Sarah Schwöbel

Reduced planning depth and stronger probability discounting in alcohol and tobacco use disorder

This study finds that individuals with alcohol and tobacco use disorders show reduced planning depth and stronger probability discounting in decision-making tasks compared to healthy controls.

Nonparametric Bayesian Contextual Control: Integrating Automatisation and Prior Knowledge for Stable Adaptive Behaviour

The paper introduces NP-BCC, a model that integrates automatisation and prior knowledge to achieve stable adaptive behaviour in dynamic environments through simulations.

Cognitive Computational Model Reveals Repetition Bias in a Sequential Decision-Making Task

The paper presents a computational model showing repetition bias in human sequential decision-making, finding that choice frequency influences decisions alongside reward seeking.

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.

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.