Vladislav Susoy

This paper shows that C. elegans males use an antagonistic sensory system to navigate pheromone gradients, with head and tail neurons having opposing roles in movement control.

SmartEM accelerates electron microscopy image acquisition by using machine learning to intelligently allocate imaging time, achieving up to 7-fold speedup in connectomic samples.

This paper introduces SCA, an unsupervised method for identifying interpretable latent factors in neural data, and shows its effectiveness across different datasets.

The paper investigates the roles of PEZO-1 and TRP-4 mechanosensors in C. elegans mating behavior, showing their involvement in multiple mating steps and mechanosensory functions.

The paper develops a deep learning method with targeted augmentation to track neurons in moving C. elegans, reducing manual annotation needs and enabling analysis of neuronal behavior.

The paper studies brain-wide activity in C. elegans during mating, showing how sensory context shapes diverse neural dynamics across different behavioral components.