Publications of P Dayan

Éltetö, N.; Nemeth, D.; Janacsek, K.; Dayan, P.: Tracking human skill learning with a hierarchical Bayesian sequence model. PLoS Computational Biology 18 (11), e1009866 (2022)

Chebolu, S.; Dayan, P.; Lloyd, K.: Vigilance, arousal, and acetylcholine: Optimal control of attention in a simple detection task. PLoS Computational Biology 18 (10), e1010642 (2022)

Safavi, S.; Dayan, P.: Multistability, perceptual value, and internal foraging. Neuron 110 (19), pp. 3076 - 3090 (2022)

Roelofs, K.; Dayan, P.: Freezing revisited: coordinated autonomic and central optimization of threat coping. Nature Reviews Neuroscience 23 (9), pp. 568 - 580 (2022)

Zamfir, E.; Dayan, P.: Interactions between attributions and beliefs at trial-by-trial level: Evidence from a novel computer game task. PLoS Computational Biology 18 (9), e1009920 (2022)

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. Cortex 155, pp. 251 - 263 (2022)

Barnby, J.; Raihani, N.; Dayan, P.: Knowing me, knowing you: Interpersonal similarity improves predictive accuracy and reduces attributions of harmful intent. Cognition 225, 105098 (2022)

Castro-Rodrigues, P.; Akam, T.; Snorasson, I.; Camacho, M.; Paixão, V.; Maia, A.; Barahona-Corrêa, J.; Dayan, P.; Simpson, H.; Costa, R. et al.; Oliveira-Maia, A.: Explicit knowledge of task structure is a primary determinant of human model-based action. Nature Human Behaviour 6 (8), pp. 1126 - 1141 (2022)

Dubey, R.; Griffiths, T.; Dayan, P.: The pursuit of happiness: A reinforcement learning perspective on habituation and comparisons. PLoS Computational Biology 18 (8), e1010316 (2022)

Gagne, C.; Agai, S.; Ramiro, C.; Dayan, P.; Bishop, S.: Biased belief priors versus biased belief updating: Differential correlates of depression and anxiety. PLoS Computational Biology 18 (8), e1010176 (2022)

Lubianiker, N.; Paret, C.; Dayan, P.; Hendler, T.: Neurofeedback through the lens of reinforcement learning. Trends in Neurosciences 45 (8), pp. 579 - 593 (2022)

Brielmann, A.; Dayan, P.: A computational model of aesthetic value. Psychological Review Epub ahead (2022)

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. Behavior Research Methods Epub ahead (2022)

Bröker, F.; Love, B.; Dayan, P.: When unsupervised training benefits category learning. Cognition 221, 104984 (2022)

Kastner, D.; Miller, E.; Yang, Z.; Roumis, D.; Frank, L.; Dayan, P.: Spatial preferences account for inter-animal variability during the continual learning of a dynamic cognitive task. Cell Reports 39 (3), 110708 (2022)

Gagne, C.; Dayan, P.: Peril, Prudence and Planning as Risk, Avoidance and Worry. Journal of Mathematical Psychology 106 (2022)

Antonov, G.; Gagne, C.; Eldar, E.; Dayan, P.: Optimism and Pessimism in Optimised Replay. PLoS Computational Biology 18 (1) (2022)

Dayan, P.: “Liking” as an early and editable draft of long-run affective value. PLoS Biology 20 (1), e3001476 (2022)

Berridge, K.; Dayan, P.: Liking. Current Biology 31 (24), pp. R1555 - R1557 (2021)

Deserno, L.; Moran, R.; Michely, J.; Lee, Y.; Dayan, P.; Dolan, R.: Dopamine enhances model-free credit assignment through boosting of retrospective model-based inference. eLife 10 (2021)