Publications de Victor Lobato Rios

Modeling conditional distributions of neural and behavioral data with masked variational autoencoders

Pavan P Ramdya, Victor Lobato Rios, Daniel Eduardo Morales Garza

Extracting the relationship between high-dimensional neural recordings and complex behavior is a ubiquitous problem in neuroscience. Encoding and decoding models target the conditional distribution of neural activity given behavior and vice versa, while di ...

2025

Neural mechanisms of learned sociability in Drosophila

Victor Lobato Rios

Sociability refers to an animal's ease of living amongst members of its own species. This trait is essential for ethologically important social interactions like courtship, mating, and child rearing, as well as collective behaviors like group decision-maki ...

EPFL2024

NeuroMechFly: an integrative simulation testbed for studying Drosophila behavioral control

Pavan P Ramdya, Victor Lobato Rios

NATURE PORTFOLIO2022

Microengineered devices enable long-term imaging of the ventral nerve cord in behaving adult Drosophila

Pavan P Ramdya, Mahmut Selman Sakar, Chin-Lin Chen, Murat Kaynak, Semih Günel, Victor Lobato Rios, Laura Joan Hermans, Florian Aymanns, Jonas Friedrich Braun

The dynamics and connectivity of neural circuits continuously change on timescales ranging from milliseconds to an animal's lifetime. Therefore, to understand biological networks, minimally invasive methods are required to repeatedly record them in behavin ...

Nature Research2022

NeuroMechFly, a neuromechanical model of adult Drosophila melanogaster

Auke Ijspeert, Pavan P Ramdya, Jonathan Patrick Arreguit O'Neill, Shravan Tata Ramalingasetty, Victor Lobato Rios

Animal behavior emerges from an interaction between neural network dynamics, musculoskeletal properties and the physical environment. Accessing and understanding the interplay between these elements requires the development of integrative and morphological ...

NATURE PORTFOLIO2022

LiftPose3D, a deep learning-based approach for transforming two-dimensional to three-dimensional poses in laboratory animals

Pascal Fua, Pavan P Ramdya, Helge Jochen Rhodin, Semih Günel, Victor Lobato Rios, Daniel Eduardo Morales Garza, Marco Pietro Abrate, Adám Gosztolai

LiftPose3D infers three-dimensional poses from two-dimensional data or from limited three-dimensional data. The approach is illustrated for videos of behaving Drosophila, mice, rats and macaques. ...

NATURE PORTFOLIO2021