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Computational Phenotyping: Using Models to Understand Individual Differences in Personality, Development, and Mental Illness.
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- Personality Neuroscience, 2018, v. 1, p. 1, doi. 10.1017/pen.2018.14
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- Article
Visual motion perception as online hierarchical inference.
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- Nature Communications, 2022, v. 13, n. 1, p. 1, doi. 10.1038/s41467-022-34805-5
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- Article
Time representation in reinforcement learning models of the basal ganglia.
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- Frontiers in Computational Neuroscience, 2014, p. 1, doi. 10.3389/fncom.2013.00194
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Human memory reconsolidation can be explained using the temporal context model.
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- Psychonomic Bulletin & Review, 2011, v. 18, n. 3, p. 455, doi. 10.3758/s13423-011-0086-9
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Undermatching Is a Consequence of Policy Compression.
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- Journal of Neuroscience, 2023, v. 43, n. 3, p. 447, doi. 10.1523/JNEUROSCI.1003-22.2022
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- Article
The Reward-Complexity Trade-off in Schizophrenia.
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- Computational Psychiatry, 2021, v. 5, n. 1, p. 38, doi. 10.5334/cpsy.71
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Reconsidering the evidence for learning in single cells.
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- eLife, 2021, p. 1, doi. 10.7554/eLife.61907
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Dopamine neuron ensembles signal the content of sensory prediction errors.
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- eLife, 2019, p. 1, doi. 10.7554/eLife.49315
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The computational nature of memory modification.
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- eLife, 2017, p. 1, doi. 10.7554/eLife.23763
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- Article
What have we learned about artificial intelligence from studying the brain?
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- Biological Cybernetics, 2024, v. 118, n. 1/2, p. 1, doi. 10.1007/s00422-024-00983-2
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Causal implicatures from correlational statements.
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- PLoS ONE, 2023, v. 17, n. 5, p. 1, doi. 10.1371/journal.pone.0286067
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How do we reinforce climate action?
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- Sustainability Science, 2024, v. 19, n. 4, p. 1503, doi. 10.1007/s11625-024-01486-6
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- Article
Gradual extinction prevents the return of fear: implications for the discovery of state.
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- Frontiers in Behavioral Neuroscience, 2013, v. 7, p. 1, doi. 10.3389/fnbeh.2013.00164
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- Article
The rational use of causal inference to guide reinforcement learning strengthens with age.
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- NPJ Science of Learning, 2020, v. 5, n. 1, p. N.PAG, doi. 10.1038/s41539-020-00075-3
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- Article
Reconciling shared versus context-specific information in a neural network model of latent causes.
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- Scientific Reports, 2024, v. 14, n. 1, p. 1, doi. 10.1038/s41598-024-64272-5
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- Article
Human Reinforcement Learning Subdivides Structured Action Spaces by Learning Effector-Specific Values.
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- Journal of Neuroscience, 2009, v. 29, n. 43, p. 13524, doi. 10.1523/JNEUROSCI.2469-09.2009
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On the blessing of abstraction.
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- Quarterly Journal of Experimental Psychology, 2017, v. 70, n. 3, p. 361, doi. 10.1080/17470218.2016.1159706
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Mental control of uncertainty.
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- Cognitive, Affective & Behavioral Neuroscience, 2023, v. 23, n. 3, p. 465, doi. 10.3758/s13415-022-01034-8
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Pure correlates of exploration and exploitation in the human brain.
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- Cognitive, Affective & Behavioral Neuroscience, 2018, v. 18, n. 1, p. 117, doi. 10.3758/s13415-017-0556-2
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Pupil Size Encodes Uncertainty during Exploration.
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- Journal of Cognitive Neuroscience, 2023, v. 35, n. 9, p. 1508, doi. 10.1162/jocn_a_02025
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- Article
Pavlovian Control of Escape and Avoidance.
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- Journal of Cognitive Neuroscience, 2018, v. 30, n. 10, p. 1379, doi. 10.1162/jocn_a_01224
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Planning Complexity Registers as a Cost in Metacontrol.
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- Journal of Cognitive Neuroscience, 2018, v. 30, n. 10, p. 1391, doi. 10.1162/jocn_a_01263
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Imaginative Reinforcement Learning: Computational Principles and Neural Mechanisms.
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- Journal of Cognitive Neuroscience, 2017, v. 29, n. 12, p. 2103, doi. 10.1162/jocn_a_01170
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Neural and Psychological Maturation of Decision-making in Adolescence and Young Adulthood.
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- Journal of Cognitive Neuroscience, 2013, v. 25, n. 11, p. 1807, doi. 10.1162/jocn_a_00447
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Confidence and central tendency in perceptual judgment.
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- Attention, Perception & Psychophysics, 2021, v. 83, n. 7, p. 3024, doi. 10.3758/s13414-021-02300-6
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Children's understanding of habitual behaviour.
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- Developmental Science, 2020, v. 23, n. 5, p. 1, doi. 10.1111/desc.12951
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Structure learning principles of stereotype change.
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- Psychonomic Bulletin & Review, 2023, v. 30, n. 4, p. 1273, doi. 10.3758/s13423-023-02252-y
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How to never be wrong.
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- Psychonomic Bulletin & Review, 2019, v. 26, n. 1, p. 13, doi. 10.3758/s13423-018-1488-8
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A Unifying Probabilistic View of Associative Learning.
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- PLoS Computational Biology, 2015, v. 11, n. 10, p. 1, doi. 10.1371/journal.pcbi.1004567
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Statistical Computations Underlying the Dynamics of Memory Updating.
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- PLoS Computational Biology, 2014, v. 10, n. 11, p. 1, doi. 10.1371/journal.pcbi.1003939
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- Article
Rational inattention and tonic dopamine.
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- PLoS Computational Biology, 2021, v. 17, n. 3, p. 1, doi. 10.1371/journal.pcbi.1008659
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Neural signatures of arbitration between Pavlovian and instrumental action selection.
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- PLoS Computational Biology, 2021, v. 17, n. 2, p. 1, doi. 10.1371/journal.pcbi.1008553
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Rate-distortion theory of neural coding and its implications for working memory.
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- eLife, 2023, p. 1, doi. 10.7554/eLife.79450
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Human visual motion perception shows hallmarks of Bayesian structural inference.
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- Scientific Reports, 2021, v. 11, n. 1, p. 1, doi. 10.1038/s41598-021-82175-7
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Plans, Habits, and Theory of Mind.
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- PLoS ONE, 2016, v. 11, n. 9, p. 1, doi. 10.1371/journal.pone.0162246
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- Article
Compositional Sequence Generation in the Entorhinal–Hippocampal System.
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- Entropy, 2022, v. 24, n. 12, p. 1791, doi. 10.3390/e24121791
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Human decision making balances reward maximization and policy compression.
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- PLoS Computational Biology, 2024, v. 20, n. 4, p. 1, doi. 10.1371/journal.pcbi.1012057
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- Article
Emergence of belief-like representations through reinforcement learning.
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- PLoS Computational Biology, 2023, v. 19, n. 9, p. 1, doi. 10.1371/journal.pcbi.1011067
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- Article
When Does Model-Based Control Pay Off?
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- PLoS Computational Biology, 2016, v. 12, n. 8, p. 1, doi. 10.1371/journal.pcbi.1005090
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A Hierarchical Bayesian Model of Adaptive Teaching.
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- Cognitive Science, 2024, v. 48, n. 7, p. 1, doi. 10.1111/cogs.13477
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Introduction to Progress and Puzzles of Cognitive Science: Introduction to a Wiley Virtual Issue.
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- Cognitive Science, 2024, v. 48, n. 7, p. 1, doi. 10.1111/cogs.13480
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What Is the Model in Model‐Based Planning?
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- Cognitive Science, 2021, v. 45, n. 1, p. 1, doi. 10.1111/cogs.12928
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Analyzing Machine-Learned Representations: A Natural Language Case Study.
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- Cognitive Science, 2020, v. 44, n. 12, p. 1, doi. 10.1111/cogs.12925
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Learning the Structure of Social Influence.
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- Cognitive Science, 2017, v. 41, p. 545, doi. 10.1111/cogs.12480
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Belief state representation in the dopamine system.
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- Nature Communications, 2018, v. 9, n. 1, p. 1, doi. 10.1038/s41467-018-04397-0
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Toward a universal decoder of linguistic meaning from brain activation.
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- Nature Communications, 2018, v. 9, n. 1, p. 1, doi. 10.1038/s41467-018-03068-4
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- Article
Causal Inference Gates Corticostriatal Learning.
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- Journal of Neuroscience, 2021, v. 41, n. 32, p. 6892, doi. 10.1523/JNEUROSCI.2796-20.2021
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The Successor Representation: Its Computational Logic and Neural Substrates.
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- Journal of Neuroscience, 2018, v. 38, n. 33, p. 7173, doi. 10.1523/JNEUROSCI.0151-18.2018
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Neural Computations Underlying Causal Structure Learning.
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- Journal of Neuroscience, 2018, v. 38, n. 32, p. 7143, doi. 10.1523/JNEUROSCI.3336-17.2018
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Do people know how suicidal they will be? Understanding suicidal prospection.
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- Suicide & Life-Threatening Behavior, 2024, v. 54, n. 4, p. 750, doi. 10.1111/sltb.13087
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