Alexander J. Hess

Modelling Metacognition: A Joint Prediction-Confidence Model for Predictive Inference Task Data

This paper extends HGF models to jointly model prediction and confidence ratings in a predictive inference task, showing good fit and uncovering metacognitive alterations in psychopathology.

Perceived Control Over Breathing Perturbations Depends on Interosensory Input and Prediction Error

The paper tests a computational model of perceived control over breathing by analyzing data from a novel behavioral task, finding that perceived control depends on interoceptive outcomes and prediction errors.

Bayesian Workflow for Generative Modeling in Computational Psychiatry

The paper applies Bayesian workflow to improve parameter and model identifiability in hierarchical Bayesian models using multivariate behavioural data from a reward learning task.

Incorporating uncertainty within dynamic interoceptive learning

This study extends an interoceptive learning task to measure prediction certainty continuously and applies a learning model to analyze how learning rates relate to stimuli valence and mental health factors.

Interoception of breathing and its relationship with anxiety

This study investigates how anxiety relates to interoceptive processing of breathing using fMRI and computational models, finding that anxiety traits affect interoceptive prediction certainty and errors in the anterior insula.