Department of Physiology, Anatomy and Genetics, https://ror.org/052gg0110University of Oxford, Oxford, United Kingdom.
Physiol Rev. 2023 Apr 1;103(2):1025-1058. doi: 10.1152/physrev.00011.2022. Epub 2022 Sep 1.
Adaptation is an essential feature of auditory neurons, which reduces their responses to unchanging and recurring sounds and allows their response properties to be matched to the constantly changing statistics of sounds that reach the ears. As a consequence, processing in the auditory system highlights novel or unpredictable sounds and produces an efficient representation of the vast range of sounds that animals can perceive by continually adjusting the sensitivity and, to a lesser extent, the tuning properties of neurons to the most commonly encountered stimulus values. Together with attentional modulation, adaptation to sound statistics also helps to generate neural representations of sound that are tolerant to background noise and therefore plays a vital role in auditory scene analysis. In this review, we consider the diverse forms of adaptation that are found in the auditory system in terms of the processing levels at which they arise, the underlying neural mechanisms, and their impact on neural coding and perception. We also ask what the dynamics of adaptation, which can occur over multiple timescales, reveal about the statistical properties of the environment. Finally, we examine how adaptation to sound statistics is influenced by learning and experience and changes as a result of aging and hearing loss.
适应是听觉神经元的一个基本特征,它降低了神经元对不变和重复声音的反应,使它们的反应特性与到达耳朵的不断变化的声音统计数据相匹配。因此,听觉系统的处理过程突出了新颖或不可预测的声音,并通过不断调整神经元的灵敏度(在较小程度上还调整调谐特性)以适应最常见的刺激值,从而对动物可以感知的广泛范围的声音进行高效表示。与注意力调节一起,对声音统计数据的适应还有助于生成对背景噪声具有耐受性的声音神经表示,因此在听觉场景分析中起着至关重要的作用。在这篇综述中,我们根据其出现的处理水平、潜在的神经机制以及对神经编码和感知的影响,考虑了听觉系统中存在的多种适应形式。我们还询问了适应的动态(可以在多个时间尺度上发生)可以揭示有关环境统计特性的哪些信息。最后,我们研究了声音统计数据的适应如何受到学习和经验的影响,并由于年龄和听力损失而发生变化。