Vivek Venkatachalam

The paper compares whole-brain neural activity between sexes of C. elegans in response to various chemical stimuli, finding widespread sexual dimorphism in sensory neurons.

The paper identifies a neural circuit in C. elegans that detects hydrogen peroxide and triggers escape by monitoring changes in the peroxiredoxin detoxification system.

The paper identifies gas-sensing neurons and characterizes calcium responses in ASI and AIA neurons to understand dauer entry decision-making in C. elegans.

This study identifies how insulin-like peptide signaling in C. elegans ASJ neurons integrates sensory cues for dauer exit decision-making.

The paper shows that blocking programmed cell death in C. elegans leads to extra neurons that alter specific behaviors like reversal frequency and duration.

The paper studies how C. elegans chemosensory neurons encode olfactory information through ensemble activity and natural stimuli.

The paper introduces ZephIR, a semi-supervised multiple object tracking framework for 2D/3D videos, demonstrating its versatility in tracking biological systems.

The paper identifies neuropeptidergic pathways in C. elegans that mediate developmental decisions between reproductive growth and diapause based on pheromone cues.

This study shows that Caenorhabditis elegans uses hydrogen peroxide sensing to avoid harmful bacteria and find food-rich niches with lower H2O2 levels.

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

This study shows that corollary discharge from the motor circuit to the sensory processing circuit in C. elegans sustains motor state during thermotactic navigation.

The paper introduces NeuroPAL, a multicolor transgene for neuronal identification in C. elegans, and demonstrates its use in mapping neurotransmitter receptors, cell fate changes, and brain activity.

This paper introduces a deformable non-negative matrix factorization method to extract neural signals from moving animals, outperforming traditional methods on simulated and real data.