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绿树蛙听觉神经纤维中的AM表征:对模式识别和声音定位的神经行为学意义

AM representation in green treefrog auditory nerve fibers: neuroethological implications for pattern recognition and sound localization.

作者信息

Klump G M, Benedix J H, Gerhardt H C, Narins P M

机构信息

AG Zoophysiologie und Verhalten, Carl von Ossietzky Universität Oldenburg, 26111 Oldenburg, Germany.

出版信息

J Comp Physiol A Neuroethol Sens Neural Behav Physiol. 2004 Dec;190(12):1011-21. doi: 10.1007/s00359-004-0558-8. Epub 2004 Oct 5.

Abstract

In addition to spectral call components, temporal patterns in the advertisement-call envelope of green treefrog males ( Hyla cinerea) provide important cues for female mate choice. Rapid amplitude modulation (AM) with rates of 250-300 Hz is typical for this species' advertisement calls. Here we report data on the encoding of these rapid call modulations by studying the responses of single auditory nerve fibers to two-tone stimuli with envelope periodicities close to those of the natural call. The free-field response properties of 86 nerve fibers were studied from 32 anesthetized males. The accuracy of stimulus envelope coding was quantified using both a Gaussian function fit to the interspike interval histograms derived from the first seven 20-ms stimulus segments, and the vector-strength metric applied to the phase-locked responses. Often, AM encoding in the initial stimulus segment was more faithful than that in its second half. This result may explain why conspecific females prefer calls in which the initial segment is unmasked rather than masked. Both the questions of pattern recognition and localization are discussed, and the data are related to behavioral observations of female choice and localization performance in this species.

摘要

除了频谱鸣叫成分外,绿树蛙(Hyla cinerea)雄性的求偶鸣叫包络中的时间模式为雌性择偶提供了重要线索。该物种的求偶鸣叫通常具有250 - 300 Hz速率的快速幅度调制(AM)。在此,我们通过研究单根听神经纤维对包络周期接近自然鸣叫的双音刺激的反应,报告了关于这些快速鸣叫调制编码的数据。我们从32只麻醉的雄性绿树蛙中研究了86根神经纤维的自由场反应特性。使用高斯函数拟合从最初七个20毫秒刺激段得出的峰间距直方图,以及应用于锁相反应的矢量强度度量,对刺激包络编码的准确性进行了量化。通常,初始刺激段中的AM编码比后半段更准确。这一结果可能解释了为什么同种雌性更喜欢初始段未被掩盖而非被掩盖的鸣叫。我们讨论了模式识别和定位问题,并将数据与该物种雌性选择和定位表现的行为观察结果相关联。

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