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A Neural Model of Auditory Space Compatible with Human Perception under Simulated Echoic Conditions

机译:模拟回声条件下与人类感知相适应的听觉空间神经模型

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摘要

In a typical auditory scene, sounds from different sources and reflective surfaces summate in the ears, causing spatial cues to fluctuate. Prevailing hypotheses of how spatial locations may be encoded and represented across auditory neurons generally disregard these fluctuations and must therefore invoke additional mechanisms for detecting and representing them. Here, we consider a different hypothesis in which spatial perception corresponds to an intermediate or sub-maximal firing probability across spatially selective neurons within each hemisphere. The precedence or Haas effect presents an ideal opportunity for examining this hypothesis, since the temporal superposition of an acoustical reflection with sounds arriving directly from a source can cause otherwise stable cues to fluctuate. Our findings suggest that subjects’ experiences may simply reflect the spatial cues that momentarily arise under various acoustical conditions and how these cues are represented. We further suggest that auditory objects may acquire “edges” under conditions when interaural time differences are broadly distributed.
机译:在典型的听觉场景中,来自不同来源和反射面的声音会在耳朵中累加,导致空间提示发生波动。关于如何在听觉神经元之间编码和表示空间位置的普遍假设通常会忽略这些波动,因此必须调用其他机制来检测和表示它们。在这里,我们考虑了一个不同的假设,其中空间感知对应于每个半球内跨空间选择性神经元的中等或次最大激发概率。先验或哈斯效应为检验该假设提供了理想的机会,因为声反射与直接来自声源的声音在时间上的叠加会导致原本稳定的提示发生波动。我们的发现表明,受试者的经历可能只是反映了在各种声学条件下瞬间出现的空间线索以及这些线索的表示方式。我们进一步建议,在听觉时间差分布广泛的条件下,听觉对象可能会获得“边缘”。

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