Nature CommunicationsNeurosciencePeer-reviewed journal article
Neural representation of goal direction in the monarch butterfly brain
Abstract
Neural processing of a navigational goal requires the continuous comparison between the current heading and the intended goal direction. While the neural basis underlying the current heading is well-studied in insects, the coding of the goal direction is completely unexplored. Here, we identify for the first time neurons that encode goal direction in the brain of a navigating insect, the monarch butterfly. The spatial tuning of these neurons accurately correlates with the animals goal direction while being unaffected by compass perturbations. Thus, they specifically encode the goal direction similar to goal neurons described in the mammalian brain. Taken together, a navigation network based on goal-direction and heading-direction neurons generates steering commands that efficiently guides the monarch butterflies to their migratory goal.
- Citations
- 54
- FWCI
- 6.53
- Field percentile
- top 2%
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Flight-induced compass representation in the monarch butterfly heading network
M. Jerome Beetz, Christian M. Kraus, … Basil el Jundi·Current BiologyPeer-reviewed·Nov 24, 2021
- Walking Drosophila aim to maintain a neural heading estimate at an internal goal angle
Jonathan Green, Vikram Vijayan, … Gaby Maimon·Nature NeurosciencePeer-reviewed·Jul 22, 2019
- Transforming a head direction signal into a goal-oriented steering command
Elena A. Westeinde, Emily J. Kellogg, … Rachel I. Wilson·NaturePeer-reviewed·Feb 7, 2024
- Stimulus-dependent orientation strategies in monarch butterflies
M. Franzke, C. Kraus, … B. el Jundi·bioRxiv·Oct 14, 2021
- A neural model for insect steering applied to olfaction and path integration
Andrea K. Adden, Terrence C. Stewart, … Stanley Heinze·Neural ComputationPeer-reviewed·Sep 16, 2022
- A Decentralised Neural Model Explaining Optimal Integration of Navigational Strategies in Insects