Daesoo Kim

The paper introduces AVATAR, an AI system that virtualizes 3D mouse motions from body part detection, enabling real-time action classification and closed-loop manipulation.

The paper investigates genetic contributions to courtship sound patterns in mice, finding strain-specific differences in appetitive but not consummatory behaviors.

This paper introduces a noninvasive framework using optical diffraction tomography and organelle-aware representation learning to detect mitochondrial dysfunction in live human neurons with high accuracy.

This paper introduces MATER, a self-supervised framework for reconstructing rodent postures from incomplete data, achieving high-fidelity reconstructions and behavioral classification with minimal supervision.

This study uses machine intelligence to analyze motion patterns in mice and predicts mood disorder risk before stress exposure, finding a 70% correlation with social avoidance.

This study shows that Isl2 is essential for organizing motor pool position and sensorimotor circuits in hindlimb motor pools in mice.

The paper shows that PVN CRF neurons respond rapidly to aversive and appetitive stimuli in mice, suggesting their role in sensory detection and neuroendocrine regulation.