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首页> 外文期刊>The European Journal of Neuroscience >Meaning in the avian auditory cortex: neural representation of communication calls
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Meaning in the avian auditory cortex: neural representation of communication calls

机译：禽听觉皮层中的含义：交流通话的神经表示

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摘要

Understanding how the brain extracts the behavioral meaning carried by specific vocalization types that can be emitted by various vocalizers and in different conditions is a central question in auditory research. This semantic categorization is a fundamental process required for acoustic communication, and presupposes discriminative and invariance properties of the auditory system for conspecific vocalizations. Songbirds have been used extensively to study vocal learning, but the communicative function of all their vocalizations and their neural representation has yet to be examined. In this study, we first generated a library containing almost the entire zebra finch vocal repertoire, and organised communication calls along nine different categories according to their behavioral meaning. We then investigated the neural representations of these semantic categories in the primary and secondary auditory areas of six anesthetised zebra finches. To analyse how single units encode these call categories, we described neural responses in terms of their discrimination, selectivity and invariance properties. Quantitative measures for these neural properties were obtained with an optimal decoder using both spike counts and spike patterns. Information theoretic metrics show that almost half of the single units encode semantic information. Neurons achieve higher discrimination of these semantic categories by being more selective and more invariant. These results demonstrate that computations necessary for semantic categorization of meaningful vocalizations are already present in the auditory cortex, and emphasise the value of a neuro-ethological approach to understand vocal communication.
机译：了解大脑如何提取特定发声类型所携带的行为含义，这些发声类型可以在不同条件下由各种发声器发出，这是听觉研究的中心问题。这种语义分类是声学通信所需的基本过程，并且以听觉系统的判别性和不变性为前提来进行特定的发声。鸣鸟已被广泛用于研究声乐学习，但是所有声乐的发声功能及其神经表征尚待研究。在这项研究中，我们首先生成了一个包含几乎所有斑马雀科声乐曲目的库，并根据其行为含义将通信呼叫分为九个不同类别。然后，我们研究了六种麻醉斑马雀的主要和次要听觉区域中这些语义类别的神经表示。为了分析单个单元如何编码这些调用类别，我们根据它们的区分性，选择性和不变性描述了神经反应。使用尖峰计数和尖峰模式的最佳解码器获得了针对这些神经属性的定量测量。信息理论指标表明，几乎一半的单个单元都编码语义信息。神经元通过更具选择性和更多不变性来实现对这些语义类别的更高区分。这些结果表明，在听觉皮层中已经存在对有意义的发声进行语义分类所必需的计算，并且强调了神经行为学方法对理解发声的价值。

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