Department of Psychological and Brain Sciences, Johns Hopkins University, Baltimore, Maryland.
Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, Maryland.
J Neurophysiol. 2021 Nov 1;126(5):1772-1782. doi: 10.1152/jn.00109.2021. Epub 2021 Oct 20.
The discrimination of complex sounds is a fundamental function of the auditory system. This operation must be robust in the presence of noise and acoustic clutter. Echolocating bats are auditory specialists that discriminate sonar objects in acoustically complex environments. Bats produce brief signals, interrupted by periods of silence, rendering echo snapshots of sonar objects. Sonar object discrimination requires that bats process spatially and temporally overlapping echoes to make split-second decisions. The mechanisms that enable this discrimination are not well understood, particularly in complex environments. We explored the neural underpinnings of sonar object discrimination in the presence of acoustic scattering caused by physical clutter. We performed electrophysiological recordings in the inferior colliculus of awake big brown bats, to broadcasts of prerecorded echoes from physical objects. We acquired single unit responses to echoes and discovered a subpopulation of IC neurons that encode acoustic features that can be used to discriminate between sonar objects. We further investigated the effects of environmental clutter on this population's encoding of acoustic features. We discovered that the effect of background clutter on sonar object discrimination is highly variable and depends on object properties and target-clutter spatiotemporal separation. In many conditions, clutter impaired discrimination of sonar objects. However, in some instances clutter enhanced acoustic features of echo returns, enabling higher levels of discrimination. This finding suggests that environmental clutter may augment acoustic cues used for sonar target discrimination and provides further evidence in a growing body of literature that noise is not universally detrimental to sensory encoding. Bats are powerful animal models for investigating the encoding of auditory objects under acoustically challenging conditions. Although past work has considered the effect of acoustic clutter on sonar target detection, less is known about target discrimination in clutter. Our work shows that the neural encoding of auditory objects was affected by clutter in a distance-dependent manner. These findings advance the knowledge on auditory object detection and discrimination and noise-dependent stimulus enhancement.
复杂声音的辨别是听觉系统的基本功能。这种操作必须在噪声和声波混响存在的情况下具有稳健性。回声定位蝙蝠是听觉专家,能够在复杂的声学环境中辨别声纳目标。蝙蝠会产生短暂的信号,其间会有一段时间的静默,从而形成声纳目标的回声快照。声纳目标的辨别要求蝙蝠处理空间和时间上重叠的回声,以便在瞬间做出决策。但是,对于这种辨别所涉及的机制,人们还不是很了解,尤其是在复杂环境中。我们在物理混响引起的声散射环境中,探索了声纳目标辨别背后的神经基础。我们在清醒的大棕蝠的下丘脑中进行了电生理记录,以记录来自物理物体的预录回声。我们获得了对回声的单个神经元反应,并发现了一个亚群的 IC 神经元,它们可以编码用于声纳目标辨别之间的声特征。我们进一步研究了环境混响对该群体声特征编码的影响。我们发现,背景混响对声纳目标辨别效果具有高度可变性,并且取决于物体属性和目标-杂波的时空分离。在许多情况下,混响会降低声纳目标的辨别能力。但是,在某些情况下,混响会增强回声的回波特征,从而提高辨别水平。这一发现表明,环境混响可能会增强用于声纳目标辨别的声线索,并为越来越多的文献提供了证据,表明噪声并不总是对感觉编码有害。蝙蝠是研究在声学挑战性条件下听觉对象编码的有力动物模型。尽管过去的研究已经考虑了声混响对声纳目标检测的影响,但对于混响中的目标辨别知之甚少。我们的工作表明,听觉物体的神经编码以距离依赖的方式受到混响的影响。这些发现提高了对听觉物体检测和辨别以及噪声依赖的刺激增强的认识。