Decision theory, reinforcement learning, and the brain

Cited by (583)

Items 401–500 of 583

1. Dynamic reinforcement learning reveals time-dependent shifts in strategy during reward learning
   Sarah Jo C Venditto, Kevin J. Miller, Carlos D. Brody, Nathaniel D. Daw · 2024 · eLife
2. When Can AI Models Explain Learning? Validity Criteria for AI as Cognitive Models in Education
   Wang, Peng, Viberg, Olga, Law, Effie Lai-Chong, Greiff, Samuel · 2026 · Educational Psychology Review
3. Event-Triggered Hierarchical Planner for Autonomous Navigation in Unknown Environment
   C. L. Philip Chen, Bifeng Song, Qiang Fu, Dong Xue, Lei He · 2023 · Drones
4. Fusion of dual modalities of non-invasive sensory feedback for object profiling with prosthetic hands
   Jie Zhang, Chih-Hong Chou, Manzhao Hao, Yan Li, Yashuo Yu, Ning Lan · 2023 · Frontiers in Neurorobotics
5. Enhanced “learning to learn” through a hierarchical dual-learning system: the case of action video game players
   Yu-Yan Gao, Zeming Fang, Qiang Zhou, Ru‐Yuan Zhang · 2024 · BMC Psychology
6. Adaptive Clutter Intelligent Suppression Method Based on Deep Reinforcement Learning
   Yi Cheng, Junjie Su, Chunbo Xiu, Jiaxin Liu · 2024 · Applied Sciences
7. Global neural encoding of behavioral strategies in mice during perceptual decision-making task with two different sensory patterns
   Shuo Wang, Huayi Gao, Yutaro Ueoka, Kotaro Ishizu, Akihiro Funamizu · 2024 · iScience
8. Reinforcement learning in women remitted from anorexia nervosa: Preliminary examination with a hybrid reinforcement learning/drift diffusion model
   Christina E. Wierenga, Amanda Bischoff‐Grethe, Carina S. Brown, Gregory G. Brown · 2025 · Journal of the International Neuropsychological Society
9. Neurocomputational model of moral behaviour
   Alessio Plebe · 2015 · Biological Cybernetics
10. What Have We Learned About Learning? Reflections from Developmental Psychology and Cognitive Neuroscience
    Saloni Krishnan · 2016 · Einstein Journal of Biology and Medicine
11. Computational Phenotypes Revealed by Interactive Economic Games
    P. Read Montague · 2017 · Elsevier eBooks
12. Homeostasis after injury: How intertwined inference and control underpin post-injury pain and behaviour
    Pranav Mahajan, Peter Dayan, Ben Seymour · 2026 · PLoS Computational Biology
13. Neural Signature of Value-Based Sensorimotor Prioritization in Humans
    Annabelle Blangero, Simon P. Kelly · 2017 · Journal of Neuroscience
14. Tonic dopamine effects in a bio-inspired robot controller enhance expected lifetime
    Cristóbal J. Nettle, María-José Escobar, Arthur Leblois · 2016 · IEEE International Conference on Development and Learning (ICDL)
15. Transactions on Computational Collective Intelligence XX
    Ngoc Thanh Nguyên, Ryszard Kowalczyk, Béatrice Duval, H.J. van den Herik, Stéphane Loiseau, Joaquim Filipe · 2015 · Lecture notes in computer science
16. Neural mechanisms of reinforcement learning under mortality threat
    Tianyu Gao, Yuqing Zhou, Wenxin Li, Daniela Melitta Pfabigan, Shihui Han · 2019 · Social Neuroscience
17. Dimensional reduction of emergent spatiotemporal cortical dynamics via a maximum entropy moment closure
    Yuxiu Shao, Jiwei Zhang, Louis Tao · 2020 · PLoS Computational Biology
18. Ideas on Improving Software Artifact Reuse via Traceability and Self-Awareness
    Christof Tinnes, Andreas Biesdorf, Uwe Hohenstein, Florian Matthes · 2019 · IEEE/ACM International Symposium on Software and Systems Traceability (SST)
19. Nonlinear Phenomena in Biology and Medicine
    Vikas Rai, Sreenivasan Rajamoni Nadar, Ranjit Kumar Upadhyay · 2012 · Computational and Mathematical Methods in Medicine
20. Synaptic plasticity in the orbitofrontal cortex explains how risk attitude adapts to the range of risk prospects
    Jules Brochard, Jean Daunizeau A · 2020 · bioRxiv (Cold Spring Harbor Laboratory)
21. Dynamic reinforcement learning reveals time-dependent shifts in strategy during reward learning
    Sarah Jo C Venditto, Kevin J. Miller, Carlos D. Brody, Nathaniel D. Daw · 2024 · eLife
22. Cognitive Graphs of Latent Structure in Rostral Anterior Cingulate Cortex
    Maksym Manakov, Mikhail Proskurin, Hanqing Wang, Е. П. Кулешова, Andy Lustig, Reza Behnam, Shaul Druckmann, D. Gowanlock R. Tervo, Alla Y. Karpova · 2025 · bioRxiv (Cold Spring Harbor Laboratory)
23. Increased breathlessness in post-COVID syndrome despite normal breathing patterns in a rebreathing challenge
    Dina von Werder, Maria Aubele, Franziska Regnath, Elisabeth Tebbe, Dejan Mladenov, Victoria von Rheinbaben, Elisabeth Hahn, Daniel Schäfer, Katharina Biersack, Kristina Adorjan et al. · 2025 · Scientific Reports
24. Modeling natural neural networks of decision making with artificial neural networks
    Akihiro Funamizu, Ryo Karakida · 2025 · Neuroscience Research
25. Statistical learning: A core mechanism in a developmental hierarchy
    Richard Ν. Aslin, Jenny R. Saffran · 2025 · Current Opinion in Neurobiology
26. Refining mechanistic models of hallucinations for enhanced translatability
    Justin Buck, Kiyohito Iigaya, Guillermo Horga · 2025 · Translational Psychiatry
27. Pupil size predicts exploration through critical slowing in prefrontal dynamics
    Akram Shourkeshti, Mojtaba Abbaszadeh, Gabriel Marrocco, Katarzyna Jurewicz, Tirin Moore, R. Becket Ebitz · 2025 · Communications Biology
28. Pain and self-preservation in autonomous robots: From neurobiological models to psychiatric disease
    Luca Piccolo, Fabio Dalla Libera, Andrea Bonarini, Ben Seymour, Hiroshi Ishiguro · 2017 · IEEE International Conference on Development and Learning (ICDL)
29. Deciding advantageously after flipping a coin
    Mariela E. Jaffé, Rainer Greifeneder · 2022 · Acta Psychologica
30. Psychoanalytical Considerations of Emotion Regulation Disorders in Multiple Complex-Traumatized Children—A Study Protocol of the Prospective Study MuKi
    Felicitas Hug, Tom Degen, Patrick Meurs, Tamara Fischmann · 2022 · Frontiers in Human Neuroscience
31. Prior experience modifies acquisition trajectories via response–strategy sampling
    Carter W. Daniels, Peter D. Balsam · 2023 · Animal Cognition
32. A task-invariant prior explains trial-by-trial active avoidance behaviour across gain and loss tasks
    Tobias Granwald, Peter Dayan, Máté Lengyel, Marc Guitart‐Masip · 2025 · Communications Psychology
33. Mastering the Principles of Reinforcement Learning: Techniques, Applications, and Future Prospects
    Firehiwot Kebede, Hailemariam Yohannes Asefa, Getachew Desta · 2023 · Fusion of Multidisciplinary Research An International Journal
34. Perceptual interventions ameliorate statistical discrimination in learning agents
    Edgar A. Duéñez‐Guzmán, Ramona Comanescu, Yiran Mao, Kevin R. McKee, Ben Coppin, Suzanne Sadedin, Silvia Chiappa, Alexander Sasha Vezhnevets, Michiel A. Bakker, Yoram Bachrach et al. · 2025 · Proceedings of the National Academy of Sciences
35. Two Theories of Moral Cognition
    Julia Haas · 2020 · The International library of ethics, law and technology
36. Endogenous Learning with Bounded Memory Job Market Paper
    Yilmaz Kocer · 2010
37. The impact of perceptual aliasing on exploration and learning in a dynamic decision making task
    Lisa Zaval, Todd Matthew Gureckis · 2010 · eScholarship (California Digital Library)
38. On Cognitive Searching Optimization in Semi‐Markov Jump Decision Using Multistep Transition and Mental Rehearsal
    Bingxuan Ren, Tangwen Yin, Shan Fu · 2021 · Complexity
39. Applying Reinforcement Learning to the Psychopathology of Obsessive–Compulsive and Gambling Disorders: Practices and Pitfalls in Computational Model Fitting
    Shinsuke Suzuki, Kentaro Katahira · 2025 · Studies in neuroscience, psychology and behavioral economics
40. On Biologically Inspired Stochastic Reinforcement Deep Learning: A Case Study on Visual Surveillance
    Nadine Hajj, Mariette Awad · 2019 · IEEE Access
41. A Hierarchical Computational Model Inspired by the Behavioral Control in the Primate Brain
    Dongqing Shi, Jerald D. Kralik, Haiyan Mi · 2020 · IEEE Access
42. The Reactive Roots of Retribution: Normative Implications of the Neuroscience of Punishment
    Isaac Wiegman · 2020 · The International library of ethics, law and technology
43. The Brain Uses Reliability of Stimulus Information when Making Perceptual Decisions
    Sebastian Bitzer, Stefan J. Kiebel · 2015 · arXiv (Cornell University)
44. Large prospective losses lead to sub-optimal sensorimotor decisions in humans
    Tyler James Adkins, Richard L. Lewis, Taraz G. Lee · 2018 · bioRxiv (Cold Spring Harbor Laboratory)
45. Understanding the Origin of Information-Seeking Exploration in Probabilistic Objectives for Control
    Beren Millidge, Anil C. Seth, Christopher L. Buckley · 2021 · arXiv (Cornell University)
46. Limitations of a proposed correction for slow drifts in decision criterion
    Diksha Gupta, Carlos D. Brody · 2021 · bioRxiv (Cold Spring Harbor Laboratory)
47. Flexible Structure Learning Under Uncertainty
    Rui Wang, Vael Gates, Yuan Shen, Peter Tiňo B, Zoe Kourtzi · 2022 · SSRN Electronic Journal
48. Trial-history biases in evidence accumulation can give rise to apparent lapses
    Diksha Gupta, Brian DePasquale, Charles D. Kopec, Carlos D. Brody · 2023 · bioRxiv (Cold Spring Harbor Laboratory)
49. Explore-exploit behaviors predict broad autism social phenotypes in general population
    Evan Knep, Xinyuan Yan, Cathy S. Chen, Suma Jacob, David P Darrow, R. Becket Ebitz, Nicola M. Grissom, Alexander B. Herman · 2024
50. Encoding of task regularities links grid-like signals to human timing behavior
    Ignacio Polti, Matthias Nau, Raphael Kaplan, Virginie van Wassenhove, Christian F. Doeller · 2024 · bioRxiv (Cold Spring Harbor Laboratory)
51. Global neural encoding of model-free and inference-based strategies in mice
    Shuo Wang, Huayi Gao, Kotaro Ishizu, Akihiro Funamizu · 2024 · bioRxiv (Cold Spring Harbor Laboratory)
52. Learning from rewards and social information in naturalistic strategic behavior
    Ionatan Kuperwajs, Bas van Opheusden, Evan M. Russek, Thomas L. Griffiths · 2024
53. Reinforcement Learning with Spiking Neural Networks for Robotic Applications: A Survey
    Katerina Maria Oikonomou, Ioannis Kansizoglou, Antonios C. Gasteratos · 2025
54. Functional capacity in schizophrenia: Relationship among effort, reinforcement learning and self-beliefs
    Sally J. Vogel · 2020 · Digital Scholarship - UNLV (University of Nevada Reno)
55. Can the VTA Come Out to Play? Only When the mPFC’s Predictions Go Astray!
    Alexandra Stolyarova, Andrew M. Wikenheiser · 2020 · Neuron
56. Flexible structure learning under uncertainty
    Rui Wang, Vael Gates, Yuan Shen, P. Tiňo, Z. Kourtzi · 2023 · Frontiers in Neuroscience
57. Bioinspired Stimulus Selection Under Multisensory Overload in Social Robots Using Reinforcement Learning
    Jesús García, Marcos Maroto Gómez, Arecia Segura-Bencomo, Álvaro Castro‐González, José Carlos Castillo · 2025 · Sensors
58. Deciding for others diminishes model-based decision-making but depends on individual prosociality
    Yangchu Huang, Xinyi Du, Shanshan Zhen · 2026 · npj Science of Learning
59. Learning from experience: Depressive bias and updating beliefs about common life events
    Joseph Maffly‐Kipp, Daniel R. Strunk, Robert J. Zhou, Jay C.J. Fournier · 2026 · Behaviour Research and Therapy
60. Neural Bases of Affect-Based Impulsivity: A Decision Neuroscience Account
    Alison Schreiber, Michael N. Hallquist · 2026 · Computational Psychiatry
61. Prediction in action: Toward an empirical science of active inference
    Jet Lageman, Johannes J. Fahrenfort, Heleen A. Slagter · 2026 · Neuroscience & Biobehavioral Reviews
62. Frontiers research topic on the neurobiology of choice
    Julia Trommershäuser · 2011 · Frontiers in Neuroscience
63. What is ‘wrong’ in a neural model
    Alessio Plebe · 2016 · Cognitive Systems Research
64. A Question of Balance
    Martyn Lloyd-Kelly, Fernand R. Gobet, Peter C. R. Lane · 2015 · Lecture notes in computer science
65. Reward Processing in Motivational and Affective Disorders
    Nikolina Skandali · 2016 · Frontiers research topics
66. Modeling the sensory roles of noradrenaline in action selection
    Maxime Carrere, Frédéric Alexandre · 2016 · IEEE International Conference on Development and Learning (ICDL)
67. Linear Time Series Analysis
    Daniel Durstewitz · 2017 · Bernstein series in computational neuroscience
68. Neural Substrate and Computation for Perceptual Decision Making
    Akihiro Funamizu · 2020 · The Brain & Neural Networks
69. Reinforcement Learning Inspired by Psychology and Neuroscience
    Hongkun Wu · 2023 · Journal of Education Humanities and Social Sciences
70. Statistical Machine-Learning Methods to Model Brain Plasticity
    Pablo Robles-Granda, Aron Keith Barbey, Sanmi Koyejo · 2025 · Oxford University Press eBooks
71. Safety Culture: An Examination of the Relationship between a Safety Management System and Pilot Judgment Using Simulation in Aeronautics
    Stuart A. Campbell · 2013 · Lecture notes in computer science
72. A Distributed Q-Learning Approach for Variable Attention to Multiple Critics
    Maryam Tavakol, Majid Nili Ahmadabadi, Maryam S. Mirian, Masoud Asadpour · 2012 · Lecture notes in computer science
73. A Reward-driven Model of Darwinian Fitness
    Jan Teichmann, Eduardo Alonso, Mark Broom · 2015 · International Joint Conference on Computational Intelligence
74. Parables and Paradigms
    Theodore H. Wasserman, Lori Drucker Wasserman · 2017 · Springer eBooks
75. Influence of multiple action–outcome associations on the transition dynamics toward an optimal choice in rats
    Noha Mohsen Zommara, Muneyoshi Takahashi, Johan Lauwereyns · 2017 · Cognitive Neurodynamics
76. Seeing, fast and slow: effects of processing time on perceptual bias
    Ron Dekel, Dov Sagi · 2019 · Journal of Vision
77. Cognitive computational neuroscience
    Nikolaus Kriegeskorte, Pamela K. Douglas · 2018 · arXiv (Cornell University)
78. SUSTAINED DOPAMINERGIC PLATEAUS AND NORADRENERGIC DEPRESSIONS MEDIATE DISSOCIABLE ASPECTS OF EXPLOITATIVE STATES
    Aaron C. Koralek, Rui M. Costa · 2019 · bioRxiv (Cold Spring Harbor Laboratory)
79. The effects of developmental trauma on reinforcement learning and its relationship to psychotic experiences: a behavioural study
    Rowan Rezaie, Mustapha Modaffar, Paul Jung, Chandni Hindocha, James A. Bisby, Michael Bloomfield · 2020 · medRxiv
80. Temporal stimulus segmentation by reinforcement learning in populations of spiking neurons
    Luisa Le Donne, Lik Chun Chan, Robert Urbanczik, Walter Senn, Giancarlo La Camera · 2020 · bioRxiv (Cold Spring Harbor Laboratory)
81. Statistical discrimination in learning agents
    Edgar A. Duéñez‐Guzmán, Kevin R. McKee, Yiran Mao, Ben Coppin, Silvia Chiappa, Alexander Sasha Vezhnevets, Michiel A. Bakker, Yoram Bachrach, Suzanne Sadedin, William Samuel Isaac et al. · 2021 · arXiv (Cornell University)
82. Reward Bases: Instantaneous reward revaluation with temporal difference learning
    Beren Millidge, Mark E. Walton, Rafał Bogacz · 2022 · bioRxiv (Cold Spring Harbor Laboratory)
83. Decision Making, Models
    Paul C. Miller · 2013 · Encyclopedia of Computational Neuroscience
84. Decision-Making, Models
    Paul C. Miller · 2015 · Encyclopedia of Computational Neuroscience
85. Decision-Making, Models
    Paul C. Miller · 2022 · Encyclopedia of Computational Neuroscience
86. Modeling the value-based decision to consume alcohol in response to emotional experiences
    Jonas Dora, Amber Copeland, Matt Field, Kevin Michael King · 2022
87. Computational mechanisms underlying the dynamics of physical and cognitive fatigue
    Julian Matthews, M. Andrea Pisauro, Mindaugas Jurgelis, Tanja Mueller, Eliana Vassena, Trevor T.‐J. Chong, Matthew A J Apps · 2023
88. Cascade or Updown Sliding: The Influence of Interactive Interface of Short Video App on Information Processing and User Experience
    Ya Yang, Bingyue Yu, Guoming Yu · 2023 · SSRN Electronic Journal
89. Dynamic reinforcement learning reveals time-dependent shifts in strategy during reward learning
    Sarah Jo C Venditto, Kevin J. Miller, Carlos D. Brody, Nathaniel D. Daw · 2024 · bioRxiv (Cold Spring Harbor Laboratory)
90. Dynamic reinforcement learning reveals time-dependent shifts in strategy during reward learning
    Sarah Jo C Venditto, Kevin J. Miller, Carlos D. Brody, Nathaniel D. Daw · 2024 · eLife
91. Decision-making under uncertainty
    Rasmus Bruckner, Matthew R. Nassar · 2024 · Elsevier eBooks
92. Predicting human prediction error empowers reward learning task design
    Jae‐Hoon Shin, Jee Hang Lee, Sang Wan Lee · 2024 · bioRxiv (Cold Spring Harbor Laboratory)
93. Absence of Systematic Effects of Internalizing Psychopathology on Learning Under Uncertainty
    Muhammad H Satti, Katharina Wille, Matthew R. Nassar, Radoslaw Martin Cichy, Nicolas W. Schuck, Peter Dayan, Rasmus Bruckner · 2025 · bioRxiv (Cold Spring Harbor Laboratory)
94. Absence of Systematic Effects of Internalizing Psychopathology on Learning Under Uncertainty
    Muhammad H Satti, Katharina Wille, Matthew R. Nassar, Radoslaw Martin Cichy, Nicolas W. Schuck, Peter Dayan, Rasmus Bruckner · 2025 · eLife
95. Multi-area Decision Dynamics Across Human Cortex Shape Confidence
    Alessandro Toso, Ayelet Arazi, Jaime de la Rocha, Konstantinos Tsetsos, Tobias H. Donner · 2025 · bioRxiv (Cold Spring Harbor Laboratory)
96. Criteria and awareness in perceptual decision
    Stephen M. Fleming · 2011 · UCL Discovery (University College London)
97. Neuroeconomic studies on personality and decision making
    Daniel R. Hawes · 2013 · University of Minnesota Digital Conservancy (University of Minnesota)
98. The hierarchical organization of impulse control: Implications for decision making
    Christopher G. Coutlee · 2014 · DukeSpace (Duke University)
99. The ultimate limits of wireless networks
    Carles Antón‐Haro, Yonina C. Eldar, Laura Galluccio, George Iosifidis, Marios Kountouris, Iordanis Koutsopoulos, Javier Matamoros, Sergio Palazzo, Shlomo Shitz Shamai, Marc Belleville et al. · 2012 · Springer eBooks
100. Categorical perception in monkeys: modeling implicit learning of discrete categories
     Samarth Chandra, Mark A. G. Eldridge, Félix Hartmann, Narihisa Matsumoto, Barry J. Richmond, Jean‐Pierre Nadal · 2013 · BMC Neuroscience