Sparse and background-invariant coding of vocalizations in auditory scenes.

Sparse and background-invariant coding of vocalizations in auditory scenes.
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DOI:
10.1016/j.neuron.2013.04.038
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发表时间:
2013-07-10
期刊:
影响因子:
16.2
通讯作者:
Woolley SM
Woolley SM
中科院分区:
医学1区
文献类型:
--
作者:
Schneider DM;Woolley SM

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人类和鸣禽等声音传播者很容易识别个体的声音,即使在分散注意力的听觉环境中。这种感知能力很可能是由听觉神经元提供的,听觉神经元对个体发声的尖峰反应受背景声音的影响最小。然而,听觉神经元产生的背景不变的反应,在听觉scenaries.Here,我们描述了一个人口的斑胸草雀听觉皮层,代表发声与稀疏的代码,并保持他们的发声样放电模式的背景声音,允许行为识别的水平的神经元。这些神经元减少或停止了阻止行为识别的背景声音水平。相比之下,上游神经元代表具有密集和背景破坏响应的发声。我们提供的实验证据表明,稀疏编码介导的前馈抑制。最后,我们通过模拟表明,前馈抑制可以将密集表示的发声稀疏和背景不变的表示。
Vocal communicators such as humans and songbirds readily recognize individual vocalizations, even in distracting auditory environments. This perceptual ability is likely subserved by auditory neurons whose spiking responses to individual vocalizations are minimally affected by background sounds. However, auditory neurons that produce background-invariant responses to vocalizations in auditory scenes have not been found. Here, we describe a population of neurons in the zebra finch auditory cortex that represent vocalizations with a sparse code and that maintain their vocalization-like firing patterns in levels of background sound that permit behavioral recognition. These same neurons decrease or stop spiking in levels of background sound that preclude behavioral recognition. In contrast, upstream neurons represent vocalizations with dense and background-corrupted responses. We provide experimental evidence suggesting that sparse coding is mediated by feedforward suppression. Finally, we show through simulations that feedforward inhibition can transform a dense representation of vocalizations into a sparse and background-invariant representation.
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