Markus Marks

The paper introduces a benchmark dataset and tool for cross-lab quantification of mouse social behavior, achieving high-resolution and reproducible classification.

The paper introduces a novel MRI-compatible microscope to simultaneously record single-cell calcium activity and whole-brain BOLD fMRI in awake mice, revealing vascular-dependent neural activity patterns.

The paper shows that distinct, anatomically distributed neuron ensembles in the hypothalamus encode social and fear behaviors through mixed selectivity, with strong localization bias.

Bounding boxes from a transformer detector let the Segment Anything Model segment cells automatically; one generalist model beats generalist Cellpose and matches inter-annotator agreement across mammalian, yeast and bacterial images.

This paper introduces an optimized registration workflow and standard geometric space for small animal MRI, improving consistency and data comparability across subjects and sessions.

This paper introduces a deep learning pipeline for tracking and classifying behaviors of interacting primates and mice in complex environments using video data.

The paper presents an open-source workflow to convert small animal MRI data from ParaVision to BIDS format, improving data standardization and compatibility.