Time and timing in the acoustic recognition system of crickets.

Time and timing in the acoustic recognition system of crickets.
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DOI:
10.3389/fphys.2014.00286
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发表时间:
2014
影响因子:
4
通讯作者:
Clemens J
Clemens J
中科院分区:
医学2区
文献类型:
--
作者:
Hennig RM;Heller KG;Clemens J

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许多昆虫的鸣叫表现出精确的时间,这是在几个时间尺度上重复和定型的亚单位的结果。由于这些信号编码了一个物种的身份,时间和时机对分析这些信号的识别系统很重要。蟋蟀就是一个突出的例子,因为它们的歌声是由声音脉冲构成的,这些声音脉冲以长颤音或啁啾的形式传播。这种模式似乎是在两个时间尺度上分析的,短的和长的。最近的证据表明,蟋蟀的鸣声识别依赖于两种关于时间的计算;一种短线性-非线性(LN)模型,作为脉冲率的滤波器,并具有较长的积分时间窗口,用于监测歌曲能量随时间的变化。因此,时机有双重作用。脉冲速率滤波器显示微分特性,其中激励和抑制的特定时间是重要的。然而,对于积分器来说,时间窗口的持续时间比事件的精确定时更重要。在这里,我们首先回顾了ln模型和整合时间窗口在蟋蟀鸣叫识别中的作用的证据。然后,我们通过Gabor函数参数化滤波器部分,并探索持续时间、频率、相位和偏移量的影响,因为这些将对应于不同的激励和抑制的时间模式。将这些过滤特性与已知蟋蟀和蝈蝈的偏好函数进行了比较。在一种比较方法中,用超过100种蟋蟀的叫声测试了ln模型对歌曲的辨别能力。它展示了蟋蟀的声音信号如何占据一个简单的二维空间,用于歌曲识别,该空间由Gabor函数和时间(集成窗口)描述的时间产生。最后,我们讨论了基于简单感官计算的昆虫识别系统的进化。
The songs of many insects exhibit precise timing as the result of repetitive and stereotyped subunits on several time scales. As these signals encode the identity of a species, time and timing are important for the recognition system that analyzes these signals. Crickets are a prominent example as their songs are built from sound pulses that are broadcast in a long trill or as a chirped song. This pattern appears to be analyzed on two timescales, short and long. Recent evidence suggests that song recognition in crickets relies on two computations with respect to time; a short linear-nonlinear (LN) model that operates as a filter for pulse rate and a longer integration time window for monitoring song energy over time. Therefore, there is a twofold role for timing. A filter for pulse rate shows differentiating properties for which the specific timing of excitation and inhibition is important. For an integrator, however, the duration of the time window is more important than the precise timing of events. Here, we first review evidence for the role of LN-models and integration time windows for song recognition in crickets. We then parameterize the filter part by Gabor functions and explore the effects of duration, frequency, phase, and offset as these will correspond to differently timed patterns of excitation and inhibition. These filter properties were compared with known preference functions of crickets and katydids. In a comparative approach, the power for song discrimination by LN-models was tested with the songs of over 100 cricket species. It is demonstrated how the acoustic signals of crickets occupy a simple 2-dimensional space for song recognition that arises from timing, described by a Gabor function, and time, the integration window. Finally, we discuss the evolution of recognition systems in insects based on simple sensory computations.
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