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Citation
Okubo, T.S., Patella, P., D'Alessandro, I., Wilson, R.I. (2020). A Neural Network for Wind-Guided Compass Navigation.  Neuron 107(5): 924--940.e18.
FlyBase ID
FBrf0246694
Publication Type
Research paper
Abstract

Spatial maps in the brain are most accurate when they are linked to external sensory cues. Here, we show that the compass in the Drosophila brain is linked to the direction of the wind. Shifting the wind rightward rotates the compass as if the fly were turning leftward, and vice versa. We describe the mechanisms of several computations that integrate wind information into the compass. First, an intensity-invariant representation of wind direction is computed by comparing left-right mechanosensory signals. Then, signals are reformatted to reduce the coding biases inherent in peripheral mechanics, and wind cues are brought into the same circular coordinate system that represents visual cues and self-motion signals. Because the compass incorporates both mechanosensory and visual cues, it should enable navigation under conditions where no single cue is consistently reliable. These results show how local sensory signals can be transformed into a global, multimodal, abstract representation of space.

PubMed ID
PubMed Central ID
PMC7507644 (PMC) (EuropePMC)
Related Publication(s)
Note

Insect Orientation: The Drosophila Wind Compass Pathway.
Jundi and Dacke, 2021, Curr. Biol. 31(2): R83--RR85 [FBrf0247930]

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Secondary IDs
    Language of Publication
    English
    Additional Languages of Abstract
    Parent Publication
    Publication Type
    Journal
    Abbreviation
    Neuron
    Title
    Neuron
    Publication Year
    1988-
    ISBN/ISSN
    0896-6273
    Data From Reference