Christoph Teufel

This paper uses predictive coding to model delusions, showing that reorganisation of generative models under atypical conditions leads to persistent, impervious beliefs.

The paper shows that eye movements are guided by both image features and knowledge-driven object representations, with gaze patterns changing when objects are perceived as coherent.

The paper examines how white matter microstructure in face and body networks relates to perceptual development in children and adolescents.

This study investigates how transcranial random noise stimulation (tRNS) affects perceptual performance by manipulating neural noise and analyzing internal noise levels using the perceptual template model.

The paper shows that semantically inconsistent objects attract more fixations than consistent ones, but contextualized meaning maps fail to capture this relationship.

This study investigates prediction-based sensory and motor processes in autism, finding no deficit in low-level sensorimotor predictions.

This study compares meaning maps and saliency models in predicting human fixations, finding that deep neural networks outperform meaning maps in accuracy and responsiveness to meaning changes.

The paper tests whether people can use self-paced control to reduce performance variability in tasks, finding no improvement in self-paced conditions.