A5027493439- Neurobiology and Insect Physiology Research
- Insect and Arachnid Ecology and Behavior
- Animal Behavior and Reproduction
- Physiological and biochemical adaptations
- Plant and animal studies
- Gaussian Processes and Bayesian Inference
- Advanced Bandit Algorithms Research
- Neural Networks and Applications
- Plant and Biological Electrophysiology Studies
- Neural dynamics and brain function
- Cell Image Analysis Techniques
- Advanced Multi-Objective Optimization Algorithms
Institut Pasteur
2022-2025
Université Paris Cité
2022-2024
Institut national de recherche en informatique et en automatique
2023-2024
Centre National de la Recherche Scientifique
2023-2024
To ensure their survival, animals must be able to respond adaptively threats within environment. However, the precise neural circuit mechanisms that underlie flexible defensive behaviors remain poorly understood. Using neuronal manipulations, machine learning-based behavioral detection, electron microscopy (EM) connectomics and calcium imaging in Drosophila larvae, we map second-order interneurons are differentially involved competition between actions response competing aversive cues. We...
Nervous systems have the ability to select appropriate actions and action sequences in response sensory cues. The circuit mechanisms by which nervous achieve choice, stability transitions between behaviors are still incompletely understood. To identify neurons brain areas involved controlling these processes, we combined a large-scale neuronal inactivation screen with automated detection mechanosensory cue Drosophila larva. We analyzed from 2.9x105 larvae identified 66 candidate lines for...
Abstract Motivation As more behavioural assays are carried out in large-scale experiments on Drosophila larvae, the definitions of archetypal actions a larva regularly refined. In addition, video recording and tracking technologies constantly evolve. Consequently, automatic tagging tools for larval behaviour must be retrained to learn new representations from data. However, existing cannot transfer knowledge large amounts previously accumulated We introduce LarvaTagger, piece software that...
Abstract The central nervous system can generate various behaviours, including motor responses, which we observe through video recordings. Recent advancements in genetics, automated behavioural acquisition at scale, and machine learning enable us to link behaviours their underlying neural mechanisms causally. Moreover, some animals, such as the Drosophila larva, this mapping is possible unprecedented scales of millions animals single neurons, allowing identify circuits generating particular...
Abstract Animals’ feeding state changes behavioral priorities and thus influences even non-feeding related decisions. How is the information transmitted to circuits what are circuit mechanisms involved in biasing decisions remains an open question. By combining calcium imaging, neuronal manipulations, analysis computational modeling, we determined that competition between different aversive responses mechanical cues biased by changes. We found this achieved differential modulation of two...
Abstract To ensure their survival, animals must be able to respond adaptively threats within environment. However, the precise neural circuit mechanisms that underlie such flexible defensive behaviors remain poorly understood. Using neuronal manipulations, machine-learning-based behavioral detection, Electron Microscopy (EM) connectomics and calcium imaging in Drosophila larva, we have mapped second-order interneurons differentially involved competition between different actions main...
Abstract Animals' feeding state changes behavioral priorities and thus influences even non-feeding related decisions. How is the information transmitted to circuits what are circuit mechanisms involved in biasing decisions remains an open question. By combining calcium imaging, neuronal manipulations, analysis computational modeling, we determined that competition between different aversive responses mechanical cues biased by changes. We found this achieved differential modulation of two...
Abstract To ensure their survival, animals must be able to respond adaptively threats within environment. However, the precise neural circuit mechanisms that underlie such flexible defensive behaviors remain poorly understood. Using neuronal manipulations, machine-learning-based behavioral detection, Electron Microscopy (EM) connectomics and calcium imaging in Drosophila larva, we have mapped second-order interneurons differentially involved competition between different actions main...
Motivation As more behavioural assays are carried out in large-scale experiments on Drosophila larvae, the definitions of archetypal actions a larva regularly refined. In addition, video recording and tracking technologies constantly evolve. Consequently, automatic tagging tools for larval behaviour must be retrained to learn new representations from data. However, existing cannot transfer knowledge large amounts previously accumulated We introduce LarvaTagger, piece software that combines...
Entropy maximization and free energy minimization are general physical principles for modeling the dynamics of various systems. Notable examples include decision-making within brain using free-energy principle, optimizing accuracy-complexity trade-off when accessing hidden variables with information bottleneck principle (Tishby et al., 2000), navigation in random environments (Vergassola 2007). Built on this we propose a new class bandit algorithms that maximize an approximation to key...