Optimal multiguidance integration in insect navigation

Hoinville T, Wehner R (2018)
Proceedings of the National Academy of Sciences of the United States of America 115(11): 2824-2829.

Zeitschriftenaufsatz | Veröffentlicht | Englisch
 
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Autor*in
Hoinville, ThierryUniBi; Wehner, Rudiger
Abstract / Bemerkung
In the last decades, desert ants have become model organisms for the study of insect navigation. In finding their way, they use two major navigational routines: path integration using a celestial compass and landmark guidance based on sets of panoramic views of the terrestrial environment. It has been claimed that this information would enable the insect to acquire and use a centralized cognitive map of its foraging terrain. Here, we present a decentralized architecture, in which the concurrently operating path integration and landmark guidance routines contribute optimally to the directions to be steered, with "optimal" meaning maximizing the certainty (reliability) of the combined information. At any one time during its journey, the animal computes a path integration (global) vector and landmark guidance (local) vector, in which the length of each vector is proportional to the certainty of the individual estimates. Hence, these vectors represent the limited knowledge that the navigator has at any one place about the direction of the goal. The sum of the global and local vectors indicates the navigator's optimal directional estimate. Wherever applied, this decentralized model architecture is sufficient to simulate the results of quite a number of diverse cue-conflict experiments, which have recently been performed in various behavioral contexts by different authors in both desert ants and honeybees. They include even those experiments that have deliberately been designed by former authors to strengthen the evidence for a metric cognitive map in bees.
Stichworte
multisensory; vector field; path integration; compass; cue-conflict
Erscheinungsjahr
2018
Zeitschriftentitel
Proceedings of the National Academy of Sciences of the United States of America
Band
115
Ausgabe
11
Seite(n)
2824-2829
ISSN
0027-8424
Page URI
https://pub.uni-bielefeld.de/record/2919055

Zitieren

Hoinville T, Wehner R. Optimal multiguidance integration in insect navigation. Proceedings of the National Academy of Sciences of the United States of America. 2018;115(11):2824-2829.
Hoinville, T., & Wehner, R. (2018). Optimal multiguidance integration in insect navigation. Proceedings of the National Academy of Sciences of the United States of America, 115(11), 2824-2829. doi:10.1073/pnas.1721668115
Hoinville, T., and Wehner, R. (2018). Optimal multiguidance integration in insect navigation. Proceedings of the National Academy of Sciences of the United States of America 115, 2824-2829.
Hoinville, T., & Wehner, R., 2018. Optimal multiguidance integration in insect navigation. Proceedings of the National Academy of Sciences of the United States of America, 115(11), p 2824-2829.
T. Hoinville and R. Wehner, “Optimal multiguidance integration in insect navigation”, Proceedings of the National Academy of Sciences of the United States of America, vol. 115, 2018, pp. 2824-2829.
Hoinville, T., Wehner, R.: Optimal multiguidance integration in insect navigation. Proceedings of the National Academy of Sciences of the United States of America. 115, 2824-2829 (2018).
Hoinville, Thierry, and Wehner, Rudiger. “Optimal multiguidance integration in insect navigation”. Proceedings of the National Academy of Sciences of the United States of America 115.11 (2018): 2824-2829.

2 Zitationen in Europe PMC

Daten bereitgestellt von Europe PubMed Central.

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