ArticleNature methods2022
NeuroMechFly, a neuromechanical model of adult Drosophila melanogaster.
Article in Nature methods, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.
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Who cites it
38 citing papers in PubMed.
- Connectome simulations identify a central pattern generator circuit for fly walking.bioRxiv : the preprint server for biology · 2026Article
- Centralized brain networks controlling antennal grooming coordination.Nature communications · 2026Article
- The digital sphinx: Can a worm brain control a fly body?bioRxiv : the preprint server for biology · 2026Article
- Synaptic-resolution connectomics: towards large brains and connectomic screening.Nature reviews. Neuroscience · 2026Review
- Inhibitory circuits control leg movements duringeLife · 2026Article
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- Inhibitory circuits control leg movements duringbioRxiv : the preprint server for biology · 2025Article
- Artificial embodied circuits uncover neural architectures of vertebrate visuomotor behaviors.Science robotics · 2025Article
- Embodied sensorimotor control: computational modeling of the neural control of movement.ArXiv · 2025Article
- Incorporating buccal mass planar mechanics and anatomical features improves neuromechanical modeling of Aplysia feeding behavior.Biological cybernetics · 2025Article
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- A parametric finite element model of leg campaniform sensilla inJournal of the Royal Society, Interface · 2025Article
- The fruit fly,Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Direct and Retrograde Wave Propagation in Unidirectionally Coupled Wilson-Cowan Oscillators.Physical review letters · 2025Article
- Sensorimotor delays constrain robust locomotion in a 3D kinematic model of fly walking.bioRxiv : the preprint server for biology · 2025Article
- I2Bot: an open-source tool for multi-modal and embodied simulation of insect navigation.Journal of the Royal Society, Interface · 2025Article
- NeuroMechFly v2: simulating embodied sensorimotor control in adult Drosophila.Nature methods · 2024Article
- An integrative data-driven model simulating C. elegans brain, body and environment interactions.Nature computational science · 2024Article
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Authors and funding
6 authors.
Funding
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Abstract
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 morphologically realistic neuromechanical simulations. Here we present NeuroMechFly, a data-driven model of the widely studied organism, Drosophila melanogaster. NeuroMechFly combines four independent computational modules: a physics-based simulation environment, a biomechanical exoskeleton, muscle models and neural network controllers. To enable use cases, we first define the minimum degrees of freedom of the leg from real three-dimensional kinematic measurements during walking and grooming. Then, we show how, by replaying these behaviors in the simulator, one can predict otherwise unmeasured torques and contact forces. Finally, we leverage NeuroMechFly's full neuromechanical capacity to discover neural networks and muscle parameters that drive locomotor gaits optimized for speed and stability. Thus, NeuroMechFly can increase our understanding of how behaviors emerge from interactions between complex neuromechanical systems and their physical surroundings.
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