Publications of P Dayan

Alon, N.; Schulz, L.; Bell, V.; Moutoussis, M.; Dayan, P.; Barnby, J.: (Mal)adaptive Mentalizing in the Cognitive Hierarchy, and Its Link to Paranoia. Computational Psychiatry 8 (1), pp. 159 - 177 (2024)

Bröker, F.; Holt, L.; Roads, B.; Dayan, P.; Love, B.: Demystifying unsupervised learning: how it helps and hurts. Trends in Cognitive Sciences Epub ahead (2024)

Kind, A.; Dayan, P.: Two sub-cultures of explanatory computational psychiatry. Molecular Psychiatry Epub ahead (2024)

Neville, V.; Finnegan, E.; Paul, E.; Davidson, M.; Dayan, P.; Mendl, M.: You are How You Eat: Foraging Behavior as a Potential Novel Marker of Rat Affective State. Affective Science 5 (3), pp. 232 - 245 (2024)

Kang, P.; Tobler, P.; Dayan, P.: Bayesian reinforcement learning: A basic overview. Neurobiology of Learning and Memory 211, 107924 (2024)

Batten, S.; Bang, D.; Kopell, B.; Davies, A.; Heflin, M.; Fu, X.; Perl, O.; Ziafat, K.; Hashemi , A.; Saez, I. et al.; Barbosa, L.; Twomey, T.; Lohrenz, T.; White, J.; Dayan, P.; Charney, A.; Figee, M.; Mayberg, H.; Kishida, K.; Gu, X.; Kishida, P.: Dopamine and serotonin in human substantia nigra track social context and value signals during economic exchange. Nature Human Behaviour 8 (4), pp. 718 - 728 (2024)

Master, S.; Curtis, C.; Dayan, P.: Wagers for work: Decomposing the costs of cognitive effort. PLOS Computational Biology 20 (4), e1012060 (2024)

Neville, V.; Mendl, M.; Paul, E.; Seriès, P.; Dayan, P.: A primer on the use of computational modelling to investigate affective states, affective disorders and animal welfare in non-human animals. Cognitive, Affective and Behavioral Neuroscience 24 (2), pp. 370 - 383 (2024)

Muller, T.; Butler, J.; Veselic, S.; Miranda, B.; Wallis, J.; Dayan, P.; Behrens, T.; Kurth-Nelson, Z.; Kennerley , S.: Distributional reinforcement learning in prefrontal cortex. Nature Neuroscience 27 (3), pp. 403 - 408 (2024)

Brielmann, A.; Berentelg, M.; Dayan, P.: Modelling individual aesthetic judgements over time. Philosophical Transactions of the Royal Society of London, Series B: Biological Sciences 379 (1895), 20220414 (2024)

Kumar, P.; Dayan, P.; Wolfers, T.: From Complexity to Precision-Charting Decision-Making Through Normative Modeling. JAMA Psychiatry 81 (2), pp. 117 - 118 (2023)

Guitart-Masip, M.; Walsh, A.; Dayan, P.; Olsson, A.: Anxiety associated with perceived uncontrollable stress enhances expectations of environmental volatility and impairs reward learning. Scientific Reports 131 (1), 18451 (2023)

Lloyd, K.; Dayan, P.: Reframing dopamine: A controlled controller at the limbic-motor interface. PLoS Computational Biology 19 (10), e1011569 (2023)

Alon, N.; Schulz, L.; Rosenschein, J.; Dayan, P.: A (dis-)information Theory of Revealed and Unrevealed Preferences: Emerging Deception and Skepticism via Theory of Mind. Open mind: discoveries in cognitive science 7, pp. 608 - 624 (2023)

Wise, T.; Charpentier, C.; Dayan, P.; Mobbs, D.: Interactive cognitive maps support flexible behavior under threat. Cell Reports 42 (8), 113008 (2023)

Dayan, P.: Metacognitive Information Theory. Open mind: discoveries in cognitive science 7, pp. 392 - 411 (2023)

Roelofs, K.; Klaassen, F.; Dayan, P.: Reply to "Post-encounter freezing during approach-avoidance conflict: the role of the hippocampus". Nature Reviews Neuroscience 24 (7), pp. 453 - 454 (2023)

Jain, Y.; Callaway, F.; Griffiths, T.; Dayan, P.; Krueger, P.; Lieder, F.: A computational process-tracing method for measuring people’s planning strategies and how they change over time. Behavior Research Methods 55 (4), pp. 2037 - 2079 (2023)

Schulz, L.; Fleming, S.; Dayan, P.: Metacognitive Computations for Information Search: Confidence in Control. Psychological Review 130 (3), pp. 604 - 639 (2023)

Barnby, J.; Dayan, P.; Bell, V.: Formalising social representation to explain psychiatric symptoms. Trends in Cognitive Sciences 27 (3), pp. 317 - 332 (2023)