Literature DB >> 35098368

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

Sebastian Nichols1, Luke Havens1, Brian Taylor2.   

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.
© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

Entities:  

Keywords:  Animal magnetic reception; Computational neuroscience; Dynamic neural field; Magnetic signatures; Magnetoreception

Mesh:

Year:  2022        PMID: 35098368     DOI: 10.1007/s00359-021-01535-w

Source DB:  PubMed          Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol        ISSN: 0340-7594            Impact factor:   1.836


  14 in total

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Authors:  Brian K Taylor; Kenneth J Lohmann; Luke T Havens; Catherine M F Lohmann; Jesse Granger
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Authors: 
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