Publikationen von P Dayan

Huys, Q.; Cools, R.; Gölzer, M.; Friedel, E.; Heinz, A.; Dolan, R.; Dayan, P.: Disentangling the roles of approach, activation and valence in instrumental and pavlovian responding. PLoS Computational Biology 7 (4), S. 1 - 14 (2011)

Daw, N.; Gershman, S.; Seymour, B.; Dayan, P.; Dolan, R.: Model-based influences on humans' choices and striatal prediction errors. Neuron 69 (6), S. 1204 - 1215 (2011)

Mortimer, D.; Dayan, P.; Burrage, K.; Goodhill, G.: Bayes-optimal chemotaxis. Neural computation 23 (2), S. 336 - 373 (2011)

Boureau, Y.-L.; Dayan, P.: Opponency revisited: competition and cooperation between dopamine and serotonin. Neuropsychopharmacology 36 (1), S. 74 - 97 (2011)

Moazzezi, R.; Dayan, P.: Change-based inference in attractor nets: Linear analysis. Neural computation 22 (12), S. 3036 - 3061 (2010)

Dayan, P.; Solomon, J.: Selective Bayes: Attentional load and crowding. Vision Research 50 (22), S. 2248 - 2260 (2010)

Pfister, J.-P.; Dayan, P.; Lengyel, M.: Synapses with short-term plasticity are optimal estimators of presynaptic membrane potentials. Nature Neuroscience 13 (10), S. 1271 - 1275 (2010)

Beierholm , U.; Dayan, P.: Pavlovian-Instrumental interaction in "Observing behavior". PLoS Computational Biology 6 (9), S. 1 - 10 (2010)

Bunzeck, N.; Dayan, P.; Dolan, R.; Düzel, E.: A common mechanism for adaptive scaling of reward and novelty. Human Brain Mapping 31 (9), S. 1380 - 1394 (2010)

Gläscher, J.; Daw, N.; Dayan, P.; O'Doherty, J.: States versus Rewards: Dissociable neural prediction error signals underlying model-based and model-free reinforcement learning. Neuron 66 (4), S. 585 - 596 (2010)

Mortimer, D.; Dayan, P.; Burrage, K.; Goodhill, G.: Optimizing chemotaxis by measuring unbound-bound transitions. Physica D: Nonlinear Phenomena 239 (9), S. 477 - 484 (2010)

Huys, Q.; Dayan, P.: A Bayesian formulation of behavioral control. Cognition 113 (3), S. 314 - 328 (2009)

Talmi, D.; Dayan, P.; Kiebel, S.; Frith, C.; Dolan, R.: How humans integrate the prospects of pain and reward during choice. The Journal of Neuroscience 29 (46), S. 14617 - 14626 (2009)

Wu, J.; Xu, H.; Dayan, P.; Qian, N.: The role of background statistics in face adaptation. The Journal of Neuroscience 29 (39), S. 12035 - 12044 (2009)

Mortimer, D.; Feldner, J.; Vaughan , T.; Vetter, I.; Pujic, Z.; Rossoff, W.; Burrage, K.; Dayan, P.; Richards, L.; Goodhill, G.: A Bayesian model predicts the response of axons to molecular gradients. Proceedings of the National Academy of Sciences of the United States of America 106 (25), S. 10296 - 10301 (2009)

Yu, A.; Dayan, P.; Cohen, J.: Dynamics of attentional selectionl under conflict: Toward a rational Bayesian account. Journal of Experimental Psychology: Human Perception and Performance 35 (3), S. 700 - 717 (2009)

Yu, A.; Dayan, P.; Cohen, J.: Dynamics of Attentional Selection Under Conflict: Toward a Rational Bayesian Account. Journal of Experimental Psychology: Human Perception and Performance 35 (3), S. 700 - 717 (2009)

Dayan, P.: Dopamine, reinforcement learning, and addiction. Pharmacopsychiatry 42 (Supplement 1), S. S56 - S65 (2009)

Dayan, P.: Goal-directed control and its antipodes. Neural networks 22 (3), S. 213 - 219 (2009)

Schwartz, O.; Sejnowski, T.; Dayan, P.: Perceptual organization in the tilt illusion. Journal of Vision 9 (4), 19, S. 1 - 20 (2009)