Publikationen von P Dayan

Basgol, H.; Raab, F.; Dayan, P.; Franz, V.: Modality-general sensitivity of pupil responses to regularity violations. Cognitive, Affective and Behavioral Neuroscience Epub ahead (2026)

Ershadmanesh, S.; Gholamzadeh, A.; Desender, K.; Dayan, P.: Metacognitive efficiency in learned value-based choice. PLOS Computational Biology 22 (3), e1014108 (2026)

Alon, N.; Barnby, J.; Sarkadi, S.; Schulz, L.; Rosenschein, J.; Dayan, P.: ℵ-IPOMDP: Mitigating Deception in a Cognitive Hierarchy with Off-Policy Counterfactual Anomaly Detection. Journal of Artificial Intelligence Research 85, 14 (2026)

Granwald, T.; Triolo, F.; Lengyel, M.; Dayan, P.; Guitart-Masip, M.: Exploring the Link Between a Prior Belief for Active Avoidance and Apathy, Anhedonia, and Depression: A Network Analysis. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging 11 (2), S. 221 - 228 (2026)

Hall-McMaster, S.; Wittkuhn, L.; Verra, L.; Hedrich, N.; Irie, K.; Dayan, P.; Gershman, S.; Schuck, N.: Entorhinal Cortex Signals Dimensions of Past Experience That Can Be Generalized in a Novel Environment. The Journal of Neuroscience 46 (7), e1492252025 (2026)

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 20 (1), S. 238 - 254 (2026)

Sands, L.; Lei, H.; Batten, S.; Hartle, H.; Lohrenz, T.; Barbosa, L.; Bang, D.; Dayan, P.; Howe, W.; Smith, B. et al.; Montague, P.: Octopamine and tyramine dynamics predict learning rate phenotypes during associative conditioning in honey bees. Science Advances 12 (7), eaea8433 (2026)

Shani, D.; Dayan, P.: Composing egocentric and allocentric maps for flexible navigation. PLOS Computational Biology 22, e1013905 (2026)

Bruijns, S.; International Brain Laboratory; Bougrova, K.; Laranjeira, I.; Lau, P.; Meijer, G.; Miska, N.; Noel, J.-P.; Pan-Vazquez, A.; Roth, N. et al.; Socha, K.; Urai, A.; Dayan, P.: Infinite hidden Markov models can dissect the complexities of learning. Nature Neuroscience 29 (1), S. 186 - 194 (2026)

Mahajan, P.; Dayan, P.; Seymour, B.: Homeostasis After Injury: How Intertwined Inference and Control Underpin Post-Injury Pain and Behaviour. PLOS Computational Biology 22, e1013538 (2026)

Razavi, S.; Moutoussis, M.; Dayan, P.; Raihani, N.; Bell, V.; Barnby, J.: Pseudo-approaches lead to pseudo-explanations: reply to Corlett et al. Trends in Cognitive Sciences 29 (12), S. 1065 - 1066 (2025)

Shen, T.; Dayan, P.: Individual differences in tail risk sensitive exploration using Bayes-adaptive Markov decision processes. eLife 13, RP100366 (2025)

Valton, V.; Mkrtchian, A.; Moses-Payne, M.; Gray, A.; Kieslich, K.; VanUrk, S.; Samborska, V.; Halahakoon, D.; Manohar, S.; Dayan, P. et al.; Husain, M.; Roiser, J.: A computational approach to understanding effort-based decision-making in depression. Psychological Medicine 55, e302 (2025)

Findling, C.; Hubert, F.; International Brain Lab; Acerbi, L.; Benson, B.; Benson, J.; Birman, D.; Bonacchi, N.; Bruijns, S.; Carandini, M. et al.; Catarino, J.; Chapuis, G.; Churchland, A.; Dan, Y.; Davatolhagh, F.; DeWitt, E.; Engel, T.; Fabbri, M.; Faulkner, M.; Fiete, I.; Freitas-Silva, L.; Gercek, B.; Harris, K.; Häusser, M.; Hofer, S.; Hu, F.; Huntenburg, J.; Khanal, A.; Krasniak, C.; Langdon, C.; Latham, P.; Lau, P.; Mainen, Z.; Meijer, G.; Miska, N.; Mrsic-Flogel, T.; Noel, J.-P.; Nylund, K.; Pan-Vazquez, A.; Paninski, L.; Pillow, J.; Rossant, C.; Roth, N.; Schaeffer, R.; Schartner, M.; Shi, Y.; Socha, K.; Steinmetz, N.; Svoboda, K.; Tessereau, C.; Urai, A.; Wells, M.; West, S.; Whiteway, M.; Winter, O.; Witten, I.; Zador, A.; Zhang, Y.; Dayan, P.; Pouget, A.: Brain-wide representations of prior information in mouse decision-making. Nature 645 (8079), S. 192 - 200 (2025)

International Brain Laboratory; Benson, B.; Benson, J.; Birman, D.; Bonacchi, N.; Carandini, M.; Catarino, J.; Chapuis, G.; Churchland, A.; Dan, Y. et al.; Dayan, P.; DeWitt, E.; Engel, T.; Fabbri, M.; Faulkner, M.; Fiete, I.; Findling, C.; Freitas-Silva, L.; Gercek, B.; Harris, K.; Häusser, M.; Hofer, S.; Hu, F.; Hubert, F.; Huntenburg, J.; Khanal, A.; Krasniak, C.; Langdon, C.; Lau, P.; Mainen, Z.; Meijer, G.; Miska, N.; Mrsic-Flogel, T.; Noel, J.-P.; Nylund, K.; Pan-Vazquez, A.; Pouget, A.; Rossant, C.; Roth, N.; Schaeffer, R.; Schartner, M.; Shi, Y.; Socha, K.; Steinmetz, N.; Svoboda, K.; Urai, A.; Wells, M.; West, S.; Whiteway, M.; Winter, O.; Witten, I.: A Brain-Wide Map of Neural Activity during Complex Behaviour. Nature 645 (8079), S. 177 - 191 (2025)

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 644 (8078), S. 1002 - 1009 (2025)

Barnby, J.; Nguyen, J.; Griem, J.; Wloszek, M.; Burgess, H.; Richards, L.; Kingston, J.; Cooper, G.; Montague, P.; Dayan, P. et al.; Nolte, T.; Fonagy, P.; London Personality and Mood Disorders Consortium: Self-Other Generalisation Shapes Social Interaction and Is Disrupted in Borderline Personality Disorder. eLife 14, RP104008 (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)