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首页> 外文期刊>The European Journal of Neuroscience >Representation of echo roughness and its relationship to amplitude-modulation processing in the bat auditory midbrain.
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Representation of echo roughness and its relationship to amplitude-modulation processing in the bat auditory midbrain.

机译：蝙蝠听觉中脑中回声粗糙度的表示及其与振幅调制处理的关系。

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Bats use natural landmarks such as trees for orientation. Echoes reflected by a tree are stochastic and complex. The degree of irregular loudness fluctuations of perceived echoes, i.e. the echo roughness, may be used to classify natural objects reliably. Bats are able to discriminate and classify echoes of different roughness. A neural correlate of the psychophysical roughness sensitivity has been described in the auditory cortex of the bat Phyllostomus discolor. Here, the role of the inferior colliculus of P. discolor is explored in the neural representation of echo roughness. Using extracellular recording techniques, responses were obtained to simulated stochastic echoes of different roughness. The representation of these irregular loudness fluctuations in echoes is compared to the representation of periodic loudness fluctuations elicited by sinusoidal amplitude modulation (SAM) and to the shape of the peri-stimulus time histogram in response to pure tones. About half the recorded units responded significantly differently to echoes with different roughness. Roughness sensitivity was related to the units' sensitivity to the depth of an SAM: units that responded best to strong SAMs also responded best to echoes of high roughness. In response to pure tones, these units were typically characterized as Onset units. In contrast to the auditory cortex experiments, the responses of many units in the inferior colliculus decreased with increasing echo roughness. These units typically preferred weak SAMs and showed a sustained response to pure tones. The data show that auditory midbrain sensitivity to SAM is an important prerequisite for the neural representation of echo roughness as an ecologically important echo-acoustic parameter.
机译：蝙蝠使用自然地标（例如树木）进行定向。一棵树反射出的回声是随机而复杂的。感知回波的不规则响度波动的程度，即回波粗糙度，可以用来可靠地对自然物体进行分类。蝙蝠能够区分和分类不同粗糙度的回波。蝙蝠毛状变色的听觉皮层描述了心理生理粗糙度敏感性的神经相关性。在这里，在回声粗糙度的神经表示中探索了变色假单胞菌的作用。使用细胞外记录技术，获得了对不同粗糙度的模拟随机回波的响应。将回声中这些不规则响度波动的表示形式与由正弦振幅调制（SAM）引起的周期性响度波动的表示形式以及响应纯音的刺激周围时间直方图的形状进行比较。大约一半的记录单位对具有不同粗糙度的回波的响应明显不同。粗糙度敏感性与设备对SAM深度的敏感性有关：对强SAM响应最佳的设备对高粗糙度回波的响应也最好。响应于纯音，这些单元通常被表征为起始单元。与听觉皮层实验相反，下丘的许多单位的反应随着回声粗糙度的增加而降低。这些单元通常更喜欢弱SAM，并表现出对纯音的持续响应。数据表明，听觉中脑对SAM的敏感性是将回声粗糙度作为具有生态学意义的重要回声参数的神经表示的重要前提。

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