Nonlinear temporal receptive fields of neurons in the dorsal cochlear nucleus.
Nonlinear temporal receptive fields of neurons in the dorsal cochlear nucleus.
复制标题
耳蜗背核神经元的非线性时间感受野。
DOI：
10.1152/jn.00278.2013
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发表时间：
2013
影响因子：
2.5
通讯作者：
Young,EricD
中科院分区：
文献类型：
--
作者：
Bandyopadhyay,Sharba;Young,EricD
耳蜗背核（DCN）的研究集中在频谱处理，因为DCN的复杂的频谱感受野。然而，自然信号的时间波动传达了重要的信息，包括关于移动声源或猫等动物外耳运动的信息。在这里，我们调查的DCN主神经元的时间滤波特性，通过使用时间加权函数，允许灵活的分析非线性和时间响应特性的时间变化。来自神经元的一阶时间感受野足以表征其对低对比度（3 dB标准差）刺激的响应特性。较大的对比度需要二阶项。允许一阶模型的参数随时间变化或添加代表耐火度的组分以相对少量的方式改进模型的预测。通过模拟不同声级下的非线性包络同步行为，说明了模型中二阶分量的重要性。时间模型可以与频谱模型相结合，以预测对移动声音的速度和方向的调谐。
Studies of the dorsal cochlear nucleus (DCN) have focused on spectral processing because of the complex spectral receptive fields of the DCN. However, temporal fluctuations in natural signals convey important information, including information about moving sound sources or movements of the external ear in animals like cats. Here, we investigate the temporal filtering properties of DCN principal neurons through the use of temporal weighting functions that allow flexible analysis of nonlinearities and time variation in temporal response properties. First-order temporal receptive fields derived from the neurons are sufficient to characterize their response properties to low-contrast (3-dB standard deviation) stimuli. Larger contrasts require the second-order terms. Allowing temporal variation of the parameters of the first-order model or adding a component representing refractoriness improves predictions by the model by relatively small amounts. The importance of second-order components of the model is shown through simulations of nonlinear envelope synchronization behavior across sound level. The temporal model can be combined with a spectral model to predict tuning to the speed and direction of moving sounds.