Christian Gerloff

This paper introduces a denoising diffusion model for EEG signals that uses pose coordinates to improve denoising performance and maintain spatial dependencies.

This study identifies brain regions and molecular mechanisms associated with interpersonal neural synchronization using multimodal data fusion and meta-analysis.

The paper introduces a bipartite graph framework for interbrain networks to analyze social interaction neural mechanisms and shows it provides better predictions of social characteristics than traditional methods.

The paper examines whether neural, autonomic, and behavioral synchrony in mother-child dyads are distinct, finding that neural synchrony differs from other systems and is linked to social affiliation.