M Eugenia Chiappe

This paper identifies a hierarchical steering circuit in Drosophila that transforms navigational signals into coordinated motor actions during walking and flight.

The paper reconstructs and identifies 58 Lobula Plate Tangential Neurons in Drosophila using EM and predicts their optic flow sensitivity through computational anatomy.

The paper identifies a competitive disinhibitory network in Drosophila that enhances rotational optic flow processing for navigation.

The paper shows that leg mechanosensory activity provides a clock signal and speed context to visual circuits for flexible course control during walking in Drosophila.

DeepEthogram uses machine learning to automatically classify animal behaviors from video frames with high accuracy, reducing manual effort and increasing reproducibility.

The paper investigates how motor context influences visual feedback's role in course control during exploratory walking in Drosophila using Virtual Reality.

The paper shows that a miRNA-Hox module controls self-righting behavior in different developmental stages of Drosophila, affecting motor neuron function rather than morphology.