Skip to main content

Advertisement

Log in

Sensation to navigation: a computational neuroscience approach to magnetic field navigation

  • Original Paper
  • Published:
Journal of Comparative Physiology A Aims and scope Submit manuscript

Abstract

Diverse taxa use Earth’s magnetic field (i.e., magnetoreception) as a guide during long-distance navigation. However, despite decades of research, specific sensory mechanisms of magnetoreception remain unconfirmed. Necessarily, this has led to theoretical and computational work developing hypotheses of how animals may navigate using magnetoreception. One hypothesized strategy relies on an animal using combinations of magnetic intensity and inclination as a kind of signature to identify a specific region or location. Using these signatures, animals could use a waypoint-based navigation strategy. We show that this navigation strategy is biologically plausible using a close approximation of neural processing to successfully guide an agent in a simulated magnetic field. Moreover, we accomplish this strategy using a processing approach previously utilized for mechanoreception, suggesting processing of Earth’s magnetic field may share features with the processing of other, more well-understood sensory systems. Taken together, our results suggest that both for the engineering of novel navigation systems and the study of animal magnetoreception, we should take lessons from other sensory systems.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6

Similar content being viewed by others

Explore related subjects

Discover the latest articles and news from researchers in related subjects, suggested using machine learning.

References

Download references

Acknowledgements

We thank Dr. Cynthia Harley of Metropolitan State University for her collaboration and assistance with the leech work. We also thank Dr. Catherine E. Kehl for helping to proofread the manuscript.

Funding

This work was supported in part by a grant from the Air Force Office of Scientific Research (FA9550-20-1-0399), a fellowship from the National Science Foundation Graduate Research Fellowship Program, and internal grant funding from The University of North Carolina at Chapel Hill.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Brian Taylor.

Ethics declarations

Conflict of interest

The authors have no conflict of interest.

Ethical approval

Not applicable.

Consent to participate

Not applicable.

Consent for publication

Not applicable.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Nichols, S., Havens, L. & Taylor, B. Sensation to navigation: a computational neuroscience approach to magnetic field navigation. J Comp Physiol A 208, 167–176 (2022). https://doi.org/10.1007/s00359-021-01535-w

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00359-021-01535-w

Keywords

Profiles

  1. Brian Taylor