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金丝雀歌声中的长程有序。

Long-range order in canary song.

机构信息

Department of Cognitive and Neural Systems, Boston University, Boston, Massachusetts, USA.

出版信息

PLoS Comput Biol. 2013;9(5):e1003052. doi: 10.1371/journal.pcbi.1003052. Epub 2013 May 2.

Abstract

Bird songs range in form from the simple notes of a Chipping Sparrow to the rich performance of the nightingale. Non-adjacent correlations can be found in the syntax of some birdsongs, indicating that the choice of what to sing next is determined not only by the current syllable, but also by previous syllables sung. Here we examine the song of the domesticated canary, a complex singer whose song consists of syllables, grouped into phrases that are arranged in flexible sequences. Phrases are defined by a fundamental time-scale that is independent of the underlying syllable duration. We show that the ordering of phrases is governed by long-range rules: the choice of what phrase to sing next in a given context depends on the history of the song, and for some syllables, highly specific rules produce correlations in song over timescales of up to ten seconds. The neural basis of these long-range correlations may provide insight into how complex behaviors are assembled from more elementary, stereotyped modules.

摘要

鸟鸣的形式多种多样,从麻雀简单的啁啾声到夜莺丰富的歌声。一些鸟鸣的句法中存在非相邻相关性,这表明下一个要唱什么的选择不仅取决于当前音节,还取决于之前唱过的音节。在这里,我们研究了家养金丝雀的歌声,这是一种复杂的歌手,它的歌声由音节组成,这些音节被组合成灵活排列的短语。短语由一个独立于基本音节持续时间的基本时间尺度定义。我们表明,短语的排序受长程规则的控制:在给定的上下文中选择下一个要唱的短语取决于歌曲的历史,对于某些音节,高度特定的规则会在长达十秒的时间尺度上产生歌曲中的相关性。这些长程相关性的神经基础可能为复杂行为如何从更基本的、刻板的模块中组合提供了线索。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1a4e/3642045/8a9b9f55f979/pcbi.1003052.g001.jpg

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