Code accompanying "NeuroMechFly v2, simulating embodied sensorimotor control in adult Drosophila"
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Code accompanying the article "NeuroMechFly v2, simulating embodied sensorimotor control in adult Drosophila," Nature Methods, 2024. Important Note: This Zenodo entry is intended as a snapshot of the code at the time the manuscript is prepared. Users should access the latest version of the FlyGym library at https://github.com/NeLy-EPFL/flygym or visit https://neuromechfly.org/. This Zenodo object will not be maintained or synchronized with the latest version of FlyGym.
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Signals like ascending motor-related feedback and those encoding internal states or learning-based changes in sensory valence can be easily incorporated into user-defined controllers.
“Additionally, signals like ascending motor-related feedback 79 and those encoding internal states 33 or learning-based 72 changes in sensory valence can be easily incorporated into user-defined controllers.”
From NeuroMechFly v2: simulating embodied sensorimotor control in adult Drosophila (2024) · cites this paper as [79]
The Zenodo Description identifies this as a snapshot of FlyGym code, and the file listing names controller examples. Neither passage addresses whether ascending motor-related feedback, internal-state signals, or learned changes in sensory valence can be easily incorporated into user-defined controllers. Searches for those signals and sensory valence found no supporting passage in our copy. (LLM, conf=0.74)
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NeuroMechFly v2: simulating embodied sensorimotor control in adult Drosophila
Wang-Chen, S., Stimpfling, V. A., Lam, T. K. C., Özdil, P. G., Genoud, L., Hurtak, F., & Ramdya, P. (2024) · Nature Methods · doi:10.1038/s41592-024-02497-y · Cited by 43 · see citing works
Self-citation
- Authors
- Wang-Chen, S., Stimpfling, V. A., Thomas Ka Chung, L., Özdil, P. G., Genoud, L., Hurtak, F., & Ramdya, P.
- Affiliations
- École Polytechnique Fédérale de Lausanne (CH)
- École Polytechnique Fédérale de Lausanne
- ORCID
- Venue
- Zenodo
- Publisher
- Zenodo
- Published
- 2024-07-26
- OpenAlex
- W6949602710
- Cited by
- 1
- References
- 0
- Citations by year
- 2024: 1
- Type
- software
- Language
- en
- Open access
- green
- doi.org
- Locations
- Zenodo (CERN European Organization for Nuclear Research)
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neurobiology and Insect Physiology Research
- Life Sciences › Neuroscience › Cognitive Neuroscience › Motor Control and Adaptation
- Physical Sciences › Computer Science › Artificial Intelligence › Reinforcement Learning in Robotics
- Keywords
- Drosophila, neuromechanics, insect motor control, reinforcement learning
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