Publikationen von P Dayan

Mobbs, D.; Trimmer, P.; Blumstein, D.; Dayan, P.: Foraging for foundations in decision neuroscience: insights from ethology. Nature Reviews Neuroscience 19 (7), S. 419 - 427 (2018)

Bicknell, B.; Pujic, Z.; Dayan, P.; Goodhill, G.: Control of neurite growth and guidance by an inhibitory cell-body signal. PLoS Computational Biology 14 (6), S. 1 - 25 (2018)

Iigaya, K.; Fonseca, M.; Murakami, M.; Mainen, Z.; Dayan, P.: An effect of serotonergic stimulation on learning rates for rewards apparent after long intertrial intervals. Nature Communications 9, 2477, S. 1 - 10 (2018)

Eldar, E.; Roth, C.; Dayan, P.; Dolan, R.: Decodability of reward learning signals predicts mood fluctuations. Current Biology 28 (9), S. 1433 - 1439 (2018)

Moran, R.; Kishida, K.; Lorenz, T.; Saez, I.; Laxton, A.; Witcher, M.; Tatter, S.; Ellis, T.; Phillips, P.; Dayan, P. et al.; Montague, P.: The Protective Action Encoding of Serotonin Transients in the Human Brain. Neuropsychopharmacology 43 (6), S. 1425 - 1435 (2018)

Hämmerer, D.; Callaghan, M.; Hopkins, A.; Kosciessa, J.; Betts, M.; Cardenas-Blanco, A.; Kanowski, M.; Weiskopf, N.; Dayan, P.; Dolan, R. et al.; Düzel, E.: Locus coeruleus integrity in old age is selectively related to memories linked with salient negative events. Proceedings of the National Academy of Sciences of the United States of America 115 (9), S. 2228 - 2233 (2018)

Hula, A.; Vilares, I.; Lohrenz, T.; Dayan, P.; Montague, P.: A model of risk and mental state shifts during social interaction. PLoS Computational Biology 14 (2), S. 1 - 20 (2018)

Lloyd, K.; Dayan, P.: Interrupting behaviour: Minimizing decision costs via temporal commitment and low-level interrupts. PLoS Computational Biology 14 (1), e1005916 (2018)

Rigoli, F.; Chew, B.; Dayan, P.; Dolan, R.: Learning contextual reward expectations for value adaptation. Journal of Cognitive Neuroscience 30 (1), S. 50 - 69 (2018)

Hauser, T.; Moutoussis, M.; NSPN Consortium; Dayan, P.; Dolan, R.: Increased decision thresholds trigger extended information gathering across the compulsivity spectrum. Translational Psychiatry 7, 1296 (2017)

Harper, R.; Ogueta, M.; Dayan, P.; Stanewsky, R.; Albert, J.: Light Dominates Peripheral Circadian Oscillations in Drosophila melanogaster During Sensory Conflict. Journal of Biological Rhythms 32 (5), S. 423 - 432 (2017)

Lally, N.; Huys, Q.; Eshel, N.; Faulkner, P.; Dayan, P.; Roiser, J.: The neural basis of aversive Pavlovian guidance during planning. The Journal of Neuroscience 37 (42), S. 10215 - 10229 (2017)

Mkrtchian, A.; Aylward, J.; Dayan, P.; Roiser, J.; Robinson, O.: Modelling avoidance in mood and anxiety disorders using reinforcement-learning. Biological Psychiatry 82 (7), S. 532 - 539 (2017)

Tarantola, T.; Kumaran, D.; Dayan, P.; De Martino, B.: Prior preferences beneficially influence social and non-social learning. Nature Communications 8, 817, S. 1 - 14 (2017)

de Boer, L.; Axelsson, J.; Riklund, K.; Nyberg, L.; Dayan, P.; Bäckman, L.; Guitart-Masip, M.: Attenuation of dopamine-modulated prefrontal value signals underlies probabilistic reward learning deficits in old age. eLife 6, e26424, S. 1 - 25 (2017)

Rutledge, R.; Moutoussis, M.; Smittenaar, P.; Zeidman, P.; Taylor, T.; Hrynkiewicz, L.; Lam, J.; Skandali, N.; Siegel, J.; Ousdal, O. et al.; Prabhu, G.; Dayan, P.; Fonagy, P.; Dolan, R.: Association of neural and emotional impacts of reward prediction errors with major depression. JAMA Psychiatry 74 (8), S. 790 - 797 (2017)

Jones, S.; Paul, E.; Dayan, P.; Robinson, E.; Mendl, M.: Pavlovian influences on learning differ between rats and mice in a counter-balanced Go/NoGo judgement bias task. Behavioral and Brain Sciences 331, S. 214 - 224 (2017)

Crockett, M.; Siegel, J.; Kurth-Nelson, Z.; Dayan, P.; Dolan, R.: Moral transgressions corrupt neural representations of value. Nature Neuroscience 20 (6), S. 879 - 885 (2017)

Bach, D.; Dayan, P.: Algorithms for survival: a comparative perspective on emotions. Nature Reviews Neuroscience 18 (5), S. 311 - 319 (2017)

Bramley, N.; Dayan, P.; Griffiths, T.; Lagnado, D.: Formalizing Neurath’s ship: Approximate algorithms for online causal learning. Psychological Review 124 (3), S. 301 - 338 (2017)