Publications of P Dayan

Gagne, C.; Dayan, P.: Avoidant behavior and pathological worry as optimal policies and optimal offline planning given individually exaggerated risk preferences. Bernstein Conference 2020 (2020)

Lekscha Sedlinska, T.; Brückner, L.; Hübner, M.; Rentsch, C.; Falke, D.; Mühle, C.; Suc, J.; Weinland, C.; Kornhuber, J.; Lenz, B. et al.; Dayan, P.: Temporal discounting in major depression. Bernstein Conference 2020 (2020)

Bröker, F.; Love, B.; Dayan, P.: Semi-Supervised Categorisation: Input Representations Determine Necessity of Feedback. 20th Conference of Junior Neuroscientists (NeNa 2019) , Schramberg, Germany (2019)

Bruijns, S.; Dayan, P.: Anticipating Every Turn: Learning About Learning in Mice. 20th Conference of Junior Neuroscientists (NeNa 2019) , Schramberg, Germany (2019)

Ahilan, S.; Dayan, P.: Feudal Multi-Agent Hierarchies for Cooperative Reinforcement Learning. 4th Multidisciplinary Conference on Reinforcement Learning and Decision Making (RLDM 2019), Montreal, Canada (2019)

Zhao, S.; Dick, F.; Dayan, P.; Furukawa, S.; Liao, H.; chait, M.: Phasic norepinephrine is a neural interrupt signal for unexpected events in rapidly unfolding sensory sequences: evidence from pupillometry. International Conference on Interdisciplenary Advances in Statistical Learning 2019, San Sebastián, Spain (2019)

Zhao, S.; Dick, F.; Dayan, P.; Furukawa, S.; Liao, H.; Chait, M.: Phasic norepinephrine is a neural interrupt signal for unexpected events in rapidly unfolding sensory sequences: evidence from pupillometry. Interdisciplinary Advances in Statistical Learning 2019, San Sebastián, Spain (2019)

Stojic, H.; Orquin, J.; Dayan, P.; Dolan, R.; Speekenbrink, M.: Rewards and uncertainty jointly drive the attention dynamics in reinforcement learning. Ninth International Symposium on Biology of Decision Making (SBDM 2019) , Oxford, UK (2019)

Zamfir, E.; Dayan, P.: The dynamical interaction between attribution and belief: Evidence from a novel task. Ninth International Symposium on Biology of Decision Making (SBDM 2019), Oxford, UK (2019)

Zhao, S.; Dick, F.; Dayan, P.; Furukawa, S.; Liao, H.-I.; Chait, M.: Phasic norepinephrine is a neural interrupt signal for unexpected events in rapidly unfolding sensory sequences: evidence from pupillometry. Ninth International Symposium on Biology of Decision Making (SBDM 2019), Oxford, UK (2019)

Dezfouli, A.; Griffiths, K.; Ramos, F.; Dayan, P.; Balleine, B.: Models that Learn how Humans Learn: The Case of Depression and Bipolar Disorders. Eighth International Symposium on Biology of Decision Making (SBDM 2018), Paris, France (2018)

Rouault, M.; Dayan, P.; Fleming, S.: Learning about Self-Performance in the Absence of Feedback. Eighth International Symposium on Biology of Decision Making (SBDM 2018), Paris, France (2018)

Valton, V.; Mkrtchian, A.; Payne, M.; Gray, A.; Samborska, V.; Van Urk, S.; Dayan, P.; Roiser, J.: Dissecting the contributions of rewards and effort on motivation. Computational and Systems Neuroscience Meeting (COSYNE 2018), Denver, CO, USA (2018)

Raposo, D.; Dayan, P.; Hassabis, D.; Battaglia, P.: A model of structure learning, inference, and generation for scene understanding. 39th Annual Meeting of the Cognitive Science Society (CogSci 2017), London, UK (2017)

Hauser, T.; Moutoussis, M.; Purg, N.; Dayan, P.; Dolan , R.: Noradrenaline modulates decision urgency during sequen-al informa-on gathering. 15th Annual Meeting of the Society for NeuroEconomics (SNE 2017), Toronto, Canada (2017)

Vilares, I.; Hula, A.; Nolte, T.; Cui, Z.; Lohrenz, T.; Dayan, P.; Montague, R.: Computa-onal phenotyping using a social hierarchy probe. 15th Annual Meeting of the Society for NeuroEconomics (SNE 2017), Toronto, Canada (2017)

Ahilan, S.; Solomon, R.; Conover, K.; Niyogi, R.; Shizgal, P.; Dayan, P.: Forgetful inference in a sophisticated world model. Conference on Cognitive Computational Neuroscience (CCN 2017), New York, NY, USA (2017)

Ahilan , S.; Solomon, R.; Conover, K.; Niyogi , R.; Shizgal, P.; Dayan, P.: Forgetful Inference in a Sophisticated World Model. 3rd Multidisciplinary Conference on Reinforcement Learning and Decision Making (RLDM 2017) , Ann Arbor, MI, USA (2017)

Lloyd, K.; Dayan, P.: Interrupting Options: Minimizing Decision Costs via Temporal Commitment and Low-Level Interrupt. 3rd Multidisciplinary Conference on Reinforcement Learning and Decision Making (RLDM 2017), Ann Arbor, MI, USA (2017)

Sezener, C.; Dayan, P.: Approximate Planning from Better Bounds on Q. 3rd Multidisciplinary Conference on Reinforcement Learning and Decision Making (RLDM 2017) , Ann Arbor, MI, USA (2017)