Victor Lobato Ríos

This study shows that Drosophila can learn to push objects without explicit reward, revealing neural circuits involved in affordance learning.

The paper introduces a VAE-based method to model conditional distributions between neural and behavioral data, validated on fly and monkey datasets.

This study shows that sociability in Drosophila is learned through associative circuits in the mushroom body, which modulate social valence and drive sociable responses.

This paper develops microfabricated tools for long-term, minimally invasive imaging of the Drosophila ventral nerve cord in behaving adults, enabling longitudinal studies of neural circuit dynamics.

NeuroMechFly is a neuromechanical model of Drosophila melanogaster that simulates biomechanics and neural control to predict behaviors and optimize locomotion.