Publications of P Dayan

Zemel, R.; Natarajan, R.; Huys, Q.; Dayan, P.: Representational pursuit: Population codes for dynamic environments. Computational and Systems Neuroscience Meeting (COSYNE 2005), Salt Lake City, UT, USA (2005)

Yu, A.; Bentley, P.; Seymour, B.; Driver, J.; Dolan , R.; Dayan, P.: Expected and unexpected uncertainties control allocation of attention in a novel attentional learning task. 34th Annual Meeting of the Society for Neuroscience (Neuroscience 2004), San Diego, CA, USA (2004)

Gruber, A.; Dayan, P.; Gutkin, B.; Solla, S.: Dopaminergic enhancement of spatial working memory through single-unit modulation in a basal ganglio-cortical network model. 33rd Annual Meeting of the Society for Neuroscience (Neuroscience 2003), New Orleans, LA, USA (2003)

Zhaoping, L.; Dayan, P.; Herzog, M.: Positional variation in perceptual learning: quadratic ideal observation, recurrent pre-processing, and transfer. 25th European Conference on Visual Perception (ECVP 2002), Glasgow, UK (2002)

Popple, A.; Dayan, P.; Li, Z.: V1 model predicts texture segmentation bias. 31st Annual Meeting of the Society for Neuroscience (Neuroscience 2001), San Diego, CA, USA (2001)

Kakade, S.; Dayan, P.: Opponent interactions between serotonin and dopamine for classical and operant conditioning. 30th Annual Meeting of the Society for Neuroscience (Neuroscience 2000), New Orleans, LA, USA (2000)

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

Gagne, C.; Dayan, P.: Catastrophe, Compounding & Consistency in Choice. (submitted)

Barnby, J.; Raihani, N.; Dayan, P.: The self as a prior for the other: social learning under paranoia. (submitted)

Dayan, P.: "Liking" as a First Draft of the Affective Future. (submitted)

Antonov, G.; Gagne, C.; Eldar, E.; Dayan, P.: Optimism and Pessimism in Optimised Replay. (submitted)

Bröker, F.; Love, B.; Dayan, P.: When unsupervised training benefits category learning. (submitted)

Gagne, C.; Dayan, P.: Peril, Prudence and Planning as Risk, Avoidance and Worry. (submitted)

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)

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)

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)

Silston, B.; Wise, T.; Qi, S.; Sui, X.; Dayan, P.; Mobbs, D.: Neural encoding of socially adjusted value during competitive and hazardous foraging. (submitted)

Dezfouli, A.; Nock, R.; Arabzadeh, E.; Dayan, P.: Neural Network Poisson Models for Behavioural and Neural Spike Train Data. (submitted)

Mancinelli, F.; Roiser, J.; Dayan, P.: Subjective Beliefs In, Out, and About Control: A Quantitative Analysis. (submitted)

Dezfouli, A.; Nock, R.; Dayan, P.: Adversarial manipulation of human decision-making. (submitted)