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青蛙利用嘈杂的声音场景中的统计规律来解决鸡尾酒会问题。

Frogs Exploit Statistical Regularities in Noisy Acoustic Scenes to Solve Cocktail-Party-like Problems.

机构信息

Department of Ecology, Evolution, and Behavior, University of Minnesota, Saint Paul, MN 55108, USA.

Department of Ecology, Evolution, and Behavior, University of Minnesota, Saint Paul, MN 55108, USA; Department of Fisheries, Wildlife, and Conservation Biology, University of Minnesota, Saint Paul, MN 55108, USA.

出版信息

Curr Biol. 2017 Mar 6;27(5):743-750. doi: 10.1016/j.cub.2017.01.031. Epub 2017 Feb 23.

Abstract

Noise is a ubiquitous source of errors in all forms of communication [1]. Noise-induced errors in speech communication, for example, make it difficult for humans to converse in noisy social settings, a challenge aptly named the "cocktail party problem" [2]. Many nonhuman animals also communicate acoustically in noisy social groups and thus face biologically analogous problems [3]. However, we know little about how the perceptual systems of receivers are evolutionarily adapted to avoid the costs of noise-induced errors in communication. In this study of Cope's gray treefrog (Hyla chrysoscelis; Hylidae), we investigated whether receivers exploit a potential statistical regularity present in noisy acoustic scenes to reduce errors in signal recognition and discrimination. We developed an anatomical/physiological model of the peripheral auditory system to show that temporal correlation in amplitude fluctuations across the frequency spectrum ("comodulation") [4-6] is a feature of the noise generated by large breeding choruses of sexually advertising males. In four psychophysical experiments, we investigated whether females exploit comodulation in background noise to mitigate noise-induced errors in evolutionarily critical mate-choice decisions. Subjects experienced fewer errors in recognizing conspecific calls and in selecting the calls of high-quality mates in the presence of simulated chorus noise that was comodulated. These data show unequivocally, and for the first time, that exploiting statistical regularities present in noisy acoustic scenes is an important biological strategy for solving cocktail-party-like problems in nonhuman animal communication.

摘要

噪声是各种形式的通讯中普遍存在的误差源[1]。例如,在嘈杂的社交环境中,噪声会导致语音通讯出现错误,这使得人类之间的交流变得困难,这一挑战恰当地被命名为“鸡尾酒会问题”[2]。许多非人类动物也在嘈杂的社会群体中进行声学交流,因此也面临着类似的生物学问题[3]。然而,我们对于接收者的感知系统如何通过进化来适应避免通讯中噪声引起的错误的问题知之甚少。在对库氏雨滨蛙(Hyla chrysoscelis;雨蛙科)的研究中,我们调查了接收者是否利用噪声声景中存在的潜在统计规律来减少信号识别和区分的错误[4-6]。我们开发了一个外围听觉系统的解剖/生理学模型,以表明幅度波动的时间相关性(“共调制”)在雄性进行性广告的大型繁殖合唱中产生的噪声中是一个特征[4-6]。在四项心理物理学实验中,我们调查了雌性是否利用背景噪声中的共调制来减轻在进化上关键的配偶选择决策中噪声引起的错误。在模拟合唱噪声存在的情况下,实验对象在识别同种呼叫和选择高质量伴侣的呼叫时犯的错误更少,而模拟合唱噪声是共调制的。这些数据首次明确表明,利用嘈杂声景中存在的统计规律是解决非人类动物通讯中类似鸡尾酒会问题的一种重要生物学策略。

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