Explicit knowledge of task structure is the primary determinant of human model-based action
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P. Dayan | T. Akam | H. Simpson | A. Oliveira-Maia | Pedro Castro-Rodrigues | Ivar Snorasson | Marta Camacho M | V. Paixão | J. Barahona-Corrêa | H. B. Simpson H | Rui M. Costa | M. Camacho | A. Maia | B. Barahona-Corrêa | Albino J. Oliveira | John van Geest
[1] N. Daw,et al. Linear reinforcement learning in planning, grid fields, and cognitive control , 2021, Nature Communications.
[2] Peter Dayan,et al. The Anterior Cingulate Cortex Predicts Future States to Mediate Model-Based Action Selection , 2020, Neuron.
[3] A. Soltani,et al. Learning arbitrary stimulus-reward associations for naturalistic stimuli involves transition from learning about features to learning about objects , 2020, Cognition.
[4] Anne G. E. Collins,et al. Beyond dichotomies in reinforcement learning , 2020, Nature Reviews Neuroscience.
[5] Todd A. Hare,et al. Humans primarily use model-based inference in the two-stage task , 2020, Nature Human Behaviour.
[6] P. Dayan,et al. Anterior cingulate cortex represents action-state predictions and causally mediates model-based reinforcement learning in a two-step decision task , 2020, bioRxiv.
[7] Arkady Konovalov,et al. Mouse tracking reveals structure knowledge in the absence of model-based choice , 2020, Nature Communications.
[8] Sang Wan Lee,et al. Task complexity interacts with state-space uncertainty in the arbitration between model-based and model-free learning , 2019, Nature Communications.
[9] Christina L. Boisseau,et al. Comparison of the Association Between Goal-Directed Planning and Self-reported Compulsivity vs Obsessive-Compulsive Disorder Diagnosis , 2019, JAMA psychiatry.
[10] Samuel J. Gershman,et al. Believing in dopamine , 2019, Nature Reviews Neuroscience.
[11] Michael Moutoussis,et al. Credit assignment to state-independent task representations and its relationship with model-based decision making , 2019, Proceedings of the National Academy of Sciences.
[12] Todd A. Hare,et al. Model-free or muddled models in the two-stage task? , 2019 .
[13] C. Gillan,et al. Does cognitive-behavioral therapy affect goal-directed planning in obsessive-compulsive disorder? , 2019, Psychiatry Research.
[14] A. Oliveira-Maia,et al. Criterion Validity of the Yale-Brown Obsessive-Compulsive Scale Second Edition for Diagnosis of Obsessive-Compulsive Disorder in Adults , 2018, Front. Psychiatry.
[15] Chi-Hsiang Chung,et al. Electroconvulsive Therapy and Risk of Dementia—A Nationwide Cohort Study in Taiwan , 2018, Front. Psychiatry.
[16] Andreea C. Bostan,et al. The basal ganglia and the cerebellum: nodes in an integrated network , 2018, Nature Reviews Neuroscience.
[17] Daeyeol Lee,et al. Feature-based learning improves adaptability without compromising precision , 2017, Nature Communications.
[18] P. Dayan,et al. Single-Trial Inhibition of Anterior Cingulate Disrupts Model-based Reinforcement Learning in a Two-step Decision Task. , 2017 .
[19] M. Bloch,et al. Obsessive-Compulsive Disorder: Advances in Diagnosis and Treatment , 2017, JAMA.
[20] Samuel Gershman,et al. Predictive representations can link model-based reinforcement learning to model-free mechanisms , 2017, bioRxiv.
[21] R. Costa,et al. Habits , 2014 .
[22] Nicolas W. Schuck,et al. Human Orbitofrontal Cortex Represents a Cognitive Map of State Space , 2016, Neuron.
[23] Wouter Kool,et al. When Does Model-Based Control Pay Off? , 2016, PLoS Comput. Biol..
[24] M. Botvinick,et al. Reduced model-based decision-making in schizophrenia. , 2016, Journal of abnormal psychology.
[25] N. Daw,et al. Instructed knowledge shapes feedback-driven aversive learning in striatum and orbitofrontal cortex, but not the amygdala , 2016, eLife.
[26] N. Daw,et al. Characterizing a psychiatric symptom dimension related to deficits in goal-directed control , 2016, eLife.
[27] N. Daw,et al. Motivation and value influences in the relative balance of goal-directed and habitual behaviours in obsessive-compulsive disorder , 2015, Translational Psychiatry.
[28] Zeb Kurth-Nelson,et al. Model-Based Reasoning in Humans Becomes Automatic with Training , 2015, PLoS Comput. Biol..
[29] Samuel J. Gershman,et al. Computational rationality: A converging paradigm for intelligence in brains, minds, and machines , 2015, Science.
[30] Peter Dayan,et al. Simple Plans or Sophisticated Habits? State, Transition and Learning Interactions in the Two-Step Task , 2015, bioRxiv.
[31] N. Daw,et al. Valence-dependent influence of serotonin depletion on model-based choice strategy , 2015, Molecular Psychiatry.
[32] A. Villringer,et al. The interaction of acute and chronic stress impairs model-based behavioral control , 2015, Psychoneuroendocrinology.
[33] R. Dolan,et al. Ventral striatal dopamine reflects behavioral and neural signatures of model-based control during sequential decision making , 2015, Proceedings of the National Academy of Sciences.
[34] P. Dayan,et al. Disorders of compulsivity: a common bias towards learning habits , 2014, Molecular Psychiatry.
[35] Miriam Sebold,et al. Processing speed enhances model-based over model-free reinforcement learning in the presence of high working memory functioning , 2014, Front. Psychol..
[36] L. Deserno,et al. Model-Based and Model-Free Decisions in Alcohol Dependence , 2014, Neuropsychobiology.
[37] L. Deserno,et al. Devaluation and sequential decisions: linking goal-directed and model-based behavior , 2014, Front. Hum. Neurosci..
[38] Shane T. Mueller,et al. The Psychology Experiment Building Language (PEBL) and PEBL Test Battery , 2014, Journal of Neuroscience Methods.
[39] Shinsuke Shimojo,et al. Neural Computations Underlying Arbitration between Model-Based and Model-free Learning , 2013, Neuron.
[40] Shu-Chen Li,et al. Of goals and habits: age-related and individual differences in goal-directed decision-making , 2013, Front. Neurosci..
[41] Alice Y. Chiang,et al. Working-memory capacity protects model-based learning from stress , 2013, Proceedings of the National Academy of Sciences.
[42] Thomas H. B. FitzGerald,et al. Disruption of Dorsolateral Prefrontal Cortex Decreases Model-Based in Favor of Model-free Control in Humans , 2013, Neuron.
[43] P. Dayan,et al. Goals and Habits in the Brain , 2013, Neuron.
[44] N. Daw,et al. Extraversion differentiates between model-based and model-free strategies in a reinforcement learning task , 2013, Front. Hum. Neurosci..
[45] A. Markman,et al. The Curse of Planning: Dissecting Multiple Reinforcement-Learning Systems by Taxing the Central Executive , 2013 .
[46] Charles D. Spielberger,et al. State-Trait Anxiety Inventory for Adults , 2012 .
[47] P. Dayan,et al. Mapping value based planning and extensively trained choice in the human brain , 2012, Nature Neuroscience.
[48] A. Beck,et al. Beck Depression Inventory–II , 2011 .
[49] T. Robbins,et al. Disruption in the Balance Between Goal-Directed Behavior and Habit Learning in Obsessive-Compulsive Disorder , 2011, The American journal of psychiatry.
[50] Hauke R. Heekeren,et al. The Neural Basis of Following Advice , 2011, PLoS biology.
[51] Raymond J. Dolan,et al. Disentangling the Roles of Approach, Activation and Valence in Instrumental and Pavlovian Responding , 2011, PLoS Comput. Biol..
[52] P. Dayan,et al. Model-based influences on humans’ choices and striatal prediction errors , 2011, Neuron.
[53] Eduardo F. Morales,et al. An Introduction to Reinforcement Learning , 2011 .
[54] M. Delgado,et al. How instructed knowledge modulates the neural systems of reward learning , 2010, Proceedings of the National Academy of Sciences.
[55] E. Storch,et al. Development and psychometric evaluation of the Yale-Brown Obsessive-Compulsive Scale--Second Edition. , 2010, Psychological assessment.
[56] P. Dayan,et al. States versus Rewards: Dissociable Neural Prediction Error Signals Underlying Model-Based and Model-Free Reinforcement Learning , 2010, Neuron.
[57] R. Hertwig,et al. The description–experience gap in risky choice , 2009, Trends in Cognitive Sciences.
[58] M. Frank,et al. Instructional control of reinforcement learning: A behavioral and neurocomputational investigation , 2009, Brain Research.
[59] Richard Gonzalez,et al. Computational Models for the Combination of Advice and Individual Learning , 2009, Cogn. Sci..
[60] E. Bullmore,et al. Integrating evidence from neuroimaging and neuropsychological studies of obsessive-compulsive disorder: The orbitofronto-striatal model revisited , 2008, Neuroscience & Biobehavioral Reviews.
[61] T. Robbins,et al. Orbitofrontal Dysfunction in Patients with Obsessive-Compulsive Disorder and Their Unaffected Relatives , 2008, Science.
[62] Timothy Edward John Behrens,et al. Contrasting roles for cingulate and orbitofrontal cortex in decisions and social behaviour , 2007, Trends in Cognitive Sciences.
[63] P. Dayan,et al. Uncertainty-based competition between prefrontal and dorsolateral striatal systems for behavioral control , 2005, Nature Neuroscience.
[64] D. Kahneman. A perspective on judgment and choice: mapping bounded rationality. , 2003, The American psychologist.
[65] Ann M Graybiel,et al. Toward a Neurobiology of Obsessive-Compulsive Disorder , 2000, Neuron.
[66] D. Berch,et al. The Corsi Block-Tapping Task: Methodological and Theoretical Considerations , 1998, Brain and Cognition.
[67] G. Dunbar,et al. The validity of the Mini International Neuropsychiatric Interview (MINI) according to the SCID-P and its reliability , 1997, European Psychiatry.
[68] S. Sloman. The empirical case for two systems of reasoning. , 1996 .
[69] P. Lovibond,et al. Manual for the Depression Anxiety Stress Scales. 2 , 1995 .
[70] M. Steinberg. Structured clinical interview for DSM-IV dissociative disorders (SCID-D). , 1993 .
[71] W. Goodman,et al. The Yale-Brown Obsessive Compulsive Scale. I. Development, use, and reliability. , 1989, Archives of general psychiatry.
[72] J. Mazziotta,et al. Local cerebral glucose metabolic rates in obsessive-compulsive disorder. A comparison with rates in unipolar depression and in normal controls. , 1987, Archives of general psychiatry.
[73] A. Dickinson. Actions and habits: the development of behavioural autonomy , 1985 .
[74] R. Rescorla,et al. Postconditioning devaluation of a reinforcer affects instrumental responding. , 1985 .
[75] C. Spielberger. Manual for the State-Trait Anxiety Inventory (STAI) (Form Y , 1983 .
[76] Mark Galizio,et al. Instructional control of human operant behavior. , 1983 .
[77] Christopher D. Adams. Variations in the Sensitivity of Instrumental Responding to Reinforcer Devaluation , 1982 .
[78] Christopher D. Adams,et al. Instrumental Responding following Reinforcer Devaluation , 1981 .
[79] C. Spielberger,et al. Manual for the State-Trait Anxiety Inventory , 1970 .
[80] A. Baron,et al. Effects of instructions and reinforcement-feedback on human operant behavior maintained by fixed-interval reinforcement. , 1969, Journal of the experimental analysis of behavior.
[81] G. Wilson. Reversal of differential GSR conditioning by instructions. , 1968, Journal of experimental psychology.
[82] Arnold Kaufman,et al. SOME EFFECTS OF INSTRUCTIONS ON HUMAN OPERANT BEHAVIOR. , 1966 .
[83] E. Thorndike. “Animal Intelligence” , 1898, Nature.