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超类经典调谐预测听觉神经元中刺激依赖性感受野。

Extra-classical tuning predicts stimulus-dependent receptive fields in auditory neurons.

机构信息

Doctoral Program in Neurobiology and Behavior, Columbia University, New York, New York 10027, USA.

出版信息

J Neurosci. 2011 Aug 17;31(33):11867-78. doi: 10.1523/JNEUROSCI.5790-10.2011.

Abstract

The receptive fields of many sensory neurons are sensitive to statistical differences among classes of complex stimuli. For example, excitatory spectral bandwidths of midbrain auditory neurons and the spatial extent of cortical visual neurons differ during the processing of natural stimuli compared to the processing of artificial stimuli. Experimentally characterizing neuronal nonlinearities that contribute to stimulus-dependent receptive fields is important for understanding how neurons respond to different stimulus classes in multiple sensory modalities. Here we show that in the zebra finch, many auditory midbrain neurons have extra-classical receptive fields, consisting of sideband excitation and sideband inhibition. We also show that the presence, degree, and asymmetry of stimulus-dependent receptive fields during the processing of complex sounds are predicted by the presence, valence, and asymmetry of extra-classical tuning. Neurons for which excitatory bandwidth expands during the processing of song have extra-classical excitation. Neurons for which frequency tuning is static and for which excitatory bandwidth contracts during the processing of song have extra-classical inhibition. Simulation experiments further demonstrate that stimulus-dependent receptive fields can arise from extra-classical tuning with a static spike threshold nonlinearity. These findings demonstrate that a common neuronal nonlinearity can account for the stimulus dependence of receptive fields estimated from the responses of auditory neurons to stimuli with natural and non-natural statistics.

摘要

许多感觉神经元的感受野对复杂刺激类别的统计差异敏感。例如,与人工刺激相比,中脑听觉神经元的兴奋光谱带宽和皮质视觉神经元的空间范围在处理自然刺激时会有所不同。实验表征有助于刺激依赖性感受野的神经元非线性对于理解神经元如何在多种感觉模态中对不同的刺激类做出反应非常重要。在这里,我们表明,在斑马雀中,许多听觉中脑神经元具有类外感受野,由边带兴奋和边带抑制组成。我们还表明,在处理复杂声音时,依赖于刺激的感受野的存在、程度和不对称性,由类外调谐的存在、效价和不对称性来预测。在处理歌曲时,兴奋性带宽扩大的神经元具有类外兴奋。在处理歌曲时,频率调谐保持静态且兴奋性带宽收缩的神经元具有类外抑制。模拟实验进一步表明,具有静态尖峰阈值非线性的类外调谐可以产生依赖于刺激的感受野。这些发现表明,一种常见的神经元非线性可以解释从听觉神经元对具有自然和非自然统计信息的刺激的反应中估计的感受野的刺激依赖性。

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