Benjamin Cellini

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

This paper introduces BOUNDS, a method to quantify how sensor motion affects estimation in nonlinear systems, demonstrating its application to Drosophila flight for wind direction estimation.

This study investigates how Drosophila flies reset eye position during flight using head saccades, revealing mechanical and neural mechanisms for gaze stabilization.