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Vocal Exploration Is Locally Regulated during Song Learning

机译:歌唱学习中的声乐探索受当地规范

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摘要

Exploratory variability is essential for sensorimotor learning, but it is not known how and at what timescales it is regulated. We manipulated song learning in zebra finches to experimentally control the requirements for vocal exploration in different parts of their song. We first trained birds to perform a one-syllable song, and once they mastered it, we added a new syllable to the song model. Remarkably, when practicing the modified song, birds rapidly alternated between high and low acoustic variability to confine vocal exploration to the newly added syllable. Furthermore, even within syllables, acoustic variability changed independently across song elements that were only milliseconds apart. Analysis of the entire vocal output during learning revealed that the variability of each song element decreased as it approached the target, correlating with momentary local distance from the target and less so with the overall distance within a syllable. We conclude that vocal error is computed locally in subsyllabic timescales and that song elements can be learned and crystallized independently. Songbirds have dedicated brain circuitry for vocal babbling in the anterior forebrain pathway (AFP), which generates exploratory song patterns that drive premotor neurons at the song nucleus RA. We hypothesize that either AFP adjusts the gain of vocal exploration in fine timescales or that the sensitivity of RA premotor neurons to AFP/HVC inputs varies across song elements.
机译:探索性变化对于感觉运动学习至关重要,但尚不清楚如何以及在什么时间尺度上对其进行调节。我们在斑马雀科中操纵歌曲学习,以实验方式控制其歌曲不同部分中进行声音探索的要求。我们首先训练鸟类表演单音节的歌曲,一旦他们掌握了这首歌,我们就在歌曲模型中添加了一个新的音节。值得注意的是,练习改编的歌曲时,鸟类会在高和低声学变化之间快速交替,以将声音探索限制在新添加的音节中。此外,即使在音节内,声学变异性在仅相隔毫秒的歌曲元素之间也独立变化。在学习过程中对整个声音输出的分析表明,每个歌曲元素的可变性随着其接近目标而减小,与离目标的瞬时局部距离相关,而与音节内的总距离相关较小。我们得出的结论是,语音错误是在亚音节时标中本地计算的,并且歌曲元素可以独立学习和结晶。鸣禽具有专用的大脑电路,用于前脑前路(AFP)中的声音发声,这会产生探索性歌曲模式,从而驱动歌曲核RA上的运动前神经元。我们假设AFP可以在精细的时间范围内调整声音探索的增益,或者RA前运动神经元对AFP / HVC输入的敏感度在歌曲元素之间会有所不同。

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