Publikationen von P Dayan

Daw, N.; Dayan, P.: The algorithmic anatomy of model-based evaluation. Philosophical Transactions of the Royal Society of London, Series B: Biological Sciences 369 (1655), S. 1 - 12 (2014)

Nguyen, H.; Dayan, P.; Goodhill, G.: The influence of receptor positioning on chemotactic information. Journal of Theoretical Biology 360, S. 95 - 101 (2014)

Lawson, R.; Seymour, B.; Loh, E.; Lutti, A.; Dolan, R.; Dayan, P.; Weiskopf, N.; Roiser, J.: The habenula encodes negative motivational value associated with primary punishment in humans. Proceedings of the National Academy of Sciences of the United States of America 111 (32), S. 11858 - 11863 (2014)

Rutledge, R.; Skandali, N.; Dayan, P.; Dolan, R.: A computational and neural model of momentary subjective well-being. Proceedings of the National Academy of Sciences of the United States of America 111 (33), S. 12252 - 12257 (2014)

Dayan, P.; Berridge, K.: Model-based and model-free Pavlovian reward learning: Revaluation, revision, and revelation. Cognitive, Affective, & Behavioral Neuroscience 14 (2), S. 473 - 492 (2014)

Dayan, P.: Rationalizable irrationalities of choice. Topics in Cognitive Science 6 (2), S. 204 - 228 (2014)

Guitart-Masip, M.; Düzel, E.; Dolan, R.; Dayan, P.: Action versus valence in decision making. Trends in Cognitive Sciences 18 (4), S. 194 - 202 (2014)

Guitart-Masip, M.; Economides, M.; Huys, Q.; Frank, M.; Chowdhury, R.; Düzel, E.; Dayan, P.; Dolan, R.: Differential, but not opponent, effects of l-DOPA and citalopram on action learning with reward and punishment. Psychopharmacology 231 (5), S. 955 - 966 (2014)

Niyogi, R.; Breton, Y.; Solomon, R.; Conover, K.; Shizgal, P.; Dayan, P.: Optimal indolence: a normative microscopic approach to work and leisure. Interface: Journal of the Royal Society 11 (91), 20130969, S. 1 - 15 (2014)

Savin, C.; Dayan, P.; Lengyel, M.: Optimal recall from bounded metaplastic synapses: predicting functional adaptations in hippocampal area CA3. PLoS Computational Biology 10 (2), S. 1 - 22 (2014)

Manley, H.; Dayan, P.; Diedrichsen, J.: When money is not enough: awareness, success, and variability in motor learning. PLoS One 9 (1), S. 1 - 11 (2014)

Guez, A.; Silver, D.; Dayan, P.: Scalable and Efficient Bayes-Adaptive Reinforcement Learning Based on Monte-Carlo Tree Search. Journal of Artificial Intelligence Research 48, S. 1 - 43 (2013)

Xu, H.; Liu, P.; Dayan, P.; Qian, N.: Multi-level visual adaptation: Dissociating curvature and facial-expression aftereffects produced by the same adapting stimuli. Vision Research 72, S. 42 - 53 (2013)

Dolan, R.; Dayan, P.: Goals and habits in the brain. Neuron 80, S. 312 - 325 (2013)

Beierholm, U.; Guitart-Masip, M.; Economides, M.; Chowdhury, R.; Düzel, E.; Dolan, R.; Dayan, P.: Dopamine modulates reward-related vigor. Neuropsychopharmacology 38 (8), S. 1495 - 1503 (2013)

Qian, N.; Dayan, P.: The company they keep: background similarity influences transfer of aftereffects from second- to first-order stimuli. Vision Research 87, S. 35 - 45 (2013)

Huys, Q.; Pizzagalli, D.; Bogdan, R.; Dayan, P.: Mapping anhedonia onto reinforcement learning: a behavioural meta-analysis. Biology of Mood & Anxiety Disorders 3 (1), 12, S. 1 - 16 (2013)

Hunt, J.; Dayan, P.; Goodhill, G.: Sparse coding can predict primary visual cortex receptive field changes induced by abnormal visual input. PLoS Computational Biology 9 (5), S. 1 - 17 (2013)

Kurniawan, I.; Guitart-Masip, M.; Dayan, P.; Dolan, R.: Effort and valuation in the brain: The effects of anticipation and execution. The Journal of Neuroscience 33 (14), S. 6160 - 6169 (2013)

Chowdhury, R.; Guitart-Masip, M.; Lambert, C.; Dayan, P.; Huys, Q.; Düzel, E.; Dolan, R.: Dopamine restores reward prediction errors in old age. Nature Neuroscience 16 (5), S. 648 - 653 (2013)