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昆虫的视觉运动计算

Visual motor computations in insects.

作者信息

Srinivasan Mandyam V, Zhang Shaowu

机构信息

Center for Visual Science, Research School of Biological Sciences, Australian National University, P.O. Box 475, Canberra, A.C.T. 2601, Australia.

出版信息

Annu Rev Neurosci. 2004;27:679-96. doi: 10.1146/annurev.neuro.27.070203.144343.

Abstract

With their relatively simple nervous systems and purpose-designed behaviors and reflexes, insects are an excellent organism in which to investigate how visual information is acquired and processed to guide locomotion and navigation. Flies maintain a straight course and monitor their motion through the environment by sensing the patterns of optic flow induced in the eyes. Bees negotiate narrow gaps by balancing the speeds of the images in their two eyes, and they control flight speed by holding constant the average image velocity as seen with their two eyes. Bees achieve a smooth landing on a horizontal surface by holding the image velocity of the surface constant during approach, thus ensuring that flight speed is automatically close to zero at touchdown. Foraging bees estimate the distance that they have traveled to reach a food source by integrating the optic flow experienced en route; this integration gives them a visually driven "odometer." Insects have also evolved sophisticated visuomotor mechanisms for pursuing prey or mates and possibly for concealing their own motion while shadowing objects of interest.

摘要

昆虫具有相对简单的神经系统以及专门设计的行为和反射,是研究视觉信息如何获取和处理以指导运动和导航的极佳生物体。苍蝇通过感知眼睛中诱导的光流模式来保持直线飞行并监测其在环境中的运动。蜜蜂通过平衡两只眼睛中图像的速度来穿过狭窄缝隙,并且通过保持两只眼睛看到的平均图像速度恒定来控制飞行速度。蜜蜂在接近水平面时通过保持表面的图像速度恒定来实现平稳着陆,从而确保在触地时飞行速度自动接近零。觅食的蜜蜂通过整合途中经历的光流来估计它们到达食物源所行进的距离;这种整合为它们提供了一个视觉驱动的“里程表”。昆虫还进化出了复杂的视觉运动机制来追捕猎物或配偶,并且可能在跟踪感兴趣的物体时隐藏自己的运动。

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