A Neural Network for Wind-Guided Compass Navigation
| Autor: | Paola Patella, Isabel D’Alessandro, Tatsuo S. Okubo, Rachel Wilson |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
0301 basic medicine
Arthropod Antennae Computer science Coordinate system Sensory system Wind Article 03 medical and health sciences 0302 clinical medicine Compass Animals Computer vision Sensory cue Neurons Artificial neural network business.industry General Neuroscience Representation (systemics) Brain Wind direction 030104 developmental biology Drosophila melanogaster Drosophila Artificial intelligence Cues Nerve Net business Mechanoreceptors 030217 neurology & neurosurgery Coding (social sciences) Spatial Navigation |
| Zdroj: | Neuron |
| ISSN: | 1097-4199 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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