Ryu Leesun, Kim Sung Yong, Kim Anmo J
Department of Electronic Engineering, Hanyang University, Seoul, South Korea.
Department of Biomedical Engineering, Hanyang University, Seoul, South Korea.
Front Neurosci. 2022 May 4;16:883640. doi: 10.3389/fnins.2022.883640. eCollection 2022.
Neural implementations of visual behaviors in have been dissected intensively in the past couple of decades. The availability of premiere genetic toolkits, behavioral assays in tethered or freely moving conditions, and advances in connectomics have permitted the understanding of the physiological and anatomical details of the nervous system underlying complex visual behaviors. In this review, we describe recent advances on how various features of a visual scene are detected by the visual system and how the neural circuits process these signals and elicit an appropriate behavioral response. Special emphasis was laid on the neural circuits that detect visual features such as brightness, color, local motion, optic flow, and translating or approaching visual objects, which would be important for behaviors such as phototaxis, optomotor response, attraction (or aversion) to moving objects, navigation, and visual learning. This review offers an integrative framework for how the fly brain detects visual features and orchestrates an appropriate behavioral response.
在过去几十年里,人们对[某种生物]视觉行为的神经机制进行了深入剖析。一流的遗传工具包、在束缚或自由移动条件下的行为分析方法以及连接组学的进展,使得人们能够了解复杂视觉行为背后神经系统的生理和解剖细节。在这篇综述中,我们描述了[某种生物]视觉系统如何检测视觉场景的各种特征,以及神经回路如何处理这些信号并引发适当行为反应的最新进展。特别强调了检测亮度、颜色、局部运动、光流以及平移或接近的视觉对象等视觉特征的神经回路,这些对于趋光性、视动反应、对移动物体的吸引(或厌恶)、导航和视觉学习等行为非常重要。这篇综述为果蝇大脑如何检测视觉特征并协调适当的行为反应提供了一个综合框架。