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From skylight input to behavioural output: A computational model of the insect polarised light compass
Many insects navigate by integrating the distances and directions travelled on an outward path, allowing direct return to the starting point. Fundamental to the reliability of this process is the use of a neural compass based on external celestial cues. Here we examine how such compass information c...
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| Published in: | PLoS computational biology 2019-07, Vol.15 (7), p.e1007123-e1007123 |
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| creator | Gkanias, Evripidis Risse, Benjamin Mangan, Michael Webb, Barbara |
| description | Many insects navigate by integrating the distances and directions travelled on an outward path, allowing direct return to the starting point. Fundamental to the reliability of this process is the use of a neural compass based on external celestial cues. Here we examine how such compass information could be reliably computed by the insect brain, given realistic constraints on the sky polarisation pattern and the insect eye sensor array. By processing the degree of polarisation in different directions for different parts of the sky, our model can directly estimate the solar azimuth and also infer the confidence of the estimate. We introduce a method to correct for tilting of the sensor array, as might be caused by travel over uneven terrain. We also show that the confidence can be used to approximate the change in sun position over time, allowing the compass to remain fixed with respect to 'true north' during long excursions. We demonstrate that the compass is robust to disturbances and can be effectively used as input to an existing neural model of insect path integration. We discuss the plausibility of our model to be mapped to known neural circuits, and to be implemented for robot navigation. |
| doi_str_mv | 10.1371/journal.pcbi.1007123 |
| format | article |
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Fundamental to the reliability of this process is the use of a neural compass based on external celestial cues. Here we examine how such compass information could be reliably computed by the insect brain, given realistic constraints on the sky polarisation pattern and the insect eye sensor array. By processing the degree of polarisation in different directions for different parts of the sky, our model can directly estimate the solar azimuth and also infer the confidence of the estimate. We introduce a method to correct for tilting of the sensor array, as might be caused by travel over uneven terrain. We also show that the confidence can be used to approximate the change in sun position over time, allowing the compass to remain fixed with respect to 'true north' during long excursions. We demonstrate that the compass is robust to disturbances and can be effectively used as input to an existing neural model of insect path integration. 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Fundamental to the reliability of this process is the use of a neural compass based on external celestial cues. Here we examine how such compass information could be reliably computed by the insect brain, given realistic constraints on the sky polarisation pattern and the insect eye sensor array. By processing the degree of polarisation in different directions for different parts of the sky, our model can directly estimate the solar azimuth and also infer the confidence of the estimate. We introduce a method to correct for tilting of the sensor array, as might be caused by travel over uneven terrain. We also show that the confidence can be used to approximate the change in sun position over time, allowing the compass to remain fixed with respect to 'true north' during long excursions. We demonstrate that the compass is robust to disturbances and can be effectively used as input to an existing neural model of insect path integration. We discuss the plausibility of our model to be mapped to known neural circuits, and to be implemented for robot navigation.</description><subject>Animal navigation</subject><subject>Animals</subject><subject>Behavior, Animal - physiology</subject><subject>Biology and Life Sciences</subject><subject>Brain</subject><subject>Brain - physiology</subject><subject>Compasses</subject><subject>Computational Biology</subject><subject>Computational neuroscience</subject><subject>Computer applications</subject><subject>Computer science</subject><subject>Computer Simulation</subject><subject>Cues</subject><subject>Ecology and Environmental Sciences</subject><subject>Engineering and Technology</subject><subject>Homing Behavior - physiology</subject><subject>Informatics</subject><subject>Insecta - physiology</subject><subject>Insects</subject><subject>International conferences</subject><subject>Light</subject><subject>Mathematical models</subject><subject>Medicine and Health Sciences</subject><subject>Models, Biological</subject><subject>Models, Neurological</subject><subject>Neural circuitry</subject><subject>Neural networks</subject><subject>Neurons</subject><subject>Optic Lobe, Nonmammalian - 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Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PLoS computational biology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Gkanias, Evripidis</au><au>Risse, Benjamin</au><au>Mangan, Michael</au><au>Webb, Barbara</au><au>Ayers, Joseph</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>From skylight input to behavioural output: A computational model of the insect polarised light compass</atitle><jtitle>PLoS computational biology</jtitle><addtitle>PLoS Comput Biol</addtitle><date>2019-07-01</date><risdate>2019</risdate><volume>15</volume><issue>7</issue><spage>e1007123</spage><epage>e1007123</epage><pages>e1007123-e1007123</pages><issn>1553-7358</issn><issn>1553-734X</issn><eissn>1553-7358</eissn><abstract>Many insects navigate by integrating the distances and directions travelled on an outward path, allowing direct return to the starting point. Fundamental to the reliability of this process is the use of a neural compass based on external celestial cues. Here we examine how such compass information could be reliably computed by the insect brain, given realistic constraints on the sky polarisation pattern and the insect eye sensor array. By processing the degree of polarisation in different directions for different parts of the sky, our model can directly estimate the solar azimuth and also infer the confidence of the estimate. We introduce a method to correct for tilting of the sensor array, as might be caused by travel over uneven terrain. We also show that the confidence can be used to approximate the change in sun position over time, allowing the compass to remain fixed with respect to 'true north' during long excursions. We demonstrate that the compass is robust to disturbances and can be effectively used as input to an existing neural model of insect path integration. 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| subjects | Animal navigation Animals Behavior, Animal - physiology Biology and Life Sciences Brain Brain - physiology Compasses Computational Biology Computational neuroscience Computer applications Computer science Computer Simulation Cues Ecology and Environmental Sciences Engineering and Technology Homing Behavior - physiology Informatics Insecta - physiology Insects International conferences Light Mathematical models Medicine and Health Sciences Models, Biological Models, Neurological Neural circuitry Neural networks Neurons Optic Lobe, Nonmammalian - physiology Optics Orientation - physiology Photoreceptor Cells, Invertebrate - physiology Physiological aspects Physiology Polarization Robotics Robots Sensor arrays Sensors Social Sciences Spatial Behavior - physiology Sun Sunlight Supervision |
| title | From skylight input to behavioural output: A computational model of the insect polarised light compass |
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