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Comparative system identification of flower tracking performance in three hawkmoth species reveals adaptations for dim light vision

机译:比较系统鉴定的三个鹰蛾物种的花朵追踪性能揭示了对弱光视觉的适应性

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摘要

Flight control in insects is heavily dependent on vision. Thus, in dim light, the decreased reliability of visual signal detection also prompts consequences for insect flight. We have an emerging understanding of the neural mechanisms that different species employ to adapt the visual system to low light. However, much less explored are comparative analyses of how low light affects the flight behaviour of insect species, and the corresponding links between physiological adaptations and behaviour. We investigated whether the flower tracking behaviour of three hawkmoth species with different diel activity patterns revealed luminance-dependent adaptations, using a system identification approach. We found clear luminance-dependent differences in flower tracking in all three species, which were explained by a simple luminance-dependent delay model, which generalized across species. We discuss physiological and anatomical explanations for the variance in tracking responses, which could not be explained by such simple models. Differences between species could not be explained by the simple delay model. However, in several cases, they could be explained through the addition on a second model parameter, a simple scaling term, that captures the responsiveness of each species to flower movements. Thus, we demonstrate here that much of the variance in the luminance-dependent flower tracking responses of hawkmoths with different diel activity patterns can be captured by simple models of neural processing.This article is part of the themed issue ‘Vision in dim light’.
机译:昆虫的飞行控制在很大程度上取决于视觉。因此,在昏暗的灯光下,视觉信号检测可靠性的降低也提示了昆虫逃逸的后果。我们对不同物种用来使视觉系统适应弱光的神经机制有了新的认识。然而,关于弱光如何影响昆虫的飞行行为以及生理适应和行为之间的相应联系的比较分析,探索的却很少。我们使用系统识别方法调查了具有不同diel活性模式的三个鹰蛾物种的花朵追踪行为是否显示出亮度依赖性的适应性。我们在所有三个物种的花朵追踪中发现了明显的亮度相关差异,这可以通过一个简单的亮度相关延迟模型来解释,该模型在物种中普遍存在。我们讨论了跟踪响应方差的生理和解剖学解释,这种简单模型无法解释这些解释。简单延迟模型无法解释物种之间的差异。但是,在某些情况下,可以通过添加第二个模型参数(一个简单的比例尺术语)来解释它们,该参数捕获每个物种对花朵运动的响应。因此,我们在这里证明,可以通过简单的神经处理模型来捕获具有不同diel活动模式的天蛾依赖于亮度的花朵追踪响应中的许多方差。本文是主题“暗光下的视觉”的一部分。

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