Publications of PS Dayan

Thesis - PhD (1)

521.
Thesis - PhD
Dayan, P.: Reinforcing connectionism: learning the statistical way. Dissertation, University of Edinburgh, Edinburgh, UK (1991)

Working Paper (17)

522.
Working Paper
Barnby, J.; Raihani, N.; Dayan, P.: The self as a prior for the other: social learning under paranoia. (submitted)
523.
Working Paper
Dayan, P.: "Liking" as a First Draft of the Affective Future. (submitted)
524.
Working Paper
Antonov, G.; Gagne, C.; Eldar, E.; Dayan, P.: Optimism and Pessimism in Optimised Replay. (submitted)
525.
Working Paper
Bröker, F.; Love, B.; Dayan, P.: When unsupervised training benefits category learning. (submitted)
526.
Working Paper
Gagne, C.; Dayan, P.: Peril, Prudence and Planning as Risk, Avoidance and Worry. (submitted)
527.
Working Paper
Jain , Y.; Callaway, F.; Griffiths, T.; Dayan, P.; Krueger, P.; Lieder, F.: A Computational Process-Tracing Method for Measuring People’s Planning Strategies and How They Change Over Time. (submitted)
528.
Working Paper
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. (submitted)
529.
Working Paper
Castro-Rodrigues, P.; Akam, T.; Snorasson, I.; Camacho, M.; Paixão, V.; Barahona-Corrêa, B.; Dayan, P.; Simpson, H.; Costa, R.; Oliveira-Maia, A.: Explicit knowledge of task structure is the primary determinant of human model-based action. (submitted)
530.
Working Paper
Silston, B.; Wise, T.; Qi, S.; Sui, X.; Dayan, P.; Mobbs, D.: Neural encoding of socially adjusted value during competitive and hazardous foraging. (submitted)
531.
Working Paper
Dezfouli, A.; Nock, R.; Arabzadeh, E.; Dayan, P.: Neural Network Poisson Models for Behavioural and Neural Spike Train Data. (submitted)
532.
Working Paper
Mancinelli, F.; Roiser, J.; Dayan, P.: Subjective Beliefs In, Out, and About Control: A Quantitative Analysis. (submitted)
533.
Working Paper
Dezfouli, A.; Nock, R.; Dayan, P.: Adversarial manipulation of human decision-making. (submitted)
534.
Working Paper
Kastner, D.; Miller, E.; Yang, Z.; Roumis, D.; Liu, D.; Frank, L.; Dayan, P.: Dynamic preferences account for inter-animal variability during the continual learning of a cognitive task. (submitted)
535.
Working Paper
Iigaya, K.; Hauser, T.; Kurth-Nelson, Z.; O'Doherty, J.; Dayan, P.; Dolan, R.: Hippocampal-midbrain circuit enhances the pleasure of anticipation in the prefrontal cortex. (submitted)
536.
Working Paper
Zhao, S.; Chait, M.; Dick, F.; Dayan, P.; Furukawa, S.; Liao, H.-I.: Phasic norepinephrine is a neural interrupt signal for unexpected events in rapidly unfolding sensory sequences: evidence from pupillometry. (submitted)
537.
Working Paper
Danihelka, I.; Lakshminarayanan, B.; Uria, B.; Wierstra, D.; Dayan, P.: Comparison of Maximum Likelihood and GAN-based training of Real NVPs. (submitted)
538.
Working Paper
Guez, A.; Silver, D.; Dayan, P.: Better Optimism By Bayes: Adaptive Planning with Rich Models. (submitted)
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