Department of Psychology, Columbia University, 406 Schermerhorn Hall, 1190 Amsterdam Ave, New York, NY 10027, USA.
J Neurophysiol. 2010 Jun;103(6):3248-65. doi: 10.1152/jn.01131.2009. Epub 2010 Mar 31.
Many social animals including songbirds use communication vocalizations for individual recognition. The perception of vocalizations depends on the encoding of complex sounds by neurons in the ascending auditory system, each of which is tuned to a particular subset of acoustic features. Here, we examined how well the responses of single auditory neurons could be used to discriminate among bird songs and we compared discriminability to spectrotemporal tuning. We then used biologically realistic models of pooled neural responses to test whether the responses of groups of neurons discriminated among songs better than the responses of single neurons and whether discrimination by groups of neurons was related to spectrotemporal tuning and trial-to-trial response variability. The responses of single auditory midbrain neurons could be used to discriminate among vocalizations with a wide range of abilities, ranging from chance to 100%. The ability to discriminate among songs using single neuron responses was not correlated with spectrotemporal tuning. Pooling the responses of pairs of neurons generally led to better discrimination than the average of the two inputs and the most discriminating input. Pooling the responses of three to five single neurons continued to improve neural discrimination. The increase in discriminability was largest for groups of neurons with similar spectrotemporal tuning. Further, we found that groups of neurons with correlated spike trains achieved the largest gains in discriminability. We simulated neurons with varying levels of temporal precision and measured the discriminability of responses from single simulated neurons and groups of simulated neurons. Simulated neurons with biologically observed levels of temporal precision benefited more from pooling correlated inputs than did neurons with highly precise or imprecise spike trains. These findings suggest that pooling correlated neural responses with the levels of precision observed in the auditory midbrain increases neural discrimination of complex vocalizations.
许多社会性动物,包括鸣禽,都会使用通讯叫声来进行个体识别。声音的感知取决于上行听觉系统中神经元对复杂声音的编码,每个神经元都调谐到特定的声学特征子集。在这里,我们研究了单个听觉神经元的反应在多大程度上可以用于区分鸟类的歌声,并将可辨别性与声谱时间调谐进行了比较。然后,我们使用群体神经元反应的生物现实模型来测试群体神经元的反应是否比单个神经元的反应更好地区分歌曲,以及群体神经元的区分是否与声谱时间调谐和逐次试验反应变异性有关。单个听觉中脑神经元的反应可以用于以广泛的能力区分声音,从机会到 100%。使用单个神经元反应来区分歌曲的能力与声谱时间调谐无关。通常,将两个神经元的反应进行池化会导致比两个输入的平均值和最具区分性的输入更好的区分。将三到五个单个神经元的反应进行池化会继续提高神经区分度。对于具有相似声谱时间调谐的神经元群体,可辨别性的提高最大。此外,我们发现具有相关脉冲串的神经元群体可以实现最大的可辨别性增益。我们模拟了具有不同时间精度水平的神经元,并测量了单个模拟神经元和群体模拟神经元的反应的可辨别性。与具有高度精确或不精确脉冲串的神经元相比,具有生物观察到的时间精度水平的模拟神经元从相关输入的池化中受益更多。这些发现表明,与听觉中脑观察到的精度水平相关的群体神经元反应的池化可以提高对复杂声音的神经辨别能力。