Department of Behavior and Brain Organization, Research center caesar, Bonn, Germany.
Machine Learning in Science, Eberhard Karls University of Tübingen, Tübingen, Germany.
Elife. 2021 Oct 26;10:e70838. doi: 10.7554/eLife.70838.
Mice have a large visual field that is constantly stabilized by vestibular ocular reflex (VOR) driven eye rotations that counter head-rotations. While maintaining their extensive visual coverage is advantageous for predator detection, mice also track and capture prey using vision. However, in the freely moving animal quantifying object location in the field of view is challenging. Here, we developed a method to digitally reconstruct and quantify the visual scene of freely moving mice performing a visually based prey capture task. By isolating the visual sense and combining a mouse eye optic model with the head and eye rotations, the detailed reconstruction of the digital environment and retinal features were projected onto the corneal surface for comparison, and updated throughout the behavior. By quantifying the spatial location of objects in the visual scene and their motion throughout the behavior, we show that the prey image consistently falls within a small area of the VOR-stabilized visual field. This functional focus coincides with the region of minimal optic flow within the visual field and consequently area of minimal motion-induced image-blur, as during pursuit mice ran directly toward the prey. The functional focus lies in the upper-temporal part of the retina and coincides with the reported high density-region of Alpha-ON sustained retinal ganglion cells.
老鼠具有广阔的视野,其视野通过前庭眼反射(VOR)驱动的眼球运动得以持续稳定,以抵消头部运动。虽然保持广泛的视觉覆盖范围有利于捕食者的探测,但老鼠也使用视觉来跟踪和捕捉猎物。然而,在自由运动的动物中,定量视野中的物体位置是具有挑战性的。在这里,我们开发了一种方法来对自由移动的老鼠执行基于视觉的猎物捕获任务时的视觉场景进行数字重建和量化。通过将视觉感觉与老鼠眼睛的光学模型与头部和眼球运动分离,将数字环境和视网膜特征的详细重建投射到角膜表面进行比较,并在整个行为过程中进行更新。通过量化视觉场景中物体的空间位置及其在整个行为过程中的运动,我们发现猎物图像始终落在 VOR 稳定视野的一小部分内。这个功能焦点与视野内最小光流区域以及最小运动引起的图像模糊区域一致,因为在追逐过程中,老鼠直接朝着猎物奔跑。功能焦点位于视网膜的上颞部,与报告的αON 持续视网膜神经节细胞高密度区域相吻合。