Publications of P Dayan

Popple, A.; Dayan, P.; Li, Z.: V1 model predicts texture segmentation bias. 31st Annual Meeting of the Society for Neuroscience (Neuroscience 2001), San Diego, CA, USA (2001)

Kakade, S.; Dayan, P.: Opponent interactions between serotonin and dopamine for classical and operant conditioning. 30th Annual Meeting of the Society for Neuroscience (Neuroscience 2000), New Orleans, LA, USA (2000)

Dayan, P.: Reinforcing connectionism: learning the statistical way. Dissertation, University of Edinburgh, Edinburgh, UK (1991)

Mancinelli, F.; Roiser, J.; Dayan, P.: Subjective Beliefs In, Out, and About Control: A Quantitative Analysis. (submitted)

Kastner, D.; Miller, E.; Yang, Z.; Roumis, D.; Liu, D.; Frank, L.; Dayan, P.: Dynamic preferences account for inter-animal variability during the continual learning of a cognitive task. (submitted)

Iigaya, K.; Hauser, T.; Kurth-Nelson, Z.; O'Doherty, J.; Dayan, P.; Dolan, R.: Hippocampal-midbrain circuit enhances the pleasure of anticipation in the prefrontal cortex. (submitted)

Zhao, S.; Chait, M.; Dick, F.; Dayan, P.; Furukawa, S.; Liao, H.-I.: Phasic norepinephrine is a neural interrupt signal for unexpected events in rapidly unfolding sensory sequences: evidence from pupillometry. (submitted)

Danihelka, I.; Lakshminarayanan, B.; Uria, B.; Wierstra, D.; Dayan, P.: Comparison of Maximum Likelihood and GAN-based training of Real NVPs. (submitted)

Guez, A.; Silver, D.; Dayan, P.: Better Optimism By Bayes: Adaptive Planning with Rich Models. (submitted)

Wise, T.; Charpentier, C.; Dayan, P.; Mobbs, D.: Modeling the mind of a predator: Interactive cognitive maps support flexible avoidance of dynamic threats. (submitted)

Chebolu, S.; Dayan, P.; Lloyd, K.: Vigilance, arousal, and acetylcholine: Optimal control of attention in a simple detection task. (submitted)

Zamfir, E.; Dayan, P.: Interactions between attributions and beliefs at high temporal resolution: evidence from a novel task. (submitted)

Dubey, R.; Griffiths, T.; Dayan, P.: Why it is hard to be happy with what we have: A reinforcement learning perspective. (submitted)

Éltetö, N.; Nemeth, D.; Janacsek, K.; Dayan, P.: Tracking human skill learning with a hierarchical Bayesian sequence model. (submitted)

Machado Costa, K.; Scholz, R.; Lloyd, K.; Moreno-Castilla, P.; Gardner, M.; Dayan, P.; Schoenbaum, G.: The role of the orbitofrontal cortex in creating cognitive maps. (submitted)

Barnby, J.; Dean, R.; Burgess, H.; Kim, J.; Teunisse, A.; Mackenzie, L.; Robinson, G.; Dayan, P.; Richards, L.: Increased persuadability and credulity in people with corpus callosum dysgenesis. (submitted)

Barnby, J.; Raihani, N.; Dayan, P.: The self as a prior for the other: social learning under paranoia. (submitted)

Brielmann, A.; Dayan, P.: A computational model of aesthetic value. (submitted)

Dayan, P.: "Liking" as a First Draft of the Affective Future. (submitted)

Jain , Y.; Callaway, F.; Griffiths, T.; Dayan, P.; Krueger, P.; Lieder, F.: A Computational Process-Tracing Method for Measuring People’s Planning Strategies and How They Change Over Time. (submitted)