Vladislav Susoy

Efficient pheromone navigation via antagonistic detectors in Caenorhabditis elegans male

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: machine-learning guided electron microscopy

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

Identifying Interpretable Latent Factors with Sparse Component Analysis

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

PEZO-1 and TRP-4 mechanosensors are involved in mating behavior in Caenorhabditis elegans

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.

Automated neuron tracking inside moving and deforming animals using deep learning and targeted augmentation

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.

Natural sensory context drives diverse brain-wide activity during C. elegans mating

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