Speed/accuracy trade-off between the habitual and the goal-directed processes

Cited by (346)

Items 201–300 of 346

1. Episodic retrieval for model-based evaluation in sequential decision tasks.
   Zhou, Corey Y., Talmi, Deborah, Daw, Nathaniel D., Mattar, Marcelo G. · 2025 · Psychological Review
2. Modulating Visuomotor Sequence Learning by Repetitive Transcranial Magnetic Stimulation: What Do We Know So Far?
   Laura Szücs-Bencze, Teodóra Vékony, Orsolya Pesthy, Nikoletta Szabó, Zsigmond Tamás Kincses, Zsolt Turi, Dezső Németh · 2023 · Journal of Intelligence
3. A re-examination of responding on ratio and regulated-probability interval schedules
   Omar David Perez, Michael R. F. Aitken, Amy L. Milton, Anthony Dickinson · 2018 · Learning and Motivation
4. Task Learnability Modulates Surprise but Not Valence Processing for Reinforcement Learning in Probabilistic Choice Tasks
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5. Humans rationally balance detailed and temporally abstract world models
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6. Spontaneous integration of temporal information: implications for representational/computational capacity of animals
   Ezgi Gür, Yalçın Akın Duyan, Fuat Balcı · 2017 · Animal Cognition
7. A Multilevel Computational Characterization of Endophenotypes in Addiction
   Vincenzo G. Fiore, Dimitri Ognibene, Bryon H. Adinoff, Xiaosi Gu · 2018 · eNeuro
8. Modeling effects of intrinsic and extrinsic rewards on the competition between striatal learning systems
   Joschka Boedecker, Thomas Lampe, Martin Riedmiller · 2013 · Frontiers in Psychology
9. Impacts of inter-trial interval duration on a computational model of sign-tracking vs. goal-tracking behaviour
   François Cinotti, Alain R. Marchand, Matthew R. Roesch, Benoît Girard, Mehdi Khamassi · 2019 · Psychopharmacology
10. No substantial change in the balance between model-free and model-based control via training on the two-step task
    Elmar D. Grosskurth, Dominik R. Bach, Marcos Economides, Quentin J. M. Huys, Lisa Holper · 2019 · PLoS Computational Biology
11. Behavioural signatures of backward planning in animals
    Arsham Afsardeir, Mehdi Keramati · 2018 · European Journal of Neuroscience
12. Which Temporal Difference Learning Algorithm Best Reproduces Dopamine Activity in a Multi-choice Task?
    Jean Bellot, Olivier Sigaud, Mehdi Khamassi · 2012 · Lecture notes in computer science
13. Rats delay gratification during a time-based diminishing returns task.
    Douglas R. Schuweiler, Manaahil Rao, Heather J. Pribut, Matthew R. Roesch · 2021 · Journal of Experimental Psychology Animal Learning and Cognition
14. Reminders of past choices bias decisions for reward in humans
    Aaron M. Bornstein, Mel Win Khaw, Daphna Shohamy A, Nathaniel D. Daw · 2015 · bioRxiv (Cold Spring Harbor Laboratory)
15. Leveraging control priors in deep reinforcement learning for robotics
    Krishan Rana · 2023 · Queensland University of Technology
16. Probing the decision-making mechanisms underlying choice between drug and nondrug rewards in rats
    Youna Vandaele, Magalie Lenoir, Caroline Vouillac‐Mendoza, Karine Guillem, Serge H. Ahmed · 2021 · eLife
17. The Specification of a Computational Model of Physical Activity Habit
    Amanda L. Rebar, Constantino M. Lagoa, Benjamin Gardner, David E. Conroy · 2024 · Exercise and Sport Sciences Reviews
18. Computational Model of the Transition from Novice to Expert Interaction Techniques
    Gilles Bailly, Mehdi Khamassi, Benoît Girard · 2022 · ACM Transactions on Computer-Human Interaction
19. Model based control can give rise to devaluation insensitive choice
    Neil Garrett, Sean Allan, Nathaniel D. Daw · 2023 · Addiction Neuroscience
20. Memory precision and age differentially predict the use of decision-making strategies across the lifespan
    Sharon Mina Noh, Umesh Kumar Singla, Ilana J. Bennett, Aaron M. Bornstein · 2023 · Scientific Reports
21. A theory of actions and habits: The interaction of rate correlation and contiguity systems in free-operant behavior
    Omar D. Perez, Anthony Dickinson · 2019 · bioRxiv (Cold Spring Harbor Laboratory)
22. Integration of Action, Joint Action and Learning in Robot Cognitive Architectures
    Mehdi Khamassi, Benoît Girard, Aurélie Clodic, Sandra Devin, Erwan Renaudo, Élisabeth Pacherie, Rachid Alami, Raja Chatila · 2016 · Intellectica Revue de l Association pour la Recherche Cognitive
23. Model-Based and Model-Free Replay Mechanisms for Reinforcement Learning in Neurorobotics
    Elisa Massi, Jean-Gabriel Barthélemy, Juliane Mailly, Rémi Dromnelle, Julien Canitrot, Esther Poniatowski, Benoît Girard, Mehdi Khamassi · 2022 · Frontiers in Neurorobotics
24. Music and Video Gaming during Breaks: Influence on Habitual versus Goal-Directed Decision Making
    Shuyan Liu, Daniel J. Schad, Maxim S. Kuschpel, Michael A. Rapp, Andreas Heinz · 2016 · PLoS ONE
25. Decision-making deficits in substance use disorders
    Alireza Valyan, Hamed Ekhtiari, Ryan S. Smith, Martin P. Paulus · 2019 · Elsevier eBooks
26. Neuro-inspired Navigation Strategies Shifting for Robots: Integration of a Multiple Landmark Taxon Strategy
    Ken Caluwaerts, Antoine Favre-Félix, Mariacarla Staffa, Steve N’Guyen, Christophe Grand, Benoît Girard, Mehdi Khamassi · 2012 · Lecture notes in computer science
27. Failure Modes of the Will: From Goals to Habits to Compulsions?
    Quentin J. M. Huys, Frederike H. Petzschner · 2015 · American Journal of Psychiatry
28. A Sequential Sampling Approach to the Integration of Habits and Goals
    Chao Zhang, Arlette van Wissen, Ron Dotsch, Daniël Lakens, Wijnand A. IJsselsteijn · 2024 · Computational Brain & Behavior
29. Teaching Without Thinking: Negative Evaluations of Rote Pedagogy
    Ilona Bass, Cristian Espinoza, Elizabeth Baraff Bonawitz, Tomer David Ullman · 2024 · Cognitive Science
30. Reinforcement learning and dopamine in the striatum: A modeling perspective
    Shesharao M. Wanjerkhede, Raju Surampudi Bapi, V. D. Mytri · 2014 · Neurocomputing
31. The detour problem in a stochastic environment: Tolman revisited
    Pegah Fakhari, Arash Khodadadi, Jerome R. Busemeyer · 2017 · Cognitive Psychology
32. Is Synchronic Self-Control Possible?
    Julia Haas · 2020 · Review of Philosophy and Psychology
33. The rodent lateral orbitofrontal cortex as an arbitrator selecting between model-based and model-free learning systems.
    Marios C. Panayi, Mehdi Khamassi, Simon Killcross · 2021 · Behavioral Neuroscience
34. Dorsal hippocampus contributes to model-based planning
    Kevin J. Miller, Matthew Botvinick, Carlos D. Brody · 2016 · bioRxiv (Cold Spring Harbor Laboratory)
35. Models and Methods for Reinforcement Learning
    Peter Dayan, Hiroyuki Nakahara · 2018 · Wiley eBooks
36. The neural basis of habit formation measured in goal-directed response switching
    Mario Michiels, Vincent Y. Man, David Luque, Ignacio Obeso · 2026 · iScience
37. Distinct cortico-striatal compartments drive competition between adaptive and automatized behavior
    William H. Barnett, Alexey S. Kuznetsov, Christopher C. Lapish · 2023 · PLoS ONE
38. Defining and Measuring Habits Across Different Fields of Research
    Poppy Watson · 2024 · Springer eBooks
39. Pupil dilation reflects effortful action invigoration in overcoming aversive Pavlovian biases
    Johannes Algermissen, Hanneke E.M. den Ouden · 2024 · Cognitive Affective & Behavioral Neuroscience
40. A Robotic Approach to Understanding the Role and the Mechanism of Vicarious Trial-And-Error in a T-Maze Task
    Eiko Matsuda, Julien Hubert, Takashi Ikegami · 2014 · PLoS ONE
41. Accounting for Negative Automaintenance in Pigeons: A Dual Learning Systems Approach and Factored Representations
    Florian Lesaint, Olivier Sigaud, Mehdi Khamassi · 2014 · PLoS ONE
42. Instrumental behavior in humans is sensitive to the correlation between response rate and reward rate
    Omar David Perez · 2020 · Psychonomic Bulletin & Review
43. Understanding Addiction as a Pathological State of Multiple Decision Making Processes: A Neurocomputational Perspective
    Mehdi Keramati, Amir Dezfouli, Payam Piray · 2011 · Springer eBooks
44. Globalization and the rise and fall of cognitive control
    Mohsen Mosleh, Katelynn Kyker, Jonathan D. Cohen, David Gertler Rand · 2020 · Nature Communications
45. Loss Aversion Correlates With the Propensity to Deploy Model-Based Control
    Alec Solway, Terry M. Lohrenz, P. Read Montague · 2019 · Frontiers in Neuroscience
46. Evaluation of principles of motor learning in speech and non-speech-motor learning tasks
    Ramesh Kaipa · 2013 · UC Research Repository (University of Canterbury)
47. The shift from life in water to life on land advantaged planning in visually-guided behavior
    Ugurcan Mugan, Malcolm A. MacIver · 2019 · bioRxiv (Cold Spring Harbor Laboratory)
48. Reward-Based Learning, Model-Based and Model-Free
    Quentin J. M. Huys, Anthony Cruickshank, Peggy Seriès · 2015 · Encyclopedia of Computational Neuroscience
49. Delayed rewards weaken human goal directed actions
    Omar David Perez, Gonzalo Pablo Urcelay · 2025 · npj Science of Learning
50. Procedural separation of appetitive and consummatory behaviors in operant ethanol self‐administration: A review and open‐source analytical framework
    Olivia A. Ortelli, Weiner Jl · 2026 · Alcoholism Clinical and Experimental Research
51. Arbitration between model-free and model-based control is not affected by transient changes in tonic serotonin levels
    Maximilian Gilger, Lydia Hellrung, Philipp T. Neukam, Nils B. Kroemer, Stephan Nebe, Shakoor Pooseh, Yacila I. Deza-Lougovski, Michael N. Smolka · 2023 · Journal of Psychopharmacology
52. Use of the non-paretic arm reflects a habitual behaviour in chronic stroke
    Sebastian Sporn, E Bonyadi, Rezka Fathana, Lisa Tedesco Triccas, M. Coll, Sven Bestmann, Nick Ward · 2025 · Journal of NeuroEngineering and Rehabilitation
53. Individually irrational pruning is essential for ecological rationality in a social context
    Sareh Zendehrouh, Majid Nili Ahmadabadi · 2020 · Cognitive Psychology
54. Relevant factors for arm choice in reaching movement: a scoping review
    Kento Hirayama, Yuki Ito, Tōru Takahashi, Rieko Osu · 2022 · Journal of Physical Therapy Science
55. Looking deeper into the algorithms underlying human planning
    Ionatan Kuperwajs, Evan M. Russek, Marcelo Gomes Mattar, Wei Ji Ma, Thomas L. Griffiths · 2025 · Trends in Cognitive Sciences
56. Value Function Dynamic Estimation in Reinforcement Learning based on Data Adequacy
    Huifan Gao, Yinghui Pan, Jing Tang, Yifeng Zeng, Peihua Chai, Langcai Cao · 2020 · High Performance Computing and Cluster Technologies Conference (HPCCT)
57. Validating Habitual and Goal-Directed Decision-Making Performance Online in Healthy Older Adults
    Kaori L. Ito, Laura Cao, Renee Reinberg, Brenton Keller, John R. Monterosso, Nicolas Schweighofer, Sook‐Lei Liew · 2021 · Frontiers in Aging Neuroscience
58. Adaptive search space pruning in complex strategic problems
    Ofra Amir, Liron Tyomkin, Yuval Hart · 2022 · PLoS Computational Biology
59. Multi-Plasticities: Distinguishing Context-Specific Habits from Complex Perseverations
    Nidhi V Banavar, Aaron M. Bornstein · 2024 · Springer eBooks
60. The formation and use of hierarchical cognitive maps in the brain: A neural network model
    H Jordan, Daniel de Moraes Navarro, Simon M. Stringer · 2020 · Network Computation in Neural Systems
61. Addiction as a Symptom of Failure Modes in the Machineries of Decision Making
    A. David Redish · 2015 · Wiley eBooks
62. Synergizing habits and goals with variational Bayes
    Dongqi Han, Kenji Doya, Dongsheng Li, Jun Tani · 2024 · Nature Communications
63. A cognitive approach to learning, monitoring, and shifting social norms
    Uri Hertz · 2024 · Current Opinion in Psychology
64. Gravity support from a robotic exoskeleton increases spontaneous use of the nondominant upper extremity during a choice reaching task
    Seraphina A. Culp, Shawn J. DiRocco, Alexander Brunfeldt, Rafael Casas, Peter S. Lum · 2024 · Journal of Neurophysiology
65. Disentangling the Component Processes in Complex Planning Impairments Following Ventromedial Prefrontal Lesions
    Eleanor Holton, Bas van Opheusden, Jan Grohn, Harry Ward, John P Grogan, Patricia L. Lockwood, Ili Ma, Wei Ji Ma, Sanjay Manohar · 2025 · Journal of Neuroscience
66. Ultrasound neuromodulation reveals distinct roles of the dorsal anterior cingulate cortex and anterior insula in learning
    Nomiki Koutsoumpari, Johannes Algermissen, Siti N. Yaakub, Hanneke E.M. den Ouden, Nadège Bault, Elsa Florence Fouragnan · 2026 · PLoS Biology
67. Collective Intelligence under a Volatile Task Environment: A Behavioral Experiment Using Social Networks and Computer Simulations
    Aoi Naito, Naoki Masuda, Tatsuya Kameda · 2023 · Interdisciplinary Information Sciences
68. The neurocognitive role of working memory load when Pavlovian motivational control affects instrumental learning
    Heesun Park, Hoyoung Doh, Eunhwi Lee, Harhim Park, Woo‐Young Ahn · 2023 · PLoS Computational Biology
69. Multi-task prioritization during the performance of a postural–manual and communication task
    Kara L. Simon-Kuhn, Jeffrey M. Haddad, Jessica E. Huber · 2019 · Experimental Brain Research
70. Adaptive Coordination of Multiple Learning Strategies in Brains and Robots
    Mehdi Khamassi · 2020 · Lecture notes in computer science
71. Addiction beyond pharmacological effects: the role of environment complexity and bounded rationality
    Dimitri Ognibene, Vincenzo G. Fiore, Xiaosi Gu · 2017 · bioRxiv (Cold Spring Harbor Laboratory)
72. Static and Dynamic Values of Computation in MCTS
    Eren Sezener, Peter Dayan · 2020 · arXiv (Cornell University)
73. The Neuroeconomics of Habit
    Colin Camerer, Peter Landry, Ryan Webb · 2018 · SSRN Electronic Journal
74. Greater reliance on model-free learning in adolescent anorexia nervosa: An examination of dual-system reinforcement learning
    Carina S. Brown, Sean Devine, A. Ross Otto, Amanda Bischoff‐Grethe, Christina E. Wierenga · 2024 · medRxiv
75. Situating Habit and Goal-Direction in a General View of Instrumental Behavior
    Mark E. Bouton · 2024 · Springer eBooks
76. Time-Budget of Housed Goats Reared for Meat Production: Effects of Stocking Density on Natural Behaviour Expression and Welfare
    Meng Zeng, Bin Yan, Hanlin Zhou, Qun Wu, Kaixuan Wang, Yuanting Yang, Weishi Peng, Hu Liu, Chihai Ji, Xiaosong Zhang et al. · 2025 · Agriculture
77. Implicit Counterfactual Effect in Partial Feedback Reinforcement Learning: Behavioral and Modeling Approach
    Zahra Barakchian, Abdol‐Hossein Vahabie, Majid Nili Ahmadabadi · 2022 · Frontiers in Neuroscience
78. The Impact of Emotions on Habitual Inhibition
    David Mata‐Marín, Peter Redgrave, Ignacio Obeso · 2023 · Journal of Cognitive Neuroscience
79. Efficiency and prioritization of inference-based credit assignment
    Rani Moran, Peter Dayan, Raymond J. Dolan · 2021 · Current Biology
80. Cognitive and Stimulus–Response Habit Functions of the Neo-(Dorsal) Striatum
    Bryan D. Devan, Nufar Chaban, Jessica Piscopello, Scott H. Deibel, Robert J. McDonald · 2016 · Innovations in cognitive neuroscience
81. Comparison of reaction time ability for different forms of stimuli among various athletes
    Md. Yeasir Arafat, Joynul Abedin, Jannatul Ferdaus Rickta, Fatima Tus Johora Mukta, Rezaul Islam · 2022 · Saudi Journal of Sports Medicine
82. Crosstalk between nutritions and brain neurotransmitters
    Kaunava Roy Chowdhury, Vishal Kumar, Priya Bindal, Charan Singh, Arti Singh · 2024 · Elsevier eBooks
83. Executive function supports single-shot endowment of value to arbitrary transient goals
    Samuel D. McDougle, Ian C. Ballard, Beth Baribault, Sonia J. Bishop, Anne Gabrielle Eva Collins · 2020 · bioRxiv (Cold Spring Harbor Laboratory)
84. Theory-based Habit Modeling for Enhancing Behavior Prediction
    Chao Zhang, Joaquin Vanschoren, Arlette van Wissen, Daniël Lakens, Boris de Ruyter, Wijnand A. IJsselsteijn · 2021 · arXiv (Cornell University)
85. Context-Dependent Interaction Between Goal-Directed and Habitual Control Under Time Pressure
    Sascha Frölich, Ben Wagner, Michael N. Smolka, Stefan J. Kiebel · 2024 · bioRxiv (Cold Spring Harbor Laboratory)
86. Two lingering delays in a go/no-go task: mind wandering and caution/uncertainty slow down thought probe response times
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87. A supply and demand approach to information processing in decision-making
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88. Assessing the validity evidence for habit measures based on time pressure
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89. Rethinking computational models of addiction: toward context-sensitive and psychologically grounded frameworks
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90. Context-dependent interaction between goal-directed and habitual control under time pressure
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91. Mixing memory and desire: How memory reactivation supports deliberative decision‐making
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92. Context changes retrieval of prospective outcomes during decision deliberation
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93. A Bayesian Time-Varying Psychophysiological Interaction Model
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94. When models matter: Environmental demand guides the arbitration between model-based and model-free control
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95. Arm choice post-stroke is habitual rather than optimal in right-, but not in left-paretic individuals
    Sujin Kim, Cheol E. Han, Bokkyu Kim, Carolee Joyce Winstein, Nicolas Schweighofer · 2020 · medRxiv
96. Reward-Based Learning, Model-Based and Model-Free
    Quentin J. M. Huys, Peggy Seriès · 2022 · Encyclopedia of Computational Neuroscience
97. Introducing Dual-System Theory to Travel Behavior: The Relationship between Habits and Sub-Exploration of Novel and Better Transportation Options.
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98. Temporal dynamics of model-based control reveal arbitration between multiple task representations
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99. A dopaminergic basis of behavioral control
    Ian C. Ballard, Daniella J. Furman, Anne S. Berry, Robert L. White, William J. Jagust, Andrew S. Kayser, Mark D’Esposito · 2024 · bioRxiv (Cold Spring Harbor Laboratory)
100. Efficient Learning of Predictive Maps for Flexible Planning
     Armin Bazarjani, Payam Piray · 2026 · bioRxiv (Cold Spring Harbor Laboratory)