Dimitrije Marković

Joint modeling of choices and reaction times based on Bayesian contextual behavioral control

The paper introduces a joint model of choices and reaction times that integrates Bayesian decision making with sampling procedures to explain decision processes in cognitive tasks.

Revealing human sensitivity to a latent temporal structure of changes

This study investigates how humans represent and use temporal structure in decision-making using a dynamic probabilistic learning task and computational modeling.

Meta-control of the exploration-exploitation dilemma emerges from probabilistic inference over a hierarchy of time scales

The paper presents a computational model of probabilistic inference over a hierarchy of time scales to solve the exploration-exploitation dilemma in cognitive control.

Balancing control: a Bayesian interpretation of habitual and goal-directed behavior

This paper introduces a hierarchical Bayesian model to explain how the brain balances habitual and goal-directed behavior through context-specific learning and probabilistic inference.