Publications of P Dayan

Dayan, P.: The long and the short of serotonergic stimulation: Selective effects on the learning rate of rewards. InstitutsSeminar Neurobiologie: Institute of Neurobiology, Eberhard-Karls Universität Tübingen, Tübingen, Germany (2018)

Dayan, P.: Mind Games: Recursive Predictions about Untrustworthy Intentional Others. 11th FENS Forum of Neuroscience, Bremen, Germany (2018)

Dayan, P.: Predicting and manipulating others. The Brain Conferences: Computational Neuroscience of Prediction , Rungstedgaard, Denmark (2018)

Preuschoff, K.; Dayan, P.: Tying it all together: Group Discussion & Closing Remarks. The Brain Conferences: Computational Neuroscience of Prediction , Rungstedgaard, Denmark (2018)

Dayan, P.; Keramati, M.; Smittenaar, P.; Dolan, R.: Betwixt fast and slow: Integrating model-free and model-based decision-making. 50th Annual Meeting of the Society for Mathematical Psychology, the European Mathematical Psychology Group, 15th Annual Meeting of the International Conference on Cognitive Modelling (MathPsych/ICCM 2017), Warwick, UK (2017)

Dayan, P.: The Consilience of Neural and Artificial Reinforcement Learning. Thirty-First AAAI Conference on Artificial Intelligence (AAAI-17), San Francisco, CA, USA (2017)

Dayan, P.: Exploration bonuses: Bayes and Beyond. Second Interdisciplinary Symposium on Information Seeking, Curiosity and Attention (Neurocuriosity 2016), London, UK (2016)

Dayan, P.: Normative Dysfunction: Why Bad Decisions Stay Bad. The Brain Conferences: New Insights into Psychiatric Disorders through Computational, Biological and Developmental Approaches, Copenhagen, Denmark (2016)

Dayan, P.: Heuristics of Control: Habitization, Fragmentation, Memorization and pruning. Symposium Plausible Neural Reinforcement Learning and Control, Amsterdam, The Netherlands (2015)

Dayan, P.: Stimulating Labour and Slothful Leisure. Fifth Symposium on Biology of Decision-Making (SBDM 2015) , Paris, France (2015)

Dayan, P.: Interactions between Model-free and Model-based Reinforcement Learning. 21st Annual Conference of the Japanese Neural Network Society (JNNS 2011), Okinawa, Japan (2011)

Dayan, P.: When good decisions go bad: Reinforcement learning and computational psychiatry. Donders Institute for Brain, Cognition and Behaviour: Donders Lecture, Nijmegen, The Netherlands (2011)

Dayan, P.: Polar Exploration. Exploration and Curiosity in Robot Learning and Inference (Dagstuhl Seminar 11131), Dagstuhl, Germany (2011)

Dayan, P.: Computational Models of Aversive Processing: Serotonin, Dopamine and Stress. 39th Annual General Meeting of the European Brain and Behaviour Society (EBBS 2007), Trieste, Italy (2007)

Dayan, P.: The Misbehaviour of Value and the Discipline of the Will. BCCN Sonderseminar: Max-Planck-Institut für Dynamik und Selbstorganisation , Göttingen, Germany (2006)

Dayan, P.: Uncertainty and Attention in Learning and Inference. OIST Computational Neuroscience Course (OCNC 2005), Okinawa, Japan (2005)

Lee, C.; Yokota, N.; Holobetz, C.; Williams, G.; Mehra, N.; Chaudhry, A.; Ton, J.; Dayan, P.; Kastner, D.: Differential utilization of hippocampal learning strategies as a source of individual differences within wild-type rats and those with a mutation to an ASD risk gene. 54th Annual Meeting of the Society for Neuroscience (Neuroscience 2025), San Diego, CA, USA (2025)

Wang, W.; Kaufmann, T.; Dayan, P.: Modelling Hybrid Sequential Biases in the Stop Signal Task: A Longitudinal Analysis using the ABCD study. 54th Annual Meeting of the Society for Neuroscience (Neuroscience 2025), San Diego, CA, USA (2025)

Kundu, D.; Panzeri, S.; Jost, J.; Dayan, P.: Revealing Synergistic Representations in Recurrent Neural Networks Using Partial Information Decomposition. Bernstein Conference 2025, Frankfurt/Main, Germany (2025)

Basgol, H.; Dayan, P.; Franz, V.: How many repetitions are needed to detect spatiotemporal visual regularities? 47th European Conference on Visual Perception (ECVP 2025), Mainz, Germany (2025)