Neural population coding of sound level adapts to stimulus statistics
Neural population coding of sound level adapts to stimulus statistics
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DOI：
10.1038/nn1541
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发表时间：
2005-12-01
影响因子：
25
通讯作者：
McAlpine, D
中科院分区：
文献类型：
--
作者：
Dean, I;Harper, NS;McAlpine, D
哺乳动物可以非常准确地听到各种声级的声音。听觉神经元如何编码如此范围内的声级尚不清楚。单个神经元的放电率随着声级的增加而增加，仅在整个听力范围的非常有限的部分内。我们表明，豚鼠听觉中脑中的神经元会调整其对声级分布的平均值、方差和更复杂的统计数据的反应。我们证明这些调整提高了接近最常见声级区域的神经群体代码的准确性。这扩展了可以精确编码的声级范围，根据当地声学环境微调听力。
Mammals can hear sounds extending over a vast range of sound levels with remarkable accuracy. How auditory neurons code sound level over such a range is unclear; firing rates of individual neurons increase with sound level over only a very limited portion of the full range of hearing. We show that neurons in the auditory midbrain of the guinea pig adjust their responses to the mean, variance and more complex statistics of sound level distributions. We demonstrate that these adjustments improve the accuracy of the neural population code close to the region of most commonly occurring sound levels. This extends the range of sound levels that can be accurately encoded, fine-tuning hearing to the local acoustic environment.