Publikationen von P Dayan

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)

Wu, S.; Thalmann, M.; Dayan, P.; Akata, Z.; Schulz, E.: Building, Reusing, and Generalizing Abstract Representations from Concrete Sequences. Thirteenth International Conference on Learning Representations (ICLR 2025), Singapore (2025)

Basgol, H.; Raab, F.; Dayan, P.; Franz, V.: Violations of spatiotemporal visual regularities lead to pupil dilation responsess. 67th Conference of Experimental Psychologists: TeaP 2025: Tagung experimentell arbeitender Psycholog:innen, Frankfurt/Main, Germany (2025)

Kastner, D.; Dayan, P.: Data-driven evaluation of interpretive framework for model-based planning. Computational and Systems Neuroscience Meeting (COSYNE 2025), Montreal, Canada (2025)

Pan Vazquez, A.; Zimmermann, C.; McMannon, B.; Louka, M.; West, S.; Faulkner, M.; International Brain Laboratory; Dayan, P.: Midbrain dopamine activity produces regionally localized decision substrates. Computational and Systems Neuroscience Meeting (COSYNE 2025), Montreal, Canada (2025)

Tessereau, C.; Xuan, F.; Mellor, J.; Dayan, P.; Dombeck, D.: Unpredictable Rewards, Predictable Maps: Reward uncertainty induces hippocampal place cell remapping in parallel reference-frames. Computational and Systems Neuroscience Meeting (COSYNE 2025), Montreal, Canada (2025)

Kastner, D.; Williams, G.; Holobetz, C.; Romano, J.; Dayan, P.: The choice-wide behavioral association study: data-driven identification of interpretable behavioral components. 63rd Annual Meeting of the American College of Neuropsychopharmacology (ACNP 2024), Phoenix, AZ, USA (2024)

Bucher, S.; Yan, Z.-Y.; Shen, B.; Dayan, P.; Glimcher, P.: Reward Prediction Updates: Tracking Changes in Reward Expectations. Annual Meeting of the Society of NeuroEconomics (SNE 2024), Cascais, Portugal (2024)

Chebolu, S.; Dayan, P.: Optimal and sub-optimal intertemporal decisions explain procrastination in a real-world task. Annual Meeting of the Society of NeuroEconomics (SNE 2024), Cascais, Portugal (2024)

Kastner, D.; Williams, G.; Holobetz, C.; Romano, J.; Dayan, P.: The choice-wide behavioral association study: data-driven identification of interpretable behavioral components. 53rd Annual Meeting of the Society for Neuroscience (Neuroscience 2024), San Diego, CA, USA (2024)

Yan, Z.-Y.; Bucher, S.; Shen, B.; Dayan, P.; Glimcher, P.: Reward Prediction Updates: What Happens When the Probability of Reward Changes. 53rd Annual Meeting of the Society for Neuroscience (Neuroscience 2024), San Diego, CA, USA (2024)

Ershadmanesh, S.; Rajabi, S.; Rostami, R.; Moran, R.; Dayan, P.: Noradrenergic and Dopaminergic modulation of control and metacontrol. 32nd Annual Computational Neuroscience Meeting (CNS*2023), Leipzig, Germany (2024)

Safavi, S.; Dayan, P.: A decision-theoretic approach to binocular rivalry. 32nd Annual Computational Neuroscience Meeting (CNS*2023), Leipzig, Germany (2024)