Christina E. May

Predicting Drosophila Body Orientation from a Translational Trajectory using an Artificial Neural Network

This paper develops an artificial neural network to predict Drosophila body yaw orientation from translational flight trajectories, achieving lower error than linear and Mobius regressions.

Central Complex representations of self-movement are sufficient to compute wind direction in flight

The paper shows that PFN representations of self-motion can decode wind direction during flight using computational models and neural networks.

Inhibitory control of locomotor statistics in walking Drosophila

This study investigates how inhibitory neural circuits regulate locomotor statistics in Drosophila, identifying specific neurons that control search behavior and movement parameters.

Scalable Apparatus to Measure Posture and Locomotion (SAMPL): a high-throughput solution to study unconstrained vertical behavior in small animals

The paper introduces SAMPL, a high-throughput system for measuring posture and locomotion in small animals, demonstrating its use in zebrafish and showing genetic and developmental effects on movement.

Persistent Epigenetic Reprogramming of Sweet Tase by Diet

This study shows that a high sugar diet reprograms the epigenetic state of sweet taste neurons in Drosophila, reducing sweet sensation and promoting obesity, with some changes persisting after diet normalization.

Dietary sugar inhibits satiation by decreasing the central processing of sweet taste

The paper shows that high sugar diets impair satiation by reducing central processing of sweet taste in Drosophila through PAM-β2 dopaminergic neurons.