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Eyes Matched to the Prize: The State of Matched Filters in Insect Visual Circuits

机译:眼中的奖品:昆虫视觉电路中匹配滤镜的状态

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摘要

Confronted with an ever-changing visual landscape, animals must be able to detect relevant stimuli and translate this information into behavioral output. A visual scene contains an abundance of information: to interpret the entirety of it would be uneconomical. To optimally perform this task, neural mechanisms exist to enhance the detection of important features of the sensory environment while simultaneously filtering out irrelevant information. This can be accomplished by using a circuit design that implements specific “matched filters” that are tuned to relevant stimuli. Following this rule, the well-characterized visual systems of insects have evolved to streamline feature extraction on both a structural and functional level. Here, we review examples of specialized visual microcircuits for vital behaviors across insect species, including feature detection, escape, and estimation of self-motion. Additionally, we discuss how these microcircuits are modulated to weigh relevant input with respect to different internal and behavioral states.
机译:面对不断变化的视觉环境,动物必须能够检测到相关的刺激并将这些信息转化为行为输出。视觉场景包含大量信息:要解释全部信息将是不经济的。为了最佳地执行此任务,存在神经机制来增强对感觉环境重要特征的检测,同时过滤掉无关的信息。这可以通过使用实现特定“匹配滤波器”的电路设计来实现,这些“匹配滤波器”已根据相关刺激进行了调整。遵循此规则,昆虫的特征鲜明的视觉系统已经演化为在结构和功能级别上简化了特征提取。在这里,我们回顾了专门的可视化微电路示例,这些电路可用于跨昆虫物种的重要行为,包括特征检测,逃生和自我运动估计。此外,我们讨论了如何调制这些微电路以权衡有关不同内部和行为状态的相关输入。

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