Optimizing sound features for cortical neurons
Optimizing sound features for cortical neurons
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DOI：
10.1126/science.280.5368.1439
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发表时间：
1998-05-29
期刊：
影响因子：
56.9
通讯作者：
Merzenich, MM
中科院分区：
文献类型：
--
作者：
deCharms, RC;Blake, DT;Merzenich, MM
大脑的大脑皮层将视觉图像分解成关于定向边缘、方向和速度信息以及颜色的信息。大脑皮层是如何分解感知到的声音的？反向相关技术表明，在初级听觉皮层的清醒灵长类动物的神经元有复杂的模式的声音功能的选择性，表明敏感性刺激边缘的频率或时间，刺激的频率或强度的过渡，和功能连接。这允许创建与听觉皮层神经元的处理特性相匹配的刺激类别。为特定神经元的优选特征模式设计的刺激可以以比通常用简单刺激记录的更高的持续放电速率驱动该神经元。这些数据表明，大脑皮层使用一种特征处理系统将听觉场景分解为组成部分，这让人想起用于视觉图像的皮层分解。
The brain's cerebral cortex decomposes visual images into information about oriented edges, direction and velocity information, and color. How does the cortex decompose perceived sounds? A reverse correlation technique demonstrates that neurons in the primary auditory cortex of the awake primate have complex patterns of sound-feature selectivity that indicate sensitivity to stimulus edges in frequency or in time, stimulus transitions in frequency or intensity, and feature conjunctions. This allows the creation of classes of stimuli matched to the processing characteristics of auditory cortical neurons. Stimuli designed for a particular neuron's preferred feature pattern can drive that neuron with higher sustained firing rates than have typically been recorded with simple stimuli. These data suggest that the cortex decomposes an auditory scene into component parts using a feature-processing system reminiscent of that used for the cortical decomposition of visual images.