Department of Bioengineering, Imperial College London, London, UK.
J Physiol. 2023 Sep;601(18):4091-4104. doi: 10.1113/JP285003. Epub 2023 Aug 14.
A central question in sensory neuroscience is how neurons represent complex natural stimuli. This process involves multiple steps of feature extraction to obtain a condensed, categorical representation useful for classification and behaviour. It has previously been shown that central auditory neurons in the starling have composite receptive fields composed of multiple features. Whether this property is an idiosyncratic characteristic of songbirds, a group of highly specialized vocal learners or a generic property of sensory processing is unknown. To address this question, we have recorded responses from auditory cortical neurons in mice, and characterized their receptive fields using mouse ultrasonic vocalizations (USVs) as a natural and ethologically relevant stimulus and pitch-shifted starling songs as a natural but ethologically irrelevant control stimulus. We have found that these neurons display composite receptive fields with multiple excitatory and inhibitory subunits. Moreover, this was the case with either the conspecific or the heterospecific vocalizations. We then trained the sparse filtering algorithm on both classes of natural stimuli to obtain statistically optimal features, and compared the natural and artificial features using UMAP, a dimensionality-reduction algorithm previously used to analyse mouse USVs and birdsongs. We have found that the receptive-field features obtained with both types of the natural stimuli clustered together, as did the sparse-filtering features. However, the natural and artificial receptive-field features clustered mostly separately. Based on these results, our general conclusion is that composite receptive fields are not a unique characteristic of specialized vocal learners but are likely a generic property of central auditory systems. KEY POINTS: Auditory cortical neurons in the mouse have composite receptive fields with several excitatory and inhibitory features. Receptive-field features capture temporal and spectral modulations of natural stimuli. Ethological relevance of the stimulus affects the estimation of receptive-field dimensionality.
感觉神经科学的一个核心问题是神经元如何表示复杂的自然刺激。这个过程涉及到多个特征提取步骤,以获得用于分类和行为的浓缩、分类表示。先前已经表明,在八哥中,中枢听觉神经元具有由多个特征组成的复合感受野。这种特性是鸣禽特有的、高度专门化的发声学习者的特性,还是感觉处理的一般特性尚不清楚。为了解决这个问题,我们记录了小鼠听觉皮层神经元的反应,并使用小鼠超声发声(USVs)作为自然且与行为相关的刺激以及移频八哥歌声作为自然但与行为无关的对照刺激来描述它们的感受野。我们发现这些神经元显示出具有多个兴奋性和抑制性亚单位的复合感受野。此外,无论是同种还是异种发声,都是如此。然后,我们使用稀疏滤波算法对这两类自然刺激进行训练,以获得统计上最优的特征,并使用 UMAP(一种以前用于分析小鼠 USVs 和鸟鸣的降维算法)比较自然和人工特征。我们发现,使用这两种自然刺激获得的感受野特征聚类在一起,稀疏滤波特征也是如此。然而,自然和人工感受野特征大多是分开聚类的。基于这些结果,我们的总体结论是,复合感受野不是专门的发声学习者的独特特征,而是中枢听觉系统的一般特征。关键点:小鼠听觉皮层神经元具有几个兴奋性和抑制性特征的复合感受野。感受野特征捕获自然刺激的时频调制。刺激的行为相关性影响感受野维度的估计。