Publikationen von P Dayan
Alle Typen
Preprint (43)
801.
Preprint
Latent subdimensions of anxiety and depression differentially influence exertion of effort in pursuit of reward versus avoidance of threat. (eingereicht)
802.
Preprint
Weighting waiting: A decision-theoretic taxonomy of delay, pacing and procrastination. (eingereicht)
803.
Preprint
A Brain-Wide Map of Neural Activity during Complex Behaviour. (eingereicht)
804.
Preprint
Distinct decision processes for 3D and motion stimuli in both humans and monkeys revealed by computational modelling. (eingereicht)
805.
Preprint
Centaur: a foundation model of human cognition. (eingereicht)
806.
Preprint
Bayesian Priors in Active Avoidance. (eingereicht)
807.
Preprint
Detecting and Deterring Manipulation in a Cognitive Hierarchy. (eingereicht)
808.
Preprint
Overly deep hierarchical mentalizing produces paranoia: a new formal theory. (eingereicht)
809.
Preprint
Dissecting the Complexities of Learning With Infinite Hidden Markov Models. (eingereicht)
810.
Preprint
Brain-wide representations of prior information in mouse decision-making. (eingereicht)
811.
Preprint
Beyond Theory of Mind: A formal framework for social inference and representation. (eingereicht)
812.
Preprint
The Inner Sentiments of a Thought. (eingereicht)
813.
Preprint
Modeling individual aesthetic judgments over time. (eingereicht)
814.
Preprint
When it pays to be quick: dissociating control over task preparation and speed-accuracy trade-off in task switching. (eingereicht)
815.
Preprint
Subjective Beliefs In, Out, and About Control: A Quantitative Analysis. (eingereicht)
816.
Preprint
Hippocampal-midbrain circuit enhances the pleasure of anticipation in the prefrontal cortex. (eingereicht)
817.
Preprint
Phasic norepinephrine is a neural interrupt signal for unexpected events in rapidly unfolding sensory sequences: evidence from pupillometry. (eingereicht)
818.
Preprint
Comparison of Maximum Likelihood and GAN-based training of Real NVPs. (eingereicht)
819.
Preprint
Better Optimism By Bayes: Adaptive Planning with Rich Models. (eingereicht)