A Model for an Angular Velocity-Tuned Motion Detector Accounting for Deviations in the Corridor-Centering Response of the Bee.
A Model for an Angular Velocity-Tuned Motion Detector Accounting for Deviations in the Corridor-Centering Response of the Bee.
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DOI：
10.1371/journal.pcbi.1004887
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发表时间：
2016-05
影响因子：
4.3
通讯作者：
Marshall JA
中科院分区：
文献类型：
--
作者：
Cope AJ;Sabo C;Gurney K;Vasilaki E;Marshall JA
我们提出了一种新的基于神经的蜜蜂大脑角速度（AV）估算模型，该模型能够定量再现自由飞行蜜蜂的视觉测距和走廊居中的实验观察结果，包括以前无法计算的行为操纵。该模型使用电生理数据进行拟合，并使用行为数据进行测试。根据我们的模型，我们认为视听反应可被视为视运动反应的进化延伸。该检测器通过走廊居中范例进行了行为测试，蜜蜂沿着墙壁上有光栅（方波或正弦波）的走廊前进。当与现有的飞行控制算法相结合时，检测器再现了平均飞行路径对光栅的空间频率和对比度的不变性，包括在真实蜜蜂行为中发现的完全居中行为的偏差。此外，在光栅空间频率的很大范围内，探测器对沿走廊单位距离移动的总和响应是恒定的，这表明探测器可用作视觉里程表。
我们对蜜蜂如何能够在复杂环境中导航很感兴趣。实验证据表明，蜜蜂利用对图案在复眼中移动速度（角速度）的估计来控制自己的行为和避开障碍物，但人们对用于提取这一信息的大脑回路还不了解。我们创建了一个模型，利用少量假设来展示一套合理的电路。由于蜜蜂只能提取角速度的估计值，因此它们的行为与完美角速度检测的预期行为存在差异，而我们的模型再现了这些差异。
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. We are interested in how bees are capable of navigating complex environments. Experimental evidence shows that they use an estimate of the speed that patterns move across their compound eyes (angular velocity) to control their behaviour and avoid obstacles, however the brain circuitry used to extract this information is not understood. We have created a model that uses a small number of assumptions to demonstrate a plausible set of circuitry. Since bees only extract an estimate of angular velocity they show differences from the expected behaviour for perfect angular velocity detection, and our model reproduces these differences.
DOI：
10.1085/jgp.67.4.475
发表时间：
1976-04
期刊：
The Journal of general physiology
影响因子：
--
作者：
Bader C;Baumann F;Bertrand D
通讯作者：
Bertrand D