Stable encoding of sounds over a broad range of statistical parameters in the auditory cortex.

Stable encoding of sounds over a broad range of statistical parameters in the auditory cortex.
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DOI:
10.1111/ejn.13144
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发表时间:
2016-03
期刊:
The European journal of neuroscience
影响因子:
--
通讯作者:
Geffen MN
Geffen MN
中科院分区:
其他
文献类型:
--
作者:
Blackwell JM;Taillefumier TO;Natan RG;Carruthers IM;Magnasco MO;Geffen MN

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自然听觉场景具有高度结构化的统计特性,这是由自然界中声音产生的物理特性决定的,例如尺度不变性。我们最近发现,自然水声表现出一种特殊类型的标度不变性,其中频谱带内的时间调制与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的声音,但它们的统计参数不同。这些刺激在频谱时间密度和循环时间统计上的变化超过了几个数量级,对应于一系列类似水的感知,从淅淅沥沥的雨到缓慢的水流。我们记录了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于具有特定统计的刺激子集是选择性的。然而,作为一个神经元的人口,反应是显着稳定的刺激统计的大的变化,表现出类似的范围内的放电率,反应强度,变异性和信息率,只有微小的变化,在感受野参数。这种模式的神经元的反应表明一个潜在的一般原则复杂的声学场景的皮质编码:虽然个别皮质神经元表现出特定的统计特征的选择性,神经元群体保持恒定的响应结构在广泛的统计参数。
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.
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