Decision theory, reinforcement learning, and the brain

Cited by (583)

Items 301–400 of 583

1. Cortical astrocytes extend phasic norepinephrine signals and critically mediate learned behavior
   Gabrielle T Drummond, Arundhati Natesan, Marco Celotto, Jiho Park, Jennifer Shih, Prachi Ojha, Yuma Osako, Giselle Fernandes, Kyle R. Jenks, Grayson O. Sipe et al. · 2024 · bioRxiv (Cold Spring Harbor Laboratory)
2. Dopaminergic and prefrontal dynamics co-determine mouse decisions in a spatial gambling task
   Elise Bousseyrol, Steve Didienne, Samir Takillah, Clément Solié, Maxime Côme, Tarek Ahmed Yahia, Sarah Mondoloni, Éléonore Vicq, Ludovic Tricoire, Alexandre Mourot et al. · 2023 · Cell Reports
3. The Neural Inhibition of Learning Increases Asset Market Bubbles: Experimental Evidence
   Levan Efremidze, George Sarraf, Karen A. Miotto, Paul J. Zak · 2017 · Journal of Behavioral Finance
4. A Probabilistic Model of Social Decision Making based on Reward Maximization
   Koosha Khalvati, Seongmin A. Park, Jean‐Claude Dreher, Rajesh P. N. Rao · 2016 · neural information processing systems
5. Learning Models in Decision Making
   Timothy Joseph Pleskac · 2015 · Wiley eBooks
6. Action chunking as conditional policy compression
   Lai, Lucy, Huang, Ann Zixiang, Gershman, Samuel J. · 2022
7. Research on Efficient Reinforcement Learning for Adaptive Frequency-Agility Radar
   Xinzhi Li, Shengbo Dong · 2021 · Sensors
8. Egocentric value maps of the near-body environment
   Rory John Bufacchi, Richard Somervail, Aoife M. Fitzpatrick, Y Murayama, Nikos K. Logothetis, Roberto Caminiti, Gian Domenico Iannetti · 2025 · Nature Neuroscience
9. Introspective inference counteracts perceptual distortion
   Andra Mihali, Marianne D. Broeker, Florian D. M. Ragalmuto, Guillermo Horga · 2023 · Nature Communications
10. Spike-based Decision Learning of Nash Equilibria in Two-Player Games
    Johannes H. Friedrich, Walter Senn · 2012 · PLoS Computational Biology
11. Rodent Models of Adaptive Value Learning and Decision-Making
    Alicia Izquierdo, Claudia Aguirre, Evan E. Hart, Alexandra Stolyarova · 2019 · Methods in molecular biology
12. Motor Program Transformation of Throwing Dart from the Third-Person Perspective
    А. В. Тумялис, A. S. Smirnov, Kirill A. Fadeev, Tatiana Alikovskaia, Pavel Pavlovich Khoroshikh, Alexander Sergievich, Kirill Sergeevich Golokhvast · 2020 · Brain Sciences
13. Identifying Resource-Rational Heuristics for Risky Choice
    Paul M. Krueger, Frederick Callaway, Sayan Gul, Thomas L. Griffiths, Falk Lieder · 2022
14. Inverse Rational Control with Partially Observable Continuous Nonlinear Dynamics
    Saurabh Daptardar, Paul Schrater, Xaq Pitkow · 2019 · arXiv (Cornell University)
15. Leveraging control priors in deep reinforcement learning for robotics
    Krishan Rana · 2023 · Queensland University of Technology
16. Eye movements reflect active statistical learning
    József Arató, Constantin A. Rothkopf, József Fiser · 2024 · Journal of Vision
17. Influence of surprise on reinforcement learning in younger and older adults
    Christoph Koch, Ondrej Zika, Rasmus Bruckner, Nicolas W. Schuck · 2024 · PLoS Computational Biology
18. Theory of Mind and Joint Attention
    Jairo Pérez-Osorio, Eva Wiese, Agnieszka Wykowska · 2021 · ACM eBooks
19. Modeling Perceptual Learning as a Continuous Function of Time-on-Task Increases Theoretical Specificity and Statistical Power
    Aaron Cochrane, Zhong‐Lin Lu, C. Shawn Green · 2024 · Journal of Cognitive Enhancement
20. Behavior engineering using quantitative reinforcement learning models
    Ohad Dan, Ori Plonsky, Yonatan Loewenstein · 2025 · Nature Communications
21. Value Learning and Arousal in the Extinction of Probabilistic Rewards: The Role of Dopamine in a Modified Temporal Difference Model
    Minryung R. Song, Jean‐Marc Fellous · 2014 · PLoS ONE
22. Children adapt drawing actions to their own motor variability and to the motivational context of action
    Siti Rohkmah Mohd Shukri, Andrew Howes · 2019 · International Journal of Human-Computer Studies
23. How to Make the Most out of Very Little
    Charles D Yang · 2019 · Topics in Cognitive Science
24. Differences in visually induced MEG oscillations reflect differences in deep cortical layer activity
    Dimitris A. Pinotsis, Earl K. Miller · 2020 · Communications Biology
25. Computational Model of the Transition from Novice to Expert Interaction Techniques
    Gilles Bailly, Mehdi Khamassi, Benoît Girard · 2022 · ACM Transactions on Computer-Human Interaction
26. Stock Price Formation: Precepts from a Multi-Agent Reinforcement Learning Model
    Johann Lussange, Stefano Vrizzi, Sacha Bourgeois‐Gironde, Stefano Palminteri, Boris S Gutkin · 2022 · Computational Economics
27. Modeling the value-based decision to consume alcohol in response to emotional experiences.
    Jonas Dora, Amber Copeland, Matt Field, Kevin Michael King · 2023 · Experimental and Clinical Psychopharmacology
28. High-order feature-based mixture models of classification learning predict individual learning curves and enable personalized teaching
    Yarden Cohen, Elad Schneidman · 2012 · Proceedings of the National Academy of Sciences
29. Ventral striatum lesions do not affect reinforcement learning with deterministic outcomes on slow time scales.
    Raquel M. Vicario-Feliciano, Elisabeth A. Murray, Bruno B. Averbeck · 2017 · Behavioral Neuroscience
30. Intuitive physical reasoning about objects’ masses transfers to a visuomotor decision task consistent with Newtonian physics
    Nils Neupärtl, Fabian Tatai, Constantin A. Rothkopf · 2020 · PLoS Computational Biology
31. Neural basis of learning guided by sensory confidence and reward value
    Armin Lak, Michael Okun, Morgane M. Moss, Harsha Gurnani, Karolina Farrell, Miles J. Wells, Charu Bai Reddy, Ádám Kepecs, Kenneth D Harris, Matteo Carandini · 2018 · bioRxiv (Cold Spring Harbor Laboratory)
32. Differences in Learning Across the Lifespan Emerge via Resource-Rational Computations
    Rasmus Bruckner, Matthew R. Nassar, Shu Li, Ben Eppinger · 2020
33. Modelling Rumination as a State-Inference Process
    Rachel L Bedder, Sashank Pisupati, Yael Niv · 2023
34. Pupil size predicts the onset of exploration and changes in prefrontal dynamics
    Akram Shourkeshti, Mojtaba Abbaszadeh, Gabriel Marrocco, Katarzyna Jurewicz, Tirin Moore, R. Becket Ebitz · 2023 · bioRxiv (Cold Spring Harbor Laboratory)
35. Representation learning with reward prediction errors
    William H. Alexander, Samuel Joseph Gershman · 2022 · Neurons Behavior Data analysis and Theory
36. Bayesian updating for self-assessment explains social dominance and winner–loser effects
    Ammon D. Perkes, Kate L. Laskowski · 2025 · Animal Behaviour
37. Heuristics contribute to sensorimotor decision-making under risk
    Tyler J. Adkins, Richard L. Lewis, Taraz G. Lee · 2021 · Psychonomic Bulletin & Review
38. Limitations of a proposed correction for slow drifts in decision criterion
    Diksha Gupta, Carlos D. Brody · 2022 · Neurons Behavior Data analysis and Theory
39. A Survey on Utilizing Reinforcement Learning in Wireless Sensor Networks Routing Protocols
    Ali Forghani Elah Abadi, Seyedeh Elham Asghari, Sepideh Sharifani, Seyyed Amir Asghari, Mohammadreza Binesh Marvasti · 2022 · International Conference on Information and Knowledge Technology (IKT)
40. Amortised Experimental Design and Parameter Estimation for User Models of Pointing
    Antti Keurulainen, Isak Westerlund, Oskar Keurulainen, Andrew Howes · 2023 · CHI Conference on Human Factors in Computing Systems
41. For a Few Neurons More: Tractability and Neurally Informed Economic Modelling
    Matteo Colombo · 2014 · The British Journal for the Philosophy of Science
42. Modelling stock-market investors as Reinforcement Learning agents
    Alvin Pastore, Umberto Esposito, Eleni Vasilaki · 2015 · IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS)
43. Being a Beast Machine
    Anil K. Seth · 2019 · Oxford University Press eBooks
44. Statistical decision theory and multiscale analyses of human brain data
    Dimitris A. Pinotsis · 2020 · Journal of Neuroscience Methods
45. The Mind as a Predictive Modelling Engine: Generative Models, Structural Similarity, and Mental Representation
    Williams, Daniel George · 2018 · Apollo (University of Cambridge)
46. Neuronal activity and learning in local cortical networks are modulated by the action-perception state
    Ben Engelhard, Ran Darshan, Nofar Ozeri-Engelhard, Zvi H. Israel, Uri Werner-Reiss, David Hansel, Hagai Bergman, Eilon Vaadia · 2019 · bioRxiv (Cold Spring Harbor Laboratory)
47. Neural signatures of model-free learning when avoiding harm to self and other
    Patricia L. Lockwood, Miriam C. Klein-Flügge, Ayat Abdurahman, Molly J. Crockett · 2019 · bioRxiv (Cold Spring Harbor Laboratory)
48. Where does value come from?
    Keno Juechems, Christopher Summerfield · 2019
49. Searching for avalanche clues — An exploratory comparison of professional and recreational use of snow, terrain, and group factors
    Lauri Ahonen, Markus Landrø, Guang Rong, Gerit Pfuhl, Andréa Mannberg, Audun Hetland, Benjamin Ultan Cowley · 2025 · Journal of Outdoor Recreation and Tourism
50. Reinforcement Learning and Decision Making in Anorexia Nervosa
    Christina E. Wierenga, Carina S. Brown, Erin E. Reilly · 2025 · Current Psychiatry Reports
51. Response Time Distributions and the Accumulation of Visual Evidence in Freely Moving Mice
    Mario Treviño, Ricardo Medina‐Coss y León, Elí Lezama · 2022 · Neuroscience
52. Model-based prioritization for acquiring protection
    Sarah M. Tashjian, Toby Wise, Dean Mobbs · 2022 · PLoS Computational Biology
53. Secondary motor cortex tracks decision value during the learning of a non-instructed task
    Elisabete Augusto, Vladimir Kouskoff, Nicolas Chenouard, Margaux Giraudet, Léa Peltier, Aron de Miranda, Alexy Louis, Lucille Alonso, Frédéric Gambino · 2025 · Cell Reports
54. Precision-dependent modulation of social attention
    Wenhui Gao, Changbo Zhu, Bailu Si, Liqin Zhou, Ke Zhou · 2025 · NeuroImage
55. Action chunking as conditional policy compression
    Lucy Lai, Ann Zixiang Huang, Samuel Joseph Gershman · 2025 · Cognition
56. An experimental investigation into the effect of negative affect on the behavioral economic demand for alcohol.
    Jonas Dora, Adam M. Kuczynski, Megan Elizabeth Schultz, Samuel F. Acuff, James G. Murphy, Kevin Michael King · 2022 · Psychology of Addictive Behaviors
57. Neuroprotection in late life attention-deficit/hyperactivity disorder: A review of pharmacotherapy and phenotype across the lifespan
    Cintya Nirvana Dutta, Leonardo Christov‐Moore, Hernando Ombao, Pamela K. Douglas · 2022 · Frontiers in Human Neuroscience
58. Visuospatial information foraging describes search behavior in learning latent environmental features
    David L. Barack, Akram Bakkour, Daphna Shohamy A, C. Daniel Salzman · 2023 · Scientific Reports
59. Change in motivational bias during treatment predicts outcome in anorexia nervosa
    Sophie R. Abber, Susan M. Murray, Carina S. Brown, Christina E. Wierenga · 2024 · International Journal of Eating Disorders
60. Hidden Markov Model for Human Decision Process in a Partially Observable Environment
    Masahiro Adomi, Yumi Shikauchi, Shin Ishii · 2010 · Lecture notes in computer science
61. Sensor integration in KIV brain model for decision making
    Roman Ilin, Róbert Kozma · 2009 · International Joint Conference on Neural Networks (IJCNN)
62. How cognitive biases select for imperfect mimicry: a study of asymmetry in learning with bumblebees
    David William Kikuchi, Anna Dornhaus · 2018 · Animal Behaviour
63. A Computational Framework for the Study of Confidence Across Species
    Ádám Kepecs, Zachary F. Mainen · 2014 · Springer eBooks
64. Learning How to Select an Action: A Computational Model
    Berat Denizdurduran, Neslihan Serap Şengör · 2012 · Lecture notes in computer science
65. Cognitive Science should be unified: comment on Griffiths et al. and McClelland et al.
    Jerome A. Feldman · 2010 · Trends in Cognitive Sciences
66. Bayesian Inference of Other Minds Explains Human Choices in Group Decision Making
    Koosha Khalvati, Seongmin A. Park, Saghar Mirbagheri, Rémi Philippe, Mariateresa Sestito, Jean‐Claude Dreher, Rajesh P. N. Rao · 2018 · bioRxiv (Cold Spring Harbor Laboratory)
67. Models and Methods for Reinforcement Learning
    Peter Dayan, Hiroyuki Nakahara · 2018 · Wiley eBooks
68. Being a beast machine: The origins of selfhood in control-oriented interoceptive inference
    Anil K. Seth · 2018
69. Measuring Sequences of Representations with Temporally Delayed Linear Modelling
    Yunzhe Liu, Raymond J. Dolan, Héctor Penagos, Zeb L. Kurth-Nelson, Timothy E.J. Behrens · 2020 · bioRxiv (Cold Spring Harbor Laboratory)
70. Trust in AI is dynamically updated based on users' expectations
    Patrick S. Cooper, Alyssa Lim, Jessica L. Irons, Melanie J. McGrath, Huw Jarvis, Andreas Duenser · 2025 · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA)
71. Cognitive modeling of real-world behavior for understanding mental health
    Dan-Mircea Mirea, Erik C Nook, Yael Niv · 2025 · Trends in Cognitive Sciences
72. The Art of Balance - Problem-Solving vs. Pattern-Recognition
    Martyn Lloyd-Kelly, Fernand R. Gobet, Peter C. R. Lane · 2015 · International Conference on Agents and Artificial Intelligence (ICAART)
73. Learning to Drive Using Sparse Imitation Reinforcement Learning
    Yuci Han, Alper Yılmaz · 2022 · Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition
74. The detection of automatic behavior in other people.
    Tomer David Ullman, Ilona Bass · 2024 · American Psychologist
75. Intelligent Inventory Control via Ruminative Reinforcement Learning
    Tatpong Katanyukul, Edwin K. P. Chong · 2014 · Journal of Applied Mathematics
76. Attention as Reward-Driven Optimization of Sensory Processing
    Matthew Chalk, Iain Murray, Peggy Seriès · 2013 · Neural Computation
77. The Scylla and Charybdis of Neuroeconomic Approaches to Psychopathology
    P. Read Montague · 2012 · Biological Psychiatry
78. A Comparison of Human and Agent Reinforcement Learning in Partially Observable Domains
    Finale Doshi‐Velez, Zoubin Ghahramani A · 2011 · eScholarship (California Digital Library)
79. Neurobiologically Inspired Self-Monitoring Systems
    Andrea A. Chiba, Jeffrey L. Krichmar · 2020 · Proceedings of the IEEE
80. The Prominent Deck B Phenomenon in Schizophrenia: An Empirical Study on Iowa Gambling Task
    Mei Xu, We-Kang Lee, Chih‐Hung Ko, Yao-Chu Chiu, Ching-Hung Lin · 2021 · Frontiers in Psychology
81. Introduction
    Tobias Kalenscher A, Philippe N. Tobler · 2008 · Cognitive Affective & Behavioral Neuroscience
82. Deep Boltzmann Machines as Hierarchical Generative Models of Perceptual Inference in the Cortex
    David Reichert · 2012 · ERA
83. Decision-Making under Uncertainty
    Rasmus Bruckner, Matthew R. Nassar · 2024
84. Explaining crowdworker behaviour through computational rationality
    Michael A. Hedderich, Antti Oulasvirta · 2024 · Behaviour and Information Technology
85. Computational elements of natural vision
    Constantin A. Rothkopf, Mary Hayhoe · 2025 · Journal of Vision
86. Improved Task Performance, Low Workload, and User-Centered Design in Medical Diagnostic Equipment Enhance Decision Confidence of Anesthesia Providers: A Meta-Analysis and a Multicenter Online Survey
    Alexandra D. Budowski, Lisa Bergauer, Clara Castellucci, Julia Braun, Christoph Beat Nöthiger, Donat Rudolf Spahn, David Werner Tscholl, Tadzio R. Roche · 2022 · Diagnostics
87. Importance of prefrontal meta control in human-like reinforcement learning
    Jee Hang Lee, Joel Z. Leibo, Su-Jin An, Sang Wan Lee · 2022 · Frontiers in Computational Neuroscience
88. Arc regulates a second-guessing cognitive bias during naturalistic foraging through effects on discrete behavior modules
    Alicia Ravens, Cornelia Stacher Hörndli, Jared Emery, Susan Steinwand, Jason D. Shepherd, Christopher J. Gregg · 2023 · iScience
89. Moving Behavioral Experimentation Online: A Tutorial and Some Recommendations for Drift Diffusion Modeling
    Xuanjun Gong, Richard Huskey · 2023 · American Behavioral Scientist
90. Cascade or updown sliding: the influence of interactive interface of short video app on information processing and user experience
    Ya Yambao Yang, Bingyue Yu, Guoming Yu · 2024 · International Communication of Chinese Culture
91. Reservoir controllers design though robot-reservoir timescale alignment
    Fan Ye, Arsen Abdulali, Kai-Fung Chu, Xiao-Ping Steven Zhang, Fumiya Iida A · 2025 · Communications Engineering
92. Adapting without reinforcement
    Aaron Kheifets, Charles Randy Gallistel · 2012 · Communicative & Integrative Biology
93. An informatics approach to examine decision-making impairments in the daily life of individuals with depression
    Haomiao Jin, Surabhi S Nath, Stefan Schneider, Doerte U. Junghaenel, Shinyi Wu, Charles D. Kaplan · 2021 · Journal of Biomedical Informatics
94. Predictions about reward outcomes in rhesus monkeys.
    Yiyun Huang, Hayoung Chang, Laurie R. Santos, Alexandra G. Rosati · 2023 · Behavioral Neuroscience
95. A cybernetical perspective on emotion-cognition interactions as self-directed adaptation in situated decision-makers
    Moritz Schneider · 2018 · Cognitive Systems Research
96. Attention, Information-Seeking, and Active Sampling
    Avanti Dey, Jacqueline P. Gottlieb · 2019 · Cambridge University Press eBooks
97. The value prescription: Relative value theorem as a call to action
    Greg L. Alston, J Blizzard · 2011 · Research in Social and Administrative Pharmacy
98. Computational Neuroscience for Advancing Artificial Intelligence
    Eduardo Alonso, Esther Mondragón · 2011 · IGI Global eBooks
99. The Importance of Group Specification in Computational Modelling of Behaviour
    Vincent Valton, Toby Wise, Oliver Joe Robinson · 2020
100. Internal States Emerge Early During Learning of a Perceptual Decision-Making Task
     Lenca Cuturela, Jonathan W. Pillow · 2024 · bioRxiv (Cold Spring Harbor Laboratory)