Across the animal kingdom, social interactions rely on sound production and perception. From simple cricket chirps to more elaborate bird songs, animals go to great lengths to communicate information critical for reproduction and survival via acoustic signals. Insects produce a wide array of songs to attract a mate, and the intended receivers must differentiate these calls from competing sounds, analyze the quality of the sender from spectrotemporal signal properties, and then determine how to react. Insects use numerically simple nervous systems to analyze and respond to courtship songs, making them ideal model systems for uncovering the neural mechanisms underlying acoustic pattern recognition. We highlight here how the combination of behavioral studies and neural recordings in three groups of insects-crickets, grasshoppers, and fruit flies-reveals common strategies for extracting ethologically relevant information from acoustic patterns and how these findings might translate to other systems.

中文翻译：

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声学模式识别和求爱歌曲：昆虫的见解。

在整个动物界，社会互动都依赖于声音的产生和感知。从简单的声到更加精致的鸟鸣声，动物都竭尽全力通过声音信号传达对繁殖和生存至关重要的信息。昆虫会产生各种各样的歌曲来吸引伴侣，目标接收者必须将这些呼叫与竞争声音区分开来，从光谱时信号特性分析发送者的质量，然后确定如何做出反应。昆虫使用数字简单的神经系统来分析和响应求爱歌曲，使其成为揭示声学模式识别基础的神经机制的理想模型系统。我们在这里重点介绍如何将行为研究与神经记录相结合，分为三组：,、蚱,、