Publications of P Dayan

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)

Chebolu, S.; Dayan, P.; Lloyd, K.: Fast ACh signals and the optimal control of attention in a detection task. Computational and Systems Neuroscience Meeting (COSYNE 2022), Lisboa, Portugal (2022)

Elteto, N.; Nemeth, D.; Janacsek, K.; Dayan, P.: Tracking human skill learning with a hierarchical Bayesian sequence model. Computational and Systems Neuroscience Meeting (COSYNE 2022), Lisboa, Portugal (2022)

Tano, P.; Dayan, P.; Pouget, A.: Automatic Task Decomposition using Compositional Reinforcement Learning. Computational and Systems Neuroscience Meeting (COSYNE 2022), Lisboa, Portugal (2022)

Basgol, H.; Dayan, P.; Franz, V.: Investigating pupil-linked arousal to complex and statistically uncertain auditory patterns. 64th Conference of Experimental Psychologists (TeaP 2022): Tagung experimentell arbeitender Psycholog:innen, Köln, Germany (2022)

Toro-Serey, C.; Tang, W.; Trambaiolli, L.; Dayan, P.; Haber, S.: ACC-striatal Projections are Uniquely Positioned to Interact With an Unusually Functionally Diverse Set of Cortical Areas. 60th Annual Meeting of the American College of Neuropsychopharmacology (ACNP 2021), San Juan, Puerto Rico (2021)

Costa, K.; Scholz, R.; Lloyd, K.; Gardner, M.; Dayan, P.; Schoenbaum, G.: The orbitofrontal cortex is necessary for forming outcome-specific representations during learning Add to Itinerary. 50th Annual Meeting of the Society for Neuroscience (Neuroscience 2021) (2021)