Reinforcement learning as a robotics-inspired framework for insect navigation: from spatial representations to neural implementation
- DOI
- 10.3389/fncom.2024.1460006
- Published
- 2024-09-09
- Container
- Frontiers in Computational Neuroscience
- Publisher
- Frontiers Media SA
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3389/fncom.2024.1460006,
title = {Reinforcement learning as a robotics-inspired framework for insect navigation: from spatial representations to neural implementation},
author = {Stephan Lochner and Daniel Honerkamp and Abhinav Valada and Andrew D. Straw},
year = {2024},
journal = {Frontiers in Computational Neuroscience},
doi = {10.3389/fncom.2024.1460006},
url = {https://doi.org/10.3389/fncom.2024.1460006}
}RIS
TY - JOUR TI - Reinforcement learning as a robotics-inspired framework for insect navigation: from spatial representations to neural implementation AU - Stephan Lochner AU - Daniel Honerkamp AU - Abhinav Valada AU - Andrew D. Straw PY - 2024 JO - Frontiers in Computational Neuroscience DO - 10.3389/fncom.2024.1460006 UR - https://doi.org/10.3389/fncom.2024.1460006 ER -
APA
Lochner, S., Honerkamp, D., Valada, A., & Straw, A. D. (2024). Reinforcement learning as a robotics-inspired framework for insect navigation: from spatial representations to neural implementation. Frontiers in Computational Neuroscience. https://doi.org/10.3389/fncom.2024.1460006
Source records
- crossref · retrieved 2026-09-25T11:28:04.153Z