...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>The European Journal of Neuroscience >Absolute auditory threshold: testing the absolute
【24h】

Absolute auditory threshold: testing the absolute

机译：绝对听觉阈值：测试绝对值

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

The mechanisms underlying the detection of sounds in quiet, one of the simplest tasks for auditory systems, are debated. Several models proposed to explain the threshold for sounds in quiet and its dependence on sound parameters include a minimum sound intensity ('hard threshold'), below which sound has no effect on the ear. Also, many models are based on the assumption that threshold is mediated by integration of a neural response proportional to sound intensity. Here, we test these ideas. Using an adaptive forced choice procedure, we obtained thresholds of 95 normal-hearing human ears for 18 tones (3.125 kHz carrier) in quiet, each with a different temporal amplitude envelope. Grand-mean thresholds and standard deviations were well described by a probabilistic model according to which sensory events are generated by a Poisson point process with a low rate in the absence, and higher, time-varying rates in the presence, of stimulation. The subject actively evaluates the process and bases the decision on the number of events observed. The sound-driven rate of events is proportional to the temporal amplitude envelope of the bandpass-filtered sound raised to an exponent. We find no evidence for a hard threshold: When the model is extended to include such a threshold, the fit does not improve. Furthermore, we find an exponent of 3, consistent with our previous studies and further challenging models that are based on the assumption of the integration of a neural response that, at threshold sound levels, is directly proportional to sound amplitude or intensity.
机译：安静环境下声音的检测机制是听觉系统最简单的任务之一，目前仍存在争议。为了解释安静环境中声音的阈值及其对声音参数的依赖性，提出了几种模型，包括最小声强（“硬阈值”），低于该阈值，声音对耳朵没有影响。此外，许多模型都基于这样的假设，即阈值由与声音强度成比例的神经反应的积分来调节。在这里，我们测试这些想法。使用自适应强制选择程序，我们获得了95只正常听力人耳在安静环境下18个音调（3.125 kHz载波）的阈值，每个音调都有不同的时间振幅包络。概率模型很好地描述了大平均阈值和标准差，根据概率模型，感觉事件是由泊松点过程产生的，在没有刺激时发生率较低，在有刺激时发生率较高。受试者积极评估过程，并根据观察到的事件数量做出决定。声音驱动的事件率与带通滤波声音的时间振幅包络线成正比，该包络线提高到一个指数。我们没有发现硬阈值的证据：当模型扩展到包含这样一个阈值时，拟合没有改善。此外，我们发现指数为3，这与我们之前的研究以及基于神经反应整合假设的更具挑战性的模型一致，在阈值声级下，神经反应与声音振幅或强度成正比。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号