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首页> 外文期刊>The European Journal of Neuroscience >Stable encoding of sounds over a broad range of statistical parameters in the auditory cortex
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Stable encoding of sounds over a broad range of statistical parameters in the auditory cortex

机译：在听觉皮层的各种统计参数中对声音进行稳定的编码

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Natural auditory scenes possess highly structured statistical regularities, which are dictated by the physics of sound production in nature, such as scale-invariance. We recently identified that natural water sounds exhibit a particular type of scale invariance, in which the temporal modulation within spectral bands scales with the centre frequency of the band. Here, we tested how neurons in the mammalian primary auditory cortex encode sounds that exhibit this property, but differ in their statistical parameters. The stimuli varied in spectro-temporal density and cyclo-temporal statistics over several orders of magnitude, corresponding to a range of water-like percepts, from pattering of rain to a slow stream. We recorded neuronal activity in the primary auditory cortex of awake rats presented with these stimuli. The responses of the majority of individual neurons were selective for a subset of stimuli with specific statistics. However, as a neuronal population, the responses were remarkably stable over large changes in stimulus statistics, exhibiting a similar range in firing rate, response strength, variability and information rate, and only minor variation in receptive field parameters. This pattern of neuronal responses suggests a potentially general principle for cortical encoding of complex acoustic scenes: while individual cortical neurons exhibit selectivity for specific statistical features, a neuronal population preserves a constant response structure across a broad range of statistical parameters.
机译：自然的听觉场景具有高度结构化的统计规律，这些规律由自然界中声音产生的物理特性（如尺度不变性）决定。我们最近发现，自然水声表现出特定类型的尺度不变性，其中频谱带内的时间调制随频带的中心频率成比例。在这里，我们测试了哺乳动物初级听觉皮层中的神经元如何编码表现出这种特性但声音统计参数不同的声音。刺激在光谱时密度和环时统计中变化了几个数量级，对应于从降雨到缓慢流的一系列水样感知。我们记录了呈现这些刺激的清醒大鼠的初级听觉皮层的神经元活动。大多数个体神经元的反应对具有特定统计数据的刺激子集具有选择性。但是，作为神经元群体，在刺激统计数据发生较大变化时，响应是非常稳定的，其发射速率，响应强度，变异性和信息速率的范围相似，而感受野参数只有很小的变化。这种神经元反应模式提示了复杂声学场景的皮层编码的潜在一般原则：虽然单个皮层神经元对特定统计特征表现出选择性，但神经元种群在广泛的统计参数范围内保持恒定的响应结构。

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