Area of research
Cellular and Molecular Neuroscience · Genetics
Research interest
Research interests include Neurobiology and Insect Physiology Research, Insect and Arachnid Ecology and Behavior, Animal Behavior and Reproduction, and Neural dynamics and brain function.
Motor neurons generate pose-targeted movements via proprioceptive sculpting
Social state alters vision using three circuit mechanisms in Drosophila
Cell type-specific contributions to a persistent aggressive internal state in female Drosophila
Cell type-specific contributions to a persistent aggressive internal state in female Drosophila
Cell type-specific contributions to a persistent aggressive internal state in female Drosophila
Automated Video Monitoring of Unmarked and Marked Honey Bees at the Hive Entrance
Cell types and neuronal circuitry underlying female aggression in Drosophila
Computational Neuroethology: A Call to Action
Cortical pattern generation during dexterous movement is input-driven
State-dependent decoupling of sensory and motor circuits underlies behavioral flexibility in Drosophila
An automatic behavior recognition system classifies animal behaviors using movements and their temporal context
In Toto Imaging and Reconstruction of Post-Implantation Mouse Development at the Single-Cell Level
A deep (learning) dive into a cell
Mapping the Neural Substrates of Behavior
Moonwalker Descending Neurons Mediate Visually Evoked Retreat in Drosophila
Computational Analysis of Behavior
Scalable Vision System for Mouse Homecage Ethology
Cortex commands the performance of skilled movement
Understanding classifier errors by examining influential neighbors
Imaging the Neural Basis of Locomotion
Mushroom body output neurons encode valence and guide memory-based action selection in Drosophila
Automated image-based tracking and its application in ecology
Behavioral Variability through Stochastic Choice and Its Gating by Anterior Cingulate Cortex
Fast, accurate reconstruction of cell lineages from large-scale fluorescence microscopy data
JAABA: interactive machine learning for automatic annotation of animal behavior