Pavan P Ramdya

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

The paper presents a system for high-resolution kinematic and muscle activity measurement in freely behaving flies using closed-loop tracking and pose estimation.

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

The paper identifies centralized neural circuits in Drosophila that coordinate body part movements during grooming, showing synchronization without sensory feedback.

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

NeuroMechFly v2 simulates embodied sensorimotor control in Drosophila by integrating visual and olfactory sensing, motor feedback, and complex environments to study hierarchical control.

The paper shows that command-like descending neurons in Drosophila recruit larger networks of neurons to generate flexible behaviors, with network size predicting the need for recruitment.

The paper identifies ascending neurons in Drosophila that encode high-level behaviors and project to brain regions involved in sensory integration and action selection.

The paper records descending neuron activity in Drosophila during limb-dependent behaviors to understand their role in motor control.

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.

The paper shows that programmed cell death shapes neural networks in insects by reducing flight interneuron populations and demonstrates that blocking cell death leads to functional undead neurons.

This study shows that serotonin modulates walking speed in Drosophila in various contexts and in response to environmental changes through distinct serotonergic receptors.

The paper introduces a method for 2-photon functional imaging in Drosophila ventral nerve cord during behavior and identifies activity patterns in specific neurons.

The paper introduces FlyLimbTracker, a method for semi-automatically tracking leg segments in unmarked Drosophila, showing robustness across video resolutions and behaviors.