Publikationen von P Dayan

Wise, T.; Michely, J.; Dayan, P.; Dolan, R.: A computational account of threat-related attentional bias. PLoS Computational Biology 15 (10), S. 1 - 21 (2019)

Zhao, S.; Chait, M.; Dick, F.; Dayan, P.; Furukawa, S.; Liao, H.: Pupil-linked phasic arousal evoked by violation but not emergence of regularity within rapid sound sequences. Nature Communications 10, 4030, S. 1 - 16 (2019)

Javadi, A.; Patai, E.; Marin-Garcia, E.; Margolis, A.; Tan, H.-R.; Kumaran, D.; Nardini, M.; Duzel, E.; Dayan, P.; Spiers, H.: Prefrontal Dynamics Associated with Efficient Detours and Shortcuts: A Combined Functional Magnetic Resonance Imaging and Magnetoencenphalography Study. Journal of Cognitive Neuroscience 31 (8), S. 1227 - 1247 (2019)

Javadi, A.-H.; Patai, E.; Marin-Garcia, E.; Margois, A.; Tan, H.-R.; Kumaran, D.; Nardini, M.; Penny, W.; Duzel, E.; Dayan, P. et al.; Spiers, H.: Backtracking during navigation is correlated with enhanced anterior cingulate activity and suppression of alpha oscillations and the "default-mode" network. Proceedings of the Royal Society B: Biological Sciences 286 (1908), 20191016, S. 1 - 9 (2019)

Ahilan, S.; Solomon, R.; Breton, A.-Y.; Conover, K.; Niyogi, R.; Shizgal, P.; Dayan, P.: Learning to use past evidence in a sophisticated world model. PLoS Computational Biology 15 (6), S. 1 - 20 (2019)

Dezfouli , A.; Griffiths, K.; Ramos, F.; Dayan, P.; Balleine, B.: Models that learn how humans learn: The case of decision-making and its disorders. PLoS Computational Biology 16 (6), S. 1 - 33 (2019)

Lloyd, K.; Dayan, P.: Pavlovian-instrumental interactions in active avoidance: The bark of neutral trials. Brain Research 1713, S. 52 - 61 (2019)

Rouault, M.; Dayan, P.; Fleming, S.: Forming global estimates of self-performance from local confidence. Nature Communications 10 (1), 1141, S. 1 - 11 (2019)

Moran, R.; Keramati, M.; Dayan, P.; Dolan, R.: Retrospective model-based inference guides model-free credit assignment. Nature Communications 10, 750, S. 1 - 14 (2019)

Gagne, C.; Dayan, P.; Bishop, S.: When planning to survive goes wrong: predicting the future and replaying the past in anxiety and PTSD. Current Opinion in Behavioral Sciences 24, S. 89 - 95 (2018)

Moutoussis, M.; Bullmore, E.; Goodyer, I.; Fonagy, P.; Jones, P.; Dolan, R.; Dayan, P.: Change, stability, and instability in the Pavlovian guidance of behaviour from adolescence to young adulthood. PLoS Computational Biology 14 (12), S. 1 - 26 (2018)

Jones, S.; Neville, V.; Higgs, L.; Paul, E.; Dayan, P.; Robinson, E.; Mendl, M.: Author Correction: Assessing animal affect: an automated and self-initiated judgement bias task based on natural investigative behaviour. Scientific Reports 8 (1), 16454, S. 1 (2018)

Luo, Y.; Hétu, S.; Lohrenz, T.; Hula, A.; Dayan, P.; Landesman Ramey, S.; Sonnier-Netto, L.; Lisinski, J.; LaConte, S.; Nolte, T. et al.; Fonagy, P.; Rahmani, E.; Montague, P.; Ramey, C.: Early childhood investment impacts social decision-making four decades later. Nature Communications 9, 4705, S. 1 - 10 (2018)

Bröker, F.; Marshall, L.; Bestmann, S.; Dayan, P.: Forget-me-some: General versus special purpose models in a hierarchical probabilistic task. PLoS One 13 (10), e0205974 (2018)

Hauser, T.; Moutoussis, M.; Purg, N.; Dayan, P.; Dolan, R.: Beta-blocker propranolol modulates decision urgency during sequential information gathering. The Journal of Neuroscience 38 (32), S. 7170 - 7178 (2018)

Jones, S.; Neville, V.; Higgs, L.; Paul, E.; Dayan, P.; Robinson, E.; Mendl, M.: Assessing animal affect: an automated and self-initiated judgement bias task based on natural investigative behaviour. Scientific Reports 8, 12400, S. 1 - 12 (2018)

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)