Peter König

Understanding melanopsin using bayesian generative models − an Introduction

The paper develops Bayesian generative models to understand melanopsin dynamics, demonstrating their flexibility and ability to incorporate prior knowledge.

Modeling of Large-Scale Functional Brain Networks Based on Structural Connectivity from DTI: Comparison with EEG Derived Phase Coupling Networks and Evaluation of Alternative Methods along the Modeling Path

This paper models functional brain networks from structural connectivity data and compares them to EEG-derived networks, finding that structural connectivity explains a significant portion of functional variance.

Oscillatory signatures of crossmodal congruence effects: An EEG investigation employing a visuotactile pattern matching paradigm

This study uses EEG to investigate how crossmodal congruence affects brain oscillations during a visual-tactile pattern matching task, finding distinct theta, alpha, and beta-band dynamics.

Crossmodal integration improves sensory detection thresholds in the ferret

This study shows that ferrets integrate auditory and visual stimuli in a statistically optimal way, reducing detection thresholds and speeding up reaction times.