Publications of P Dayan

Binz, M.; Akata, E.; Bethge, M.; Brändle, F.; Callaway, F.; Coda-Forno, J.; Dayan, P.; Demircan, C.; Eckstein, M.; Éltetö, N. et al.; Griffiths, T.; Haridi, S.; Jagadish, A.; Li, J.-A.; Kipnis, A.; Kumar, S.; Ludwig, T.; Mathony, M.; Mattar, M.; Modirshanechi, A.; Nath, S.; Peterson, J.; Rmus, M.; Russek, E.; Saanum, T.; Schubert, J.; Schulze Buschoff, L.; Singhi, N.; Sui, X.; Thalmann, M.; Theis, F.; Truong, V.; Udandarao, V.; Voudouris, K.; Wilson, R.; Witte, K.; Wu, S.; Wulff, D.; Xiong, H.; Schulz, E.: A foundation model to predict and capture human cognition. Nature Epub ahead (2025)

Brochard, J.; Dayan, P.; Bach, D.: Critical intelligence: computing defensive behaviour. Neuroscience and Biobehavioral Reviews 174, 106213 (2025)

Granwald, T.; Dayan, P.; Lengyel, M.; Guitart-Masip, M.: A task-invariant prior explains trial-by-trial active avoidance behaviour across gain and loss tasks. Communications Psychology 3 (1), 82 (2025)

Schulz, L.; Schulz, E.; Bhui, R.; Dayan, P.: Mechanisms of Mistrust: A Bayesian Account of Misinformation Learning. PLOS Computational Biology 21 (5), e1012814 (2025)

Antonov, G.; Dayan, P.: Exploring Replay. Nature Communications 16 (1), 1657 (2025)

Basgol, H.; Dayan, P.; Franz, V.: Violation of Auditory Regularities is Reflected in Pupil Dynamics. Cortex 183, pp. 66 - 86 (2025)

Ershadmanesh, S.; Rajabi, S.; Rostami, R.; Moran, R.; Dayan, P.: Noradrenergic and Dopaminergic modulation of meta-cognition and meta-control. PLOS Computational Biology 21 (2), e1012675 (2025)

Solopchuk, O.; Dayan, P.: Multifaceted confidence in exploratory choice. PLOS ONE 20 (1), e0304923 (2025)

Kind, A.; Dayan, P.: Two sub-cultures of explanatory computational psychiatry. Molecular Psychiatry 29 (12), pp. 3928 - 3931 (2024)

Bröker, F.; Holt, L.; Roads, B.; Dayan, P.; Love, B.: Demystifying unsupervised learning: how it helps and hurts. Trends in Cognitive Sciences 28 (11), pp. 974 - 986 (2024)

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)

Nath, S.; Brändle, F.; Schulz, E.; Dayan, P.; Brielmann, A.: Relating Objective Complexity, Subjective Complexity and Beauty in Binary Pixel Patterns. Psychology of Aesthetics, Creativity, and the Arts 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)