K. Svoboda

The paper introduces PERSIST, a deep learning framework that selects optimal gene panels for spatial transcriptomics using scRNA-seq data, improving prediction accuracy and generalization across technologies.

The paper introduces a hybrid light-sheet microscope that enables versatile multi-scale imaging of cleared tissues with varying resolution, geometry, and compatibility requirements.

This study shows that mouse choices during active tactile decision making can be predicted from mechanosensory and choice-memory signals using a novel behavioral task.