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首页> 外文期刊>The Journal of Neuroscience: The Official Journal of the Society for Neuroscience >Decorrelation sensitivity of auditory nerve and anteroventral cochlear nucleus fibers to broadband and narrowband noise.
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Decorrelation sensitivity of auditory nerve and anteroventral cochlear nucleus fibers to broadband and narrowband noise.

机译:透析神经和砧术耳蜗核纤维对宽带和窄带噪声的去相关性敏感性。

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Binaural neurons show remarkable sensitivity to temporal differences in the waveforms at the two ears. This ability obviously requires temporal coding of sound waveforms in the monaural afferents that converge on such binaural neurons. We introduce a new analysis to investigate how well responses of single monaural neurons support discrimination of decorrelations in waveforms. Spike trains from auditory nerve (AN) and anteroventral cochlear nucleus (AVCN) neurons of cats to many repetitions of a set of broadband and narrowband noise tokens were obtained. The normalized correlation between the noise tokens ranged from 0.99 to -1. A coincidence and signal detection analysis was used to perform a correlation discrimination task using the monaural spike trains. The correlation discrimination thresholds derived from AVCN neurons were lower than those derived from AN fibers and sometimes as low as human psychophysical just noticeable differences. Importantly, low detection thresholds required comparisons of spike trains at small internal delays. Bandwidth dependence of neural decorrelation thresholds agreed with psychophysical data when large internal delays contributed to the detection. We conclude that, in the context of correlation discrimination, coding by AVCN fibers is superior to that by AN fibers and that these discriminations require a distribution of internal or best delays in binaural processing that differs from the predictions from studies of discrimination in interaural time delays.
机译:双耳神经元对两只耳朵的波形中的时间差异显着敏感。这种能力显然需要在这种双耳伴神经元中收敛的单声道传统中的声波形的时间编码。我们介绍了一个新的分析,以调查单个单机神经元支持波形去相关性辨别的响应程度。获得猫的听觉神经(AN)和砧座耳蜗核(AVCN)神经元的尖峰列车获得了一组宽带和窄带噪声令牌的许多重复。噪声令牌之间的归一化相关性从0.99到-1。使用单声道尖峰列车进行巧合和信号检测分析来执行相关鉴别任务。源自AVCN神经元的相关鉴别阈值低于衍生自纤维的相关判断阈值,并且有时低至人类心理物理只有明显的差异。重要的是,低检测阈值在小内部延迟下需要比较尖峰列车。当大型内部延迟导致检测的大型内部延迟有助于时,神经去相关性阈值的带宽依赖性依赖于心理物理数据。我们得出结论,在相关鉴别的背景下,AVCN纤维的编码优于纤维,并且这些鉴别需要在双耳处理中分布内部或最佳延迟的分布,这些过程中的内部时间延迟中的识别研究的预测不同。

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