Publications of P Dayan

Schad, D.; Rapp, M.; Garbusow, M.; Nebe, S.; Krömer, N.; Smolka, M.; Schlagenhauf, F.; Heinz, A.; Dayan, P.; Huys, Q.: Human sign- but not goaltrackers show a Nucleus accumbens response to Pavlovian cues. Seventh International Symposium on Biology of Decision Making (SBDM 2017), Bordeaux, France (2017)

Vilares, I.; Nolte, T.; Hula, A.; Cui, Z.; Fonagy, P.; Lohrenz, T.; Dayan, P.; Zhu, L.; Chiu, P.; King-Casas, B. et al.; Montague, R.: Computational phenotyping using a social hierarchy probe. Seventh International Symposium on Biology of Decision Making (SBDM 2017), Bordeaux, France (2017)

Bicknell, B.; Dayan, P.; Goodhill, G.: Sensitivity and Robustness in an Axon Guidance Signaling System. 61st Annual Meeting of the Biophysical Society, New Orleans, LA, USA (2017)

Vilares, I.; Nolte, T.; Hula, A.; Cui, Z.; Fonagy, P.; Lohrenz, T.; Zhu, L.; Chiu, P.; King-Casas, B.; Dayan, P. et al.; Montague, R.: Distinguishing different psychiatric populations based on a social hierarchy paradigm. 14th Annual Meeting of the Society for NeuroEconomics (SNE 2016), Berlin, Germany (2016)

Vilares, I.; Nolte, T.; Hula, A.; Cui, Z.; Fonagy, P.; Lohrenz, T.; Zhu, L.; Chiu, P.; King-Casas, B.; Dayan, P. et al.; Montague, R.: Distinguishing different psychiatric populations based on a social hierarchy paradigm. 14th Annual Meeting of the Society for NeuroEconomics (SNE 2016), Berlin, Germany (2016)

Iigaya, K.; Kurth-Nelson, Z.; Story, G.; Dolan, R.; Dayan, P.: Observing seeking observing: How prediction errors boost anticipation. Computational and Systems Neuroscience Meeting (COSYNE 2016), Salt Lake City, UT, USA (2016)

Lloyd, K.; Dayan, P.: Ramping up to an explanation of accumbens dopamine signals. Computational and Systems Neuroscience Meeting (COSYNE 2016), Salt Lake City, UT, USA (2016)

Moutoussis, M.; Dolan, R.; Dayan, P.: Using social information to infer on one’s own taste in the important case of temporal discounting. Computational and Systems Neuroscience Meeting (COSYNE 2016), Salt Lake City, UT, USA (2016)

Kurth-Nelson, Z.; Barnes, g.; Sejdinovic, D.; Dolan, R.; Dayan, P.: Temporal structure in associative retrieval. 2nd Multidisciplinary Conference on Reinforcement Learning and Decision Making (RLDM 2015), Edmonton, AB, Canada (2015)

Lloyd, K.; Dayan, P.: Pre-response dopamine transients in the nucleus accumbens. 2nd Multidisciplinary Conference on Reinforcement Learning and Decision Making (RLDM 2015), Edmonton, AB, Canada (2015)

Mendl, M.; Paul, E.; Jones, S.; Jolivald, A.; Gilchrist, I.; Iigaya, K.; Dayan, P.: Cognitive biases: dissecting the influence of affect on decision-making under ambiguity inhumans and animals. 2nd Multidisciplinary Conference on Reinforcement Learning and Decision Making (RLDM 2015), Edmonton, AB, Canada (2015)

Pietras, B.; Dayan, P.; Stalnaker, T.; Schoenbaum, G.; Yu, T.-L.: Contingency and Correlation in Reversal Learning. 2nd Multidisciplinary Conference on Reinforcement Learning and Decision Making (RLDM 2015), Edmonton, AB, Canada (2015)

Rigoli, F.; Chew, B.; Dayan, P.; Dolan, R.: The dopaminergic midbrain mediates an effect of average reward on Pavlovian vigour. 2nd Multidisciplinary Conference on Reinforcement Learning and Decision Making (RLDM 2015), Edmonton, AB, Canada (2015)

Ahn, W.-Y.; Dayan, P.; Hill, K.; Lohrenz, T.; Montague, R.: Neural Mechanisms of Overcoming Pavlovian Biases. 1st Multidisciplinary Conference on Reinforcement Learning and Decision Making (RLDM 2013) , Princeton, NJ, USA (2013)

Guez, A.; Niyogi, R.; Bach, D.; Guitart-Masip, M.; Dolan, R.; Dayan, P.: A normative theory of approach-avoidance conflicts during dynamic foraging in humans. 1st Multidisciplinary Conference on Reinforcement Learning and Decision Making (RLDM 2013) , Princeton, NJ, USA (2013)

Guez, A.; Silver, D.; Dayan, P.: Towards a practical Bayes-optimal agent. 1st Multidisciplinary Conference on Reinforcement Learning and Decision Making (RLDM 2013) , Princeton, NJ, USA (2013)

Huys, Q.; Lally, N.; Falkner, P.; Gershman, P.; Dayan, P.; Roiser, J.: Hierarchical deconstruction and memoization of goal-directed plans. 1st Multidisciplinary Conference on Reinforcement Learning and Decision Making (RLDM 2013) , Princeton, NJ, USA (2013)

Kurth-Nelson, Z.; Penny, W.; Huys, Q.; Guitart-Masip, M.; Jafarpour, A.; Hassabis, D.; Barnes, G.; Dolan, R.; Dayan, P.: Decoding future state representations during planning. 1st Multidisciplinary Conference on Reinforcement Learning and Decision Making (RLDM 2013) , Princeton, NJ, USA (2013)

Miranda, B.; Malalasekera, N.; Dayan, P.: The role of prefrontal cortex and basal ganglia in model-based and model-free reinforcement learning. 1st Multidisciplinary Conference on Reinforcement Learning and Decision Making (RLDM 2013) , Princeton, NJ, USA (2013)

Rigoli, F.; Dayan, P.; Dolan, R.: The effect of reward-rescaling on risk preference. 1st Multidisciplinary Conference on Reinforcement Learning and Decision Making (RLDM 2013) , Princeton, NJ, USA (2013)