Eaton-Peabody Laboratories, Massachusetts Eye and Ear Infirmary, Boston, MA 02114, USA.
Adv Exp Med Biol. 2013;787:255-62. doi: 10.1007/978-1-4614-1590-9_29.
As two sound sources become spatially separated in the horizontal plane, the binaural cues used for sound localization become distorted from their values for each sound in isolation. Because firing rates of most neurons in the inferior colliculus (IC) are sensitive to these binaural cues, we hypothesized that these neurons would be sensitive to source separation. We examined changes in the target azimuth tuning functions of IC neurons in unanesthetized rabbits caused by the concurrent presentation of an interferer at a fixed spatial location. Both target and interferer were broadband noise bursts, uncorrelated with each other. Signal detection analysis of firing rates of individual IC neurons shows that responses are correlated with psychophysical performance on segregation of spatially separated sources. The analysis also highlights the role of neural sensitivity to interaural time differences of cochlea-induced envelopes in performing this task. Psychophysical performance on source segregation was also compared to the performance of two contrasting maximum-likelihood classifiers operating on the firing rates of the population of IC neurons. The "population-pattern" classifier had access to the firing rates of every neuron in the population, while the "two-channel" classifier operated on the summed firing rates from each side of the brain. Unlike the two-channel classifier, the population-pattern classifier could segregate the sources accurately, suggesting that some of the information contained in the heterogeneity of azimuth tuning functions across IC neurons is used to segregate sources.
随着两个声源在水平面上变得空间分离,用于声音定位的双耳线索会与其在孤立状态下的每个声音的数值失真。由于下丘(IC)中的大多数神经元的放电率对这些双耳线索敏感,因此我们假设这些神经元对声源分离敏感。我们在未麻醉的兔子中检查了同时在固定空间位置呈现干扰器对 IC 神经元目标方位调谐功能的影响。目标和干扰源都是宽带噪声突发,彼此之间没有相关性。对单个 IC 神经元放电率的信号检测分析表明,反应与空间分离声源分离的心理物理性能相关。该分析还强调了耳蜗诱导包络的耳间时间差异的神经敏感性在执行此任务中的作用。声源分离的心理物理性能也与两种对比最大似然分类器在 IC 神经元群体的放电率上的性能进行了比较。“群体模式”分类器可以访问群体中每个神经元的放电率,而“双通道”分类器则可以对大脑两侧的总和放电率进行操作。与双通道分类器不同,“群体模式”分类器可以准确地分离声源,这表明 IC 神经元的方位调谐功能异质性中包含的一些信息可用于分离声源。