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Tonotopic Tuning in a Sound Localization Circuit

机译:声音本地化电路中的音调调整

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摘要

Nucleus laminaris (NL) neurons encode interaural time difference (ITD), the cue used to localize low-frequency sounds. A physiologically based model of NL input suggests that ITD information is contained in narrow frequency bands around harmonics of the sound frequency. This suggested a theory, which predicts that, for each tone frequency, there is an optimal time course for synaptic inputs to NL that will elicit the largest modulation of NL firing rate as a function of ITD. The theory also suggested that neurons in different tonotopic regions of NL require specialized tuning to take advantage of the input gradient. Tonotopic tuning in NL was investigated in brain slices by separating the nucleus into three regions based on its anatomical tonotopic map. Patch-clamp recordings in each region were used to measure both the synaptic and the intrinsic electrical properties. The data revealed a tonotopic gradient of synaptic time course that closely matched the theoretical predictions. We also found postsynaptic band-pass filtering. Analysis of the combined synaptic and postsynaptic filters revealed a frequency-dependent gradient of gain for the transformation of tone amplitude to NL firing rate modulation. Models constructed from the experimental data for each tonotopic region demonstrate that the tonotopic tuning measured in NL can improve ITD encoding across sound frequencies.
机译:椎板核(NL)神经元编码听觉时间差(ITD),这是用来定位低频声音的提示。基于生理学的NL输入模型表明,ITD信息包含在声频谐波周围的狭窄频带中。这提出了一种理论,该理论预测,对于每个音调频率,对于NL的突触输入都有一个最佳的时间过程,这将引起最大的NL发射速率调制作为ITD的函数。该理论还表明,NL的不同Tonotopic区域中的神经元需要进行专门的调整才能利用输入梯度。 NL中的Tonotopic调优是通过根据其解剖学Tonotopic贴图将细胞核分为三个区域在大脑切片中进行研究的。每个区域中的膜片钳记录用于测量突触和固有电特性。数据显示突触时程的色调梯度与理论预测非常吻合。我们还发现了突触后带通滤波。组合的突触和突触后滤波器的分析表明,音调幅度向NL发射速率调制的转换具有增益随频率变化的梯度。从每个声调区域的实验数据构建的模型表明,在NL中测得的声调调整可以改善整个声频的ITD编码。

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