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Computational principles underlying the recognition of acoustic signals in insects

机译：昆虫声信号识别基础的计算原理

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摘要

Many animals produce pulse-like signals during acoustic communication. These signals exhibit structure on two time scales: they consist of trains of pulses that are often broadcast in packets-so called chirps. Temporal parameters of the pulse and of the chirp are decisive for female preference. Despite these signals being produced by animals from many different taxa (e.g. frogs, grasshoppers, crickets, bushcrickets, flies), a general framework for their evaluation is still lacking. We propose such a framework, based on a simple and physiologically plausible model. The model consists of feature detectors, whose time-varying output is averaged over the signal and then linearly combined to yield the behavioral preference. We fitted this model to large data sets collected in two species of crickets and found that Gabor filters-known from visual and auditory physiology-explain the preference functions in these two species very well. We further explored the properties of Gabor filters and found a systematic relationship between parameters of the filters and the shape of preference functions. Although these Gabor filters were relatively short, they were also able to explain aspects of the preference for signal parameters on the longer time scale due to the integration step in our model. Our framework explains a wide range of phenomena associated with female preference for a widespread class of signals in an intuitive and physiologically plausible fashion. This approach thus constitutes a valuable tool to understand the functioning and evolution of communication systems in many species.
机译：许多动物在声音交流过程中会产生类似脉冲的信号。这些信号在两个时标上显示出结构：它们由脉冲序列组成，这些脉冲序列通常以数据包的形式广播，即所谓的线性调频。脉冲和the的时间参数决定了女性的喜好。尽管来自许多不同类群的动物（例如青蛙，蚱hopper，，丛林bush，苍蝇）发出了这些信号，但仍缺乏评估它们的通用框架。我们提出了一个基于简单且生理上合理的模型的框架。该模型由特征检测器组成，其时变输出在信号上取平均值，然后线性组合以产生行为偏好。我们将此模型拟合到从两种species中收集的大量数据集，发现从视觉和听觉生理学角度已知的Gabor过滤器很好地解释了这两种species的偏好功能。我们进一步探索了Gabor滤波器的性质，并发现了滤波器参数与偏好函数形状之间的系统关系。尽管这些Gabor滤波器相对较短，但由于我们模型中的积分步骤，它们也能够在较长的时间范围内解释对信号参数的偏爱方面。我们的框架以直观且生理上合理的方式解释了与女性偏爱广泛的信号类别相关的多种现象。因此，这种方法构成了了解许多物种中通信系统的功能和进化的宝贵工具。

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  • 来源
    《Journal of Computational Neuroscience》 |2013年第1期|75-85|共11页
  • 作者

    Jan Clemens; R. Matthias Hennig;

  • 作者单位

    Behavioral Physiology Group, Department of Biology, Humboldt-Universitaet zu Berlin, 10115 Berlin, Germany,Bernstein Center for Computational Neuroscience Berlin, 10115 Berlin, Germany Princeton Neuroscience Institute, Princeton University, Princeton, NJ 08544, USA;

    Behavioral Physiology Group, Department of Biology, Humboldt-Universitaet zu Berlin, 10115 Berlin, Germany;

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  • 正文语种 eng
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  • 关键词

    Perceptual decision making; Insect; Song; Linear-nonlinear model; Gabor filter;

    机译：感知决策;昆虫;歌曲;线性-非线性模型;伽柏过滤器;

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