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在大斑草螽中,先天释放机制对声学通讯信号退化的稳健性。

Robustness of an innate releasing mechanism against degradation of acoustic communication signals in the grasshopper Chorthippus biguttulus.

作者信息

Krämer Stefanie, Ronacher Bernhard

机构信息

Behavioural Physiology Group, Department of Biology, Humboldt-Universität zu Berlin, 10099, Berlin, Germany.

出版信息

J Comp Physiol A Neuroethol Sens Neural Behav Physiol. 2018 Mar;204(3):319-328. doi: 10.1007/s00359-017-1243-z. Epub 2018 Jan 2.

DOI:10.1007/s00359-017-1243-z
PMID:29294159
Abstract

Noise is a challenge for animals that use acoustic communication to find a mate. A potent source of noise in animal communication is that arising from other conspecific signals, whose co-occurrence can result in extensive interference-evident as the so called "cocktail-party problem"-that may affect the receiver mechanisms to detect potential mates. We studied grasshopper females to explore how modifications of the song pattern influence song recognition. First, we degraded an attractive model song with random fluctuations of increasing amplitudes out of different frequency bands, and determined "critical degradation levels" at which the females ceased to respond. A masker band with frequencies between 0 and 200 Hz, which covers the frequency range of the natural song envelope, was by 3-5 dB more destructive in hampering signal recognition than frequencies above 200 Hz. As second approach, we applied temporal disturbances such as accentuations or gaps at different positions within the song subunits and observed how response behavior was affected. Accentuations at subunit start increased, whereas those in the midst or at the end of a subunit reduced attractiveness. Gaps at these positions had diverse effects. The results are discussed with respect to neuronal filtering.

摘要

对于利用声学交流来寻找配偶的动物而言,噪音是一项挑战。动物交流中一个强大的噪音源是来自其他同种信号的噪音,这些信号的同时出现会导致广泛的干扰——这表现为所谓的“鸡尾酒会问题”——可能会影响接收机制对潜在配偶的探测。我们研究了雌性蚱蜢,以探究歌声模式的改变如何影响歌声识别。首先,我们用不同频段中振幅不断增加的随机波动来降低一首有吸引力的示范歌曲的质量,并确定雌性蚱蜢停止做出反应时的“临界退化水平”。一个频率在0到200赫兹之间的掩蔽频段,覆盖了自然歌声包络的频率范围,在阻碍信号识别方面比200赫兹以上的频率更具破坏性,其破坏程度要高出3至5分贝。作为第二种方法,我们在歌曲子单元内的不同位置施加了诸如重音或间隙等时间干扰,并观察反应行为是如何受到影响的。子单元开头的重音增加了吸引力,而子单元中间或结尾的重音则降低了吸引力。这些位置的间隙产生了不同影响。我们结合神经元过滤对结果进行了讨论。

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引用本文的文献

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本文引用的文献

1
Noise affects the shape of female preference functions for acoustic signals.噪音会影响雌性对声学信号的偏好函数的形状。
Evolution. 2015 Feb;69(2):381-94. doi: 10.1111/evo.12592. Epub 2015 Jan 20.
2
Feature extraction and integration underlying perceptual decision making during courtship behavior.求偶行为中知觉决策的特征提取与整合。
J Neurosci. 2013 Jul 17;33(29):12136-45. doi: 10.1523/JNEUROSCI.0724-13.2013.
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Nonlinear computations underlying temporal and population sparseness in the auditory system of the grasshopper.
蝗虫听觉系统中时间和种群稀疏性的非线性计算。
J Neurosci. 2012 Jul 18;32(29):10053-62. doi: 10.1523/JNEUROSCI.5911-11.2012.
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Influence of different envelope maskers on signal recognition and neuronal representation in the auditory system of a grasshopper.不同包络掩蔽物对直翅目昆虫听觉系统中信号识别和神经元表示的影响。
PLoS One. 2012;7(3):e34384. doi: 10.1371/journal.pone.0034384. Epub 2012 Mar 30.
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Dip listening and the cocktail party problem in grey treefrogs: Signal recognition in temporally fluctuating noise.灰树蛙的双听与鸡尾酒会问题:在时间波动噪声中的信号识别
Anim Behav. 2011 Dec;82(6):1319-1327. doi: 10.1016/j.anbehav.2011.09.015.
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Grasshopper calling songs convey information about condition and health of males.蝗虫求偶叫声传达了雄性个体的状况和健康信息。
J Comp Physiol A Neuroethol Sens Neural Behav Physiol. 2012 Apr;198(4):309-18. doi: 10.1007/s00359-012-0709-2. Epub 2012 Jan 13.
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Solutions to the cocktail party problem in insects: selective filters, spatial release from masking and gain control in tropical crickets.昆虫鸡尾酒会问题的解决方案:选择性滤波器、热带蟋蟀的掩蔽释放和增益控制。
PLoS One. 2011;6(12):e28593. doi: 10.1371/journal.pone.0028593. Epub 2011 Dec 6.
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Efficient transformation of an auditory population code in a small sensory system.在一个小型感觉系统中,听觉群体编码的高效转换。
Proc Natl Acad Sci U S A. 2011 Aug 16;108(33):13812-7. doi: 10.1073/pnas.1104506108. Epub 2011 Aug 8.
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High background noise shapes selective auditory filters in a tropical cricket.高背景噪声塑造热带蟋蟀的选择性听觉滤波器。
J Exp Biol. 2011 May 15;214(Pt 10):1754-62. doi: 10.1242/jeb.053819.
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Neuronal precision and the limits for acoustic signal recognition in a small neuronal network.神经元的精确性与小型神经网络中声信号识别的极限。
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