Publikationen von P Dayan

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), S. 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), S. 579 - 593 (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), S. 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)

Neville, V.; Dayan, P.; Gilchrist, I.; Paul, E.; Mendl, M.: Using Primary Reinforcement to Enhance Translatability of a Human Affect and Decision-Making Judgment Bias Task. Journal of Cognitive Neuroscience 33 (12), S. 2523 - 2535 (2021)

Na, S.; Chung, D.; Hula, A.; Perl, O.; Jung, J.; Heflin, M.; Blackmore , S.; Fiore, V.; Dayan, P.; Gu, X.: Humans use forward thinking to exploit social controllability. eLife 10 (2021)

Hall-McMaster , S.; Dayan, P.; Schuck, N.: Control over patch encounters changes foraging behavior. iScience 24 (9), 103005 (2021)

Hall-McMaster, S.; Dayan, P.; Schuck, N.: Control over patch encounters changes foraging behaviour. iScience 24 (9), 103005 (2021)

Silston, B.; Wise, T.; Qi, S.; Sui, X.; Dayan, P.; Mobbs, D.: Neural encoding of perceived patch value during competitive and hazardous virtual foraging. Nature Communications 12, 5478 (2021)

Mancinelli, F.; Roiser, J.; Dayan, P.: Internality and the internalisation of failure: Evidence from a novel task. PLoS Computational Biology 17 (7), S. 1 - 25 (2021)

Moran, R.; Dayan, P.; Dolan, R.: Efficiency and prioritization of inference-based credit assignment. Current Biology 31 (13), S. 2747 - 2756 (2021)

Dayan, P.: When will's wont wants wanting. Behavioral and Brain Sciences 44, e35 (2021)

Akam, T.; Rodrigues-Vaz, I.; Marcelo , I.; Zhang, X.; Pereira, M.; Freire Oliveira , R.; Dayan, P.; Costa, R.: The Anterior Cingulate Cortex Predicts Future States to Mediate Model-Based Action Selection. Neuron 109 (1), S. 149 - 163 (2021)