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A Model for an Angular Velocity-Tuned Motion Detector Accounting for Deviations in the Corridor-Centering Response of the Bee

机译:角速度调整型运动检测器的模型该模型考虑了蜜蜂的走廊居中响应中的偏差

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摘要

We present a novel neurally based model for estimating angular velocity (AV) in the bee brain, capable of quantitatively reproducing experimental observations of visual odometry and corridor-centering in free-flying honeybees, including previously unaccounted for manipulations of behaviour. The model is fitted using electrophysiological data, and tested using behavioural data. Based on our model we suggest that the AV response can be considered as an evolutionary extension to the optomotor response. The detector is tested behaviourally in silico with the corridor-centering paradigm, where bees navigate down a corridor with gratings (square wave or sinusoidal) on the walls. When combined with an existing flight control algorithm the detector reproduces the invariance of the average flight path to the spatial frequency and contrast of the gratings, including deviations from perfect centering behaviour as found in the real bee’s behaviour. In addition, the summed response of the detector to a unit distance movement along the corridor is constant for a large range of grating spatial frequencies, demonstrating that the detector can be used as a visual odometer.
机译:我们提出了一种新的基于神经网络的模型,用于估计蜜蜂大脑中的角速度(AV),该模型能够定量重现自由飞行的蜜蜂的视觉里程数和走廊居中的实验观察结果,包括以前无法进行的行为操纵。使用电生理数据拟合模型,并使用行为数据进行测试。根据我们的模型,我们建议将AV反应视为对光动力反应的进化延伸。该检测器使用走廊居中模式在计算机上进行行为测试,其中蜜蜂沿着墙壁上带有光栅(方波或正弦波)的走廊向下导航。当与现有的飞行控制算法结合使用时,探测器可以再现平均飞行路径对空间频率和光栅对比度的不变性,包括与真实蜜蜂行为中发现的完美定心行为的偏差。此外,对于大范围的光栅空间频率,探测器对沿走廊单位距离运动的总响应是恒定的,这表明该探测器可用作可视里程表。

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