eckstein, Neta Gotlieb, et al.
Developmental Cognitive Neuroscience|December 13, 2019
Distentangling the systems contributing to changes in learning during adolescenceSarah L Master, Maria K Eckstein, Neta Gotlieb, et al.
The Behavioral and Brain Sciences|July 7, 2022
Learning agents that acquire representations of social groupsJoel Z Leibo, Alexander Sasha Vezhnevets, Maria K Eckstein, et al.
Pageof 2

Showing results (1-10 of 17) with videos related to

Sort By:
Pageof 2
Proceedings of the National Academy of Sciences of the United States of America|November 24, 2020
Computational evidence for hierarchically structured reinforcement learning in humansMaria K Eckstein, Anne G E Collins
Cogsci ... Annual Conference of the Cognitive Science Society. Cognitive Science Society (U.S.). Conference|December 29, 2021
How the Mind Creates Structure: Hierarchical Learning of Action SequencesMaria K Eckstein, Anne G E Collins
Cognition|February 4, 2019
How the inference of hierarchical rules unfolds over timeMaria K Eckstein, Ariel Starr, Silvia A Bunge
Current Opinion in Behavioral Sciences|January 5, 2022
What do Reinforcement Learning Models Measure? Interpreting Model Parameters in Cognition and NeuroscienceMaria K Eckstein, Linda Wilbrecht, Anne G E Collins
Nature Human Behaviour|February 5, 2026
Hybrid neural-cognitive models reveal how memory shapes human reward learningMaria K Eckstein, Christopher Summerfield, Nathaniel D Daw, et al.
Developmental Cognitive Neuroscience|December 3, 2016
Beyond eye gaze: What else can eyetracking reveal about cognition and cognitive development?Maria K Eckstein, Belén Guerra-Carrillo, Alison T Miller Singley, et al.
Developmental Cognitive Neuroscience|May 10, 2022
Reinforcement learning and Bayesian inference provide complementary models for the unique advantage of adolescents in stochastic reversalMaria K Eckstein, Sarah L Master, Ronald E Dahl, et al.
Developmental Cognitive Neuroscience|September 2, 2020
Corrigendum to "Disentangling the systems contributing to changes in learning during adolescence" [Dev. Cogn. Neurosci. 41, 2020, 100732]Sarah L Master, Maria K Eckstein, Neta Gotlieb, et al.
Developmental Cognitive Neuroscience|December 13, 2019
Distentangling the systems contributing to changes in learning during adolescenceSarah L Master, Maria K Eckstein, Neta Gotlieb, et al.
The Behavioral and Brain Sciences|July 7, 2022
Learning agents that acquire representations of social groupsJoel Z Leibo, Alexander Sasha Vezhnevets, Maria K Eckstein, et al.
Pageof 2